Программная инженерия
Степень
Бакалавр Информационно-коммуникационные технологии
Продолжительность
4 года
Treshold score for state scholarship
120
Threshold score for paid department
85
ECTS
240
Требуемый уровень английского языка
B1 (Intermediate)
Программа “Программное инженерия” предназначена для того, чтобы вооружить студентов навыками и знаниями, необходимыми для проектирования, разработки и сопровождения сложных программных систем с использованием инженерных принципов. Учебная программа охватывает ряд тем, включая проектирование программного обеспечения, языки программирования, структуры данных, тестирование программного обеспечения и управление проектами, а также акцентирует внимание на решении проблем, работе в команде и эффективном общении. Выпускники готовятся к различным ролям в технологической индустрии, таким как разработчики программного обеспечения, системные аналитики и инженеры по контролю качества, и получают практический опыт через проекты и стажировки, гарантируя, что они готовы соответствовать требованиям современного ландшафта разработки программного обеспечения.
- Демонстрировать владение несколькими языками программирования и инструментами разработки программного обеспечения.
- Разработка, внедрение и оценка программных решений, отвечающих конкретным требованиям.
- Применять принципы и методологии программной инженерии для проектирования и разработки программных систем.
- Создавайте масштабируемые, поддерживаемые и эффективные архитектуры программного обеспечения.
- Анализировать сложные проблемы, выявлять и определять требования к вычислительной технике, необходимой для их решения.
- Использовать соответствующие структуры данных и алгоритмы для решения вычислительных задач.
- Разработка и выполнение планов тестирования для обеспечения функциональности, производительности и надежности программного обеспечения.
- Применяйте методы обеспечения качества программного обеспечения, включая автоматизированное тестирование и анализ кода.
- Эффективно общаться с заинтересованными сторонами как технического, так и нетехнического характера посредством письменной документации и устных презентаций.
- Постоянное профессиональное развитие и знакомство с новыми технологиями и практиками в области разработки программного обеспечения.
- Интеграция теоретических знаний с практическим опытом через проекты, стажировки или кооперативное обучение для решения реальных проблем.
Наименование дисциплины | Краткое описание дисциплины | Кредиты |
Предпринимательство | Курс предназначен для того, чтобы дать студентам глубокое понимание предпринимательства. фокусируется на уникальных проблемах и возможностях, которые возникают при запуске и управлении ИТ-связанными предприятия и предоставляет студентам знания, навыки и образ мышления, необходимые для успешной навигации динамичный ландшафт отрасли как предпринимателей. | 5 |
Экология | Курс дает новые знания о взаимозависимости между людьми и природой, которая жизненно важна для производства продуктов питания, поддержания чистоты воздуха и воды, а также сохранения биоразнообразия в условиях меняющегося климата. | 5 |
Экономика | Курс представлен всесторонний обзор принципов, систем и динамики, которые управляют производством, распределением и потреблением товаров и услуг в обществе. Благодаря изучению таких тем, как макроэкономика, микроэкономика, рыночные структуры и экономическая политика, участники получают представление о функционировании экономики на местном, национальном и глобальном уровнях. Цель этого курса — предоставить учащимся знания и аналитические инструменты, необходимые для понимания экономических явлений, принятия обоснованных решений и внесения вклада в экономическое развитие и процветание. | 5 |
Финансовая грамотность | Курс предназначен для того, чтобы предоставить студентам необходимые знания и навыки для эффективного управления личными финансами. Он охватывает широкий круг тем, включая основы составления бюджета, сбережений и инвестирования, а также понимание управления кредитами и долгом. Студенты узнают о различных доступных финансовых продуктах и услугах, таких как банковские счета, кредиты, ипотека и страхование. | 5 |
Основы антикоррупционной культуры | Курс дает студентам фундаментальное представление о правовых теориях и принципах, уделяя особое внимание действующему законодательству и правовой системе. Он охватывает основные правовые рамки современного мира, включая нормы права и правовые взаимодействия. В курсе также рассматривается правовое положение отдельных лиц, подробно описываются их права, обязанности и пассивность. | 5 |
Основы безопасности жизнедеятельности | Курс дает фундаментальные знания и практики, необходимые для обеспечения безопасности и благополучия людей в различных средах. Этот курс направлен на то, чтобы вооружить участников необходимыми навыками для выявления и реагирования на потенциальные опасности, чрезвычайные ситуации и угрозы для жизни. Участники узнают о пожарной безопасности, процедурах экстренной эвакуации, основах оказания первой помощи и общих протоколах безопасности, что позволит им снизить риски и защитить себя и других в повседневных ситуациях. | 5 |
Право | Курс дает необходимые знания по теории основные правовые понятия и базовые сведения о действующем законодательстве, а также о системе права; основных правовых системах современности; нормах права и правоотношениях; правовом статусе личности, правах, обязанностях и ответственности; трудовых, семейных и гражданских правах и обязанностях граждан; правосудии; правонарушениях и юридической ответственности. | 5 |
Методы исследования | Курс дает студентам всестороннее понимание принципов, методов и процессов, связанных с проведением исследований в различных дисциплинах таких как информационной системы. Благодаря сочетанию теоретического обучения и практического применения студенты учатся эффективно разрабатывать, реализовывать и оценивать научные исследования. | 5 |
Системы управления базами данных 1 | Курс направлен на развитие передовых навыков работы с базами данных SQL и NoSQL с упором на практическое применение. Студенты начнут с изучения того, как писать сложные SQL-запросы, включая внутренние запросы и соединения. Они также узнают, как эффективно нормализовать базу данных, чтобы повысить эффективность и уменьшить избыточность. | 5 |
Дискретная математика | Курс обучает: Принципы исчисления. Элементы комбинаторики. Отношения. Функции. Логика операторов. Производящие функции. Повторяемость. Вычисления. | 5 |
Основы программирования | Курса направлен на формирование у обучающихся теоретических знаний и навыков по алгоритмизации вычислительных процессов и созданию программ на языке программирования (по выбору) для решения инженерно-технических и информационно-логических задач. Знать основные понятия программирования, понятия типов данных, алгоритмических структур и методов работы с ними. | 5 |
Немецкий язык 1 | Курс знакомит студентов с основами немецкого языка, включая словарный запас, грамматику и базовые навыки разговорной речи. Через интерактивные занятия и культурные активности студенты развивают умения в чтении, письме, аудировании и разговоре на немецком языке. Цель курса – заложить прочный фундамент для дальнейшего изучения языка и культурного погружения. | 5 |
Немецкий язык 2 | Курс продолжает развитие базовых навыков, приобретенных на курсе “Немецкий язык 1”, с акцентом на расширение словарного запаса, грамматических знаний и уровня коммуникации. Студенты углубляются в изучение сложных языковых структур и культурных особенностей через иммерсивные активности и обсуждения. Путем работы с аутентичными материалами и интерактивными упражнениями студенты дальше развивают свои языковые навыки и понимание культуры. | 5 |
Введение в алгоритмы | Курс представляет собой введение в математическое моделирование вычислительных задач. Он охватывает общие алгоритмы, алгоритмические парадигмы и структуры данных, используемые для решения этих проблем. Курс подчеркивает взаимосвязь между алгоритмами и программированием и знакомит с основными показателями производительности и методами анализа этих проблем. | 5 |
Линейная алгебра | Курс обучает: Системы линейных уравнений. Матрицы. Детерминанты. Векторные пространства. Линейные операторы. Собственные значения и векторы. Жордановы формы. Квадратичные формы. Приложения к непрерывной математике. | 5 |
Математика для информационных систем 1 | Курс призван обеспечить прочную основу в математических концепциях и методах, имеющих отношение к области информационных систем. Участники будут изучать такие темы, как алгебра, исчисление, дискретная математика и теория вероятностей, уделяя особое внимание их применениям в решении проблем, связанных с анализом данных, разработкой алгоритмов и моделированием систем. Цель этого курса – вооружить учащихся математическими навыками и способностями к рассуждению, необходимыми для анализа и оптимизации информационных систем, заложив основу для более углубленного обучения и профессиональной практики в этой области. Овладев этими математическими принципами, участники смогут принимать обоснованные решения, разрабатывать эффективные алгоритмы и эффективно решать проблемы проектирования и внедрения информационных систем. | 5 |
Вероятность и математическая статистика | Курс обучает: Обработка и анализ первичных статистических данных. Статистика как наука. Группировка. Вариационные ряды и их характеристики. Дисперсия. Основы математической теории выборки. Проверка статистических гипотез. Анализ твердых частиц. Корреляционный анализ. Регрессионный анализ. Планирования и обработки активных экспериментов. Планирование и обработка пассивного эксперимента. Методология научного исследования. Методы научного познания. Физический эксперимент. Планирование и обработка пассивного эксперимента. Планирования и обработки активных экспериментов. | 5 |
Технологии программирования и образовательная практика | Курс охватывает базовые Интерфейсы API, которые вы используете для дизайна объектно-ориентированных приложений с помощью java. Этот курс также охватывает написание программ баз данных с помощью jdbc. Используйте этот курс, чтобы дальше развивать свои навыки с помощью языка Java. | 5 |
Методы исследования и инструменты | Курс направлен на улучшение знаний студентов в области науки в области ИТ, где студенты работают совместно в группах и выполняют метаанализ статей, связанных с их областью исследований. | 5 |
Архитектура программного обеспечения и шаблоны проектирования | Курс про принципы и методологии проектирования надежных, масштабируемых и поддерживаемых программных систем. Участники изучат различные архитектурные стили, шаблоны проектирования и лучшие практики создания программных решений, которые эффективно отвечают функциональным и нефункциональным требованиям. Цель этого курса — предоставить учащимся знания и навыки для разработки гибких, модульных и адаптируемых к меняющимся потребностям бизнеса архитектур программного обеспечения. Понимая и применяя шаблоны проектирования, участники могут повысить качество, производительность и удобство сопровождения своих программных проектов, в конечном итоге обеспечивая лучшие результаты для заинтересованных сторон. | 5 |
Турецкий язык 1 (уровень А1) | Цель курса – научить студентов алфавиту турецкого языка. В ходе курса студенты изучат использовать простые повседневные слова, такие как приветствие, прощание, свидание, а также научатся представлять себя и своих членов семьи. Они также научатся называть на турецком языке страны и народности со всего мира, научатся названиям месяцев и дней недели, смогут спрашивать время. Студенты смогут пользоваться простыми грамматическими конструкциями, научатся использовать заученные слова и словосочетания по теме турецкого языка. Это формирует навыки краткой речи на легкие темы, включая рассказ о себе, обращение с просьбами, постановки вопросов, а также рассказ о себе и других, их занятиях и месте жительства. Курс укрепляет знания грамматики и особенностей турецкого языка, позволяя студентам использовать их в языковом обиходе. Учащиеся могут свободно выражать свои мысли, составляя предложения на свободную тему на турецком языке. | 4 |
Турецкий язык 2 (уровень А1) | Целью курса является развитие у студентов навыков критического мышления, публичных выступлений и владения турецким языком посредством практики дебатов на различные темы. Участвуя в клубе, студенты научатся выстраивать убедительные аргументы, эффективно исследовать и анализировать информацию, а также уверенно выступать с презентациями на турецком языке. В конечном счете, курс направлен на создание обстановки, способствующей уважительному и конструктивному диалогу, а также способствующей более глубокому пониманию важных социальных, культурных и политических проблем в турецком обществе. | 4 |
Общий. факультативный модуль | Курс представляет собой общий выборочный модуль, предоставляющий студентам гибкость в выборе курсов в соответствии с их интересами или учебными требованиями. Студенты могут выбирать из разнообразных курсов по различным дисциплинам, чтобы настроить свое образование в соответствии со своими конкретными целями и предпочтениями. Этот модуль позволяет студентам исследовать различные темы, приобретать дополнительные навыки или углублять свои знания в конкретных областях вне своей основной специализации. | 5 |
Исскуственый интелект | Курс знакомит участников с теорией, алгоритмами и применением искусственного интеллекта, стремясь обеспечить всестороннее понимание этой быстро развивающейся области. Участники изучат такие темы, как машинное обучение, нейронные сети, обработка естественного языка и компьютерное зрение. Цель этого курса — предоставить учащимся базовые знания и практические навыки, необходимые для разработки решений на базе искусственного интеллекта, которые могут решать сложные проблемы в различных областях. К концу курса участники смогут применять методы искусственного интеллекта для анализа данных, автоматизации задач и принятия разумных решений, способствуя развитию технологий и инноваций. | 5 |
Облачные вычисления AWS | Курс про то как студенты узнают, как использовать AWS SDK для разработки безопасных и масштабируемых облачных приложений с использованием нескольких сервисов AWS, таких как Amazon DynamoDB, Amazon Simple Storage Service и AWS Lambda. Они узнают, как взаимодействовать с AWS с помощью кода, а также узнают ключевые понятия, лучшие практики и советы по устранению неполадок. | 5 |
Моделирование бизнес-процессов | Курс предназначен для предоставления обзора теории и практики моделирования бизнес-процессов. В этом курсе студенты изучат основы моделирования и аналитики бизнес-процессов, включая такие концепции, как модели процессов, требования и разработка продуктов. Этот курс поможет подготовить студентов к будущим позициям бакалавра. Этот курс направлен на то, чтобы помочь студентам развить умелый подход к бизнес-аналитике. | 3 |
Компьютерные сети 1 | Курс разработан с учетом сертификации Cisco Certified Entry Technician (CCENT). Курс охватывает основы компьютерных сетей, включая сетевые модели OSI и TCP/IP, коммутацию и технологии VLAN и interVLAN, основы безопасности в компьютерных сетях ( ssh, шифрование паролей). Занятия будут проходить в традиционной лекционно-практической манере. Будут предоставлены онлайн-видеокурсы чтобы студенты могли получить знания после занятий. Все студенты будут официально зачислены в крупнейший онлайн-класс – netacad.com, где смогут получить учебные материалы, такие как онлайн-учебник, лабораторные работы на симуляторе и на реальном оборудовании, интерактивные задания, а также канал на YouTube, подготовленный специально для этого курса. Студентам, успешно завершившим курс, будут выданы сертификаты и ваучеры. | 5 |
Наука о данных | Курс предоставляет всестороннее введение в извлечение инсайтов из больших наборов данных с использованием статистических и вычислительных методов. Студенты изучают обработку данных, алгоритмы машинного обучения и методы визуализации данных для анализа сложных наборов данных. Через практические проекты и прикладные задачи курс обеспечивает студентов навыками, необходимыми для решения задач, основанных на данных, в различных областях. | 5 |
Дизайн, коммуникация и презентация | Курс направлен на развитие навыков визуальной коммуникации, принципов графического дизайна и эффективных техник презентации. Студенты учатся создавать впечатляющий визуальный контент, эффективно передавать сообщения и проводить увлекательные презентации на различных носителях. Курс акцентирует внимание на важности эстетики дизайна, ясности коммуникации и убедительности выступления. | 5 |
Цифровая этика | Курс исследует этические вопросы, связанные с технологиями и цифровыми взаимодействиями. Студенты изучают проблемы, такие как конфиденциальность, безопасность данных, онлайн-поведение и общественное влияние новых технологий. Через критический анализ курс направлен на формирование этического сознания и ответственного принятия решений в цифровой эпохе. | 5 |
Финансовый учет | Курс освещает принципы и практики записи, суммирования и отчетности по финансовым операциям. Студенты изучают подготовку финансовой отчетности, анализ финансовых показателей и интерпретацию бухгалтерской информации. Через теоретическое обучение и практические задания они приобретают навыки, необходимые для понимания и передачи финансового состояния организации. | 5 |
Основы корпоративных финансов | Курс представляет введение в основные концепции и принципы управления финансовыми решениями в корпорациях. Студенты изучают вопросы капитального бюджетирования, управления рисками и методы финансового анализа. Через анализ кейсов и практическое применение курс направлен на оснащение студентов навыками, необходимыми для принятия обоснованных финансовых решений в корпоративной среде. | 5 |
Междисциплинарный проект по разработке программного обеспечения | Курс предполагает коллективную работу для создания программных решений для реальных проблем. Студенты различных специальностей совместно разрабатывают, реализуют и внедряют программные системы. Через практический опыт и междисциплинарное взаимодействие студенты приобретают практические навыки в разработке программного обеспечения и управлении проектами. | 5 |
Введение в бизнес-администрирование | Курс представляет обзор основных концепций и принципов управления организациями. Студенты изучают темы, такие как организационная структура, лидерство и стратегическое управление. Через анализ кейсов и практические упражнения они развивают базовые навыки, необходимые для эффективного делового руководства и управления. | 5 |
Введение в управление закупками, производством и логистикой | Курс представляет обзор основных концепций и принципов управления операциями в цепи поставок. Студенты изучают стратегии закупок, планирование производства, управление запасами и техники оптимизации логистики. Через анализ кейсов и практические упражнения студенты развивают базовые навыки, необходимые для эффективного управления цепями поставок. | 5 |
Введение в разработку программного обеспечения | Курс представляет обзор основ и практик разработки программных систем. Студенты изучают жизненный цикл разработки программного обеспечения, анализ требований и методологии проектирования. Через теоретическое изучение и практические проекты студенты приобретают базовые знания и навыки, необходимые для инженерии программного обеспечения. | 5 |
IT безопасность и управление рисками | Курс обучает: Введение в байесовские сети. Прогрессивные байесовские сети. Построение байесовских сетей. Численные переменные и непрерывные функции распределения. Моделирование операционного риска. Моделирование надежности системы. Байес и правило. | 5 |
Принципы бизнес-информационных технологий | Курс, посвященный основным концепциям и инструментам использования информационных технологий в бизнесе. Студенты изучают принципы работы с компьютерными системами, программным обеспечением для бизнеса и методы их применения для оптимизации бизнес-процессов. Цель курса – подготовить студентов к эффективному использованию информационных технологий в сфере бизнеса. | 5 |
Принципы маркетинга и электронной коммерции | Курс знакомит студентов с основными концепциями и стратегиями в области маркетинга, с уклоном на цифровые платформы и онлайн-торговлю. Студенты изучают поведение потребителя, анализ рынка и методы цифрового маркетинга для эффективного продвижения продуктов и услуг в цифровой сфере. Через анализ кейсов и практические упражнения студенты развивают навыки управления электронной коммерцией и цифрового маркетинга, необходимые для успешного развития в современной бизнес-среде. | 5 |
Принципы веб-разработки | Курс знакомит студентов с основными концепциями и методиками создания динамических веб-сайтов и веб-приложений. Студенты изучают HTML, CSS, JavaScript и другие необходимые инструменты для проектирования и разработки отзывчивых и удобных для пользователя веб-интерфейсов. Через практические проекты они получают опыт в построении веб-сайтов, соответствующих стандартам и лучшим практикам отрасли. | 5 |
Управление процессами | Курс изучает методы и стратегии оптимизации бизнес-процессов для повышения эффективности и результативности. Студенты осваивают такие техники, как картографирование, анализ и улучшение процессов, чтобы оптимизировать рабочие процедуры и достичь организационных целей. Через анализ кейсов и практические упражнения студенты развивают навыки в проектировании и управлении процессами, необходимые для обеспечения успеха организации. | 5 |
Выпускной проект | Курс позволяет студентам применить свои накопленные знания и навыки к значимому проекту в своей области изучения. Студенты работают самостоятельно или в командах под руководством научных руководителей для завершения проекта, демонстрирующего их компетенцию и готовность к выпуску. Через исследования, проектирование и реализацию студенты демонстрируют свои способности и вносят вклад в развитие своей области. | 5 |
Теории Стартапов | Курс исследует основы создания и управления стартап-проектами. Студенты изучают такие темы, как генерация идей, разработка бизнес-моделей, анализ рынка и стратегии финансирования. Через анализ кейсов и интерактивные обсуждения студенты получают понимание вызовов и возможностей предпринимательства и стартап-экосистем. | 5 |
Выпускники программы “Программная инженерия” имеют широкие возможности для трудоустройства благодаря всестороннему пониманию принципов разработки программного обеспечения, практическому опыту работы с инструментами, соответствующими отраслевым стандартам, и владению несколькими языками программирования. Они хорошо подготовлены для работы в качестве разработчиков программного обеспечения, системных аналитиков, инженеров по контролю качества и менеджеров проектов в различных отраслях, включая технологию, финансы, здравоохранение и другие. Способность разрабатывать, внедрять и поддерживать программные системы, а также навыки решения проблем, работы в команде и эффективной коммуникации делают их ценным активом для работодателей в условиях быстро развивающегося цифрового ландшафта.
“Программное инженерия” – подготовить выпускников к тому, чтобы они стали успешными инженерами-программистами, умеющими проектировать, разрабатывать и поддерживать программные системы, демонстрируя при этом лидерские качества и навыки работы в команде в многодисциплинарной среде. Ожидается, что выпускники будут постоянно учиться и адаптироваться к технологическому прогрессу, соблюдать этические и социальные обязанности, вносить вклад в инновации путем эффективного решения проблем и четко излагать технические концепции. Кроме того, их поощряют к получению дополнительного образования и профессиональному развитию для дальнейшего повышения квалификации и карьерного роста.
Igibek Koishybayev
Assistant Professor
IGIBEK KOISHYBAYEV
igibek.koishybayev@sdu.edu.kz
Post
Assistant Professor
Degree qualifications
PhD in Computer Science (2023) North Carolina State University, USA
MSc in Computer Engineering (2016) Boston University, USA
BA in Information Sciences (2013) International Information Technologies University, KZ
Working Experience
Assistant Professor, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Jun 2024 – present.
Senior Security Engineer, Qualcomm Technologies, USA, 1.05.2023 – present, Secure software development infrastructure from supply chain attacks
Research Assistant, North Carolina State University, USA, 2.08.2017 – 18.03.2023, Conducting research in software supply chain security
Participated in cybersecurity workshops and seminars, presenting research findings and conducting training sessions.ng Systems Track Leader
Courses
CSC 542 Introduction to Cybersecurity, Ms
CSC 536 Linux in Cybersecurity, Ms
CSC 306 Cybersecurity, Ms
Certificates
Functions, Methods and Interfaces in Go (Coursera)
Getting Started with Go (Coursera)
Connect and Protect: Networks and Network Security (Coursera)
Tools of the Trade: Linux and SQL (Coursera)
Play it Safe: Manage Security Risks (Coursera)
Foundations of Cybersecurity (Coursera)
Research Interests
Software Supply Chain Security, Web Security, Cyber security
Publications
1. “Mininode: Reducing the Attack Surface of Node.js Applications” (2020) 23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020), 121-134, Igibek Koishybayev, Alexandros Kapravelos
2. “yoU aRe a Liar://A Unified Framework for Cross-Testing URL Parsers” (2022) 2022 IEEE Security and Privacy Workshops (SPW), 51-58, Dashmeet Kaur Ajmani, Igibek Koishybayev, Alexandros Kapravelos
3. “Characterizing the security of github {CI} workflows” (2022) 31st USENIX Security Symposium (USENIX Security 22), 2747-2763, Igibek Koishybayev, Aleksandr Nahapetyan, Raima Zachariah, Siddharth Muralee, Bradley Reaves, Alexandros Kapravelos, Aravind Machiry
4. “{ARGUS}: A Framework for Staged Static Taint Analysis of {GitHub} Workflows and Actions” (2023) 32nd USENIX Security Symposium (USENIX Security 23), 6983-7000, Siddharth Muralee, Igibek Koishybayev, Aleksandr Nahapetyan, Greg Tystahl, Brad Reaves, Antonio Bianchi, William Enck, Alexandros Kapravelos, Aravind Machiry
5. “UntrustIDE: Exploiting Weaknesses in VS Code Extensions” (2024) 31th Network and Distributed System Security Symposium, Elizabeth Lin, Igibek Koishybayev, Trevor Dunlap, William Enck, Alexandros Kapravelos
Projects
Distinguished Paper Award from NDSS, USA (2024)
Selcuk Cankurt
Senior lecturer
SELCUK CANKURT
selcuk.cankurt@sdu.edu.kz
Post
Senior lecturer
Degree qualifications
Engineering and Information Technologies Faculty in English(2015). International Burch University, Sarajevo, Bosnia and Herzegovina.
Master’s Degree Engineering and Information Technologies Faculty in English (2011). International Burch University, Sarajevo, Bosnia and Herzegovina.
Bachelor’s degree Information Technologies in English (1997), Technical Education Faculty, Marmara University, Istanbul, Turkey.
English Prep School (1992) Marmara University, Istanbul, Turkey.
Working Experience
Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, 2021 till now as Senior Lecturer, Head of Information System Department, Coordinator of the PhD and Master Program at Engineering Faculty
Lecturer, Faculty of Engineering and Informatics Ala-Too International University, Bishkek, Kyrgyzstan, 2019 – 2021 as Senior Lecturer and Head of Computer Science Department
Lecturer, Engineering Faculty Tishk International University, Erbil, Iraq, 2015 – 2019 as Senior Lecturer, a founder member and the first coordinator of the School of Graduate Studies.
Senior Teaching Assistant, Engineering Faculty International Burch University, Department of Information Technologies, Sarajevo, Bosnia and Herzegovina, 2013 – 2015 as Senior Teaching Assistant and Department Welfare Coordinator.
Courses
INF 337 Deep Learning
CSS 619 Natural Language Processing
CSS 615 Big Data Analytics
CSS 516 Research Tools and Methods
CSS 507 Data Сollection, Wrangling, Analysis and Visualization
CSS 489 Diploma preparation
Publications
1. Cankurt, S. & Subaşi A. (2012). Comparison of linear regression and neural network models forecasting tourist arrivals to Turkey. Proceeding of 3rd International Symposium on Sustainable Development, ISSD. Sarajevo, Bosnia and Herzegovina.
2. Cankurt, S. (2016). Tourism Demand Forecasting using Ensembles of Regression Trees. Proceeding of IEEE 8th International Conference on Intelligent Systems, IS’16 (pp.702-708). Sofia, Bulgaria, doi: 10.1109/IS.2016.7737388 (Scopus Index)
3. Yıldırım M., Aksu C., Cankurt S. (2016). Performance evaluation of MIMO receivers in two-way decode and forward relaying. Proceeding of 2nd International Engineering Conference on Developments in Civil & Computer Engineering Applications, IEC2016 (pp. 154-161), ISSN 2409 – 6997 (Print). Erbil, Iraq.
4. Cankurt S.&Yasin M. (2018). Modelling energy demand forecasting using neural networks with univariate time series. Proceeding of 4th International Engineering Conference on Developments in Civil & Computer Engineering Applications, IEC2018 (pp.341-349). Erbil, Iraq, DOI : 10.23918/iec2018.26
5. Subasi A., Cankurt S.(2019) Prediction of default payment of credit card clients using Data Mining Techniques, Proceeding of IEEE International Engineering Conference (IEC2019) (pp.115-120) DOI : 10.1109/IEC47844.2019.8950597 (Scopus Index)
6. MS Gaso, S Cankurt, A Subasi (2021) Electromyography Signal Classification Using Deep Learning. Proceeding of IEEE 16th International Conference on Electronics DOI : 10.1109/ICECCO53203.2021.9663803 (Scopus Index)
7. M I Gulbarga, S Cankurt and et. al. (2023) Deep Learning (DL) Dense Classifier with Long Short-Term Memory Encoder Detection and Classification against Network Attacks.
Books: Database Basics with MS Access, Zambak press, Istanbul, 2012, ISBN: 978-605-112-382-0
Research interests
Data science, Data lake, Big data, Big data analytics, Deep learning and Natural language processing
Tolegen Akhmetov
Assistant Professor
TOLEGEN AKHMETOV
tolegen.akhmetov@sdu.edu.kz
Post
Assistant Professor
Educational background
PhD in Robotics Engineering (2023), Nazarbayev University, Astana, Kazakhstan
Master of Technical Sciences (2016), Yessenov University, Aktau, Kazakhstan
Bachelor of Information Systems (2012), SDU University, Almaty, Kazakhstan
Certificates
Responsible Research Training (Curriculum Group), CITI Program, 2023
Augmented Reality and Virtual Reality for Computer Vision, Tokai University, Tokyo, 2022 (Internship and training in the laboratory of Prof. Kazuhiko Hamamoto)
Artificial Intelligence in Health Science Webinar, Universiti of Malaya, 2021
Becoming a student assistant: teaching and mentoring (online), University of Groningen,2020 Computing Teacher Education Training, London Roehampton University, London, 2018
Academic English and Teacher Training, Glasgow Caledonian University, Glasgow, 2017
Content and language integrated learning course, Global CPD, Astana, 2016
Cisco CCNA, ITE, IoT, Linux Essentials, Almaty, 2016 (Training)
Project-based learning course by J. McCarthy, Ustaz PLC, Astana, 2015
Working Experience
Assistant Professor, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Feb 2024 – present.
Computer Science and Information Technologies Teacher, Jambyl Innovation College, 2016–2019
Computer Science Teacher, Mangistau Bilim Innovation School for Gifted Boys, Aktau, 2012–2016
PHP Developer, Bilim Organization, Almaty, Kazakhstan
2011–2012 Java Developer, BeeSoft Company, Almaty, Kazakhstan, 2010–2011
Courses
CSS 410 Research tools and methods, Bs
Research interests
Industrial safety, augmented reality, artificial intelligence, computer vision, Internet of things
Publications
1. T. Akhmetov, G. D. Moger, I. Tursynbek, and H. A. Varol, “Thermal Perception Using Augmented Reality for Industrial Safety”, accepted for RAAI 2023.
2. Z. Makhataeva, T. Akhmetov and H. A. Varol, “Augmented-Reality-Based Human Memory Enhancement Using Artificial Intelligence,” in IEEE Transactions on Human-Machine Systems, vol. 53, no. 6, pp. 1048-1060, Dec. 2023, doi: 10.1109/THMS.2023.3307397.
3. T. Akhmetov and H. A. Varol, “An Augmented Reality-Based Warning System for Enhanced Safety in Industrial Settings,” IEEE Transactions on Industrial Informatics, vol. 19, no. 7, pp. 7966-7977, July 2023, doi: 10.1109/TII.2022.3216009.
4. Z. Makhataeva, T. Akhmetov, and H. A. Varol, “Augmented Reality for Cognitive Impairments,” In: Nee, A.Y.C., Ong, S.K. (eds) Springer Handbook of Augmented Reality. Springer Handbooks. pp. 765–793, Springer, Cham, 2023, doi: 10.1007/978-3-030-67822-7_31.
Books:
Informatics 11, Astana kitap, ЖУНУСОВ АЛТЫНБЕК САГИНГАЛИЕВИЧ, ШАНИЕВ ЕРЖАН БУЛАТОВИЧ, АХМЕТОВТӨЛЕГЕН ҚАДЫРБАЙҰЛЫ, КАРАБАТЫРОВ АЛТЫНБЕК АМЫРБЕКОВИЧ, АЛИМЖАНОВ ДАРХАНАМАНЖОЛОВИЧ, МЫРЗАТОВ МУРАТ ҚУАНЫШКЕРЕЙҰЛЫ
Projects
Yessenov Foundation Launchpad, Kazakhstan (2022)
Batyrkhan Omarov
Assistant Professor
BATYRKHAN OMAROV
batyrkhan.omarov@sdu.edu.kz
Post
Assistant Professor
Degree Qualifications
Doctor of Philosophy in Information and Communication Technology
Working Experience
Assistant Professor, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Aug 2021 – present.
Lecturer, International University of Information Technology August 2011-October 2020.
Assistant, Al-Farabi Kazakh National University September 2010-August 2011.
Manager, АО “Народный Банк Казахстана” October 2008-January 2010.
Courses
CSS 324 Introduction to Machine Learning, Bs
CSS 489 Diploma preparation, Bs
CSS 410 Research tools and methods, Bs
CSS 438 Medical Image Processing, Bs
CSS 502 Methods of Writing MSc Thesis, Ms
CSS 503 Advanced Programming Technologies, Ms
CSS 528 Algorithms and Competitive Programming, Ms
Mohammed Alaa Fadhil Al-hadeethi
Assistant Professor
MOHAMMED ALAA FADHIL AL-HADEETHI
m.al-hadeethi@sdu.edu.kz
Post
Assistant Professor
Degree qualifications
PhD in computer science (2023). University of Putra Malaysia, Malaysia
Master in computer science (2017). University of Putra Malaysia, Malaysia
BA (2014). University of Baghdad
Certificates
Best paper award. (2017), International conference of cloud computing, Sarawak, Malaysia.
Working Experience
Senior lecturer, Al-Turath University, Iraq, Baghdad, Jan 2023, Computer fundamentals
Lecturer, University of Putra Malaysia, Malaysia, 2021, Teacher assistant
Network optimizer, HUAWEI Malaysia, 2016-2017, Drive test optimizer (2G, 3G, and 4G)
Courses
CSS-215 – Bachelor – Introduction to algorithms
CSS-228 – Bachelor – Advanced algorithms
CSS-350 – Bachelor – Cloud computing
Research interests
Cloud Computing, Energy Consumption, Data Center, Virtual Machines, Cloud Infrastructure, Cloud Providers, Greenhouse Gas, Heuristic Algorithm, Internet Of Things, Load Balancing, Number Of Migrants, Power Consumption, Task Scheduling, Allocation Algorithm, Allocation Scheme, Ant Colony.
Publications
1. Range wise busy checking 2-way imbalanced algorithm for cloudlet allocation in cloud environment, (2018), Journal of Physics: Conference Series, IOP Publishing, 1018, 1, 12018, Alanzy, Mohammed; Latip, Rohaya; Muhammed, Abdullah
2. Load balancing and server consolidation in cloud computing environments: a meta-study, (2019), IEEE Access, IEEE, 7, , 141868-141887, Ala’Anzy, Mohammed; Othman, Mohamed; . Dynamic energy efficient resource allocation strategy for load balancing in fog environment, (2020), IEEE Access, IEEE, 8, , 199829-199839, Rehman, Anees Ur; Ahmad, Zulfiqar; Jehangiri, Ali Imran; Ala’Anzy, Mohammed Alaa; Othman, Mohamed; Umar, Arif Iqbal; Ahmad, Jamil
3. Optimising Cloud Servers Utilisation Based on Locust-Inspired Algorithm, (2020), 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, , , 23-27, Ala’anzy, Mohammed Alaa; Othman, Mohamed; Hasan, Sazlinah; Ghaleb, Safwan M; Latip, Rohaya
4. Scientific workflows management and scheduling in cloud computing: taxonomy, prospects, and challenges, (2021), IEEE Access, IEEE, 9, , 53491-53508, Ahmad, Zulfiqar; Jehangiri, Ali Imran; Ala’anzy, Mohammed Alaa; Othman, Mohamed; Latip, Rohaya; Zaman, Sardar Khaliq Uz; Umar, Arif Iqbal
5. Mapping and Consolidation of VMs Using Locust-Inspired Algorithms for Green Cloud Computing, (2022), Neural Processing Letters, Springer US New York, 54, 1, 405-421, Ala’anzy, Mohammed Alaa; Othman, Mohamed
6. Fault-tolerant and data-intensive resource scheduling and management for scientific applications in cloud computing, (2021), Sensors, MDPI, 21, 21, 7238, Ahmad, Zulfiqar; Jehangiri, Ali Imran; Ala’anzy, Mohammed Alaa; Othman, Mohamed; Umar, Arif Iqbal
7. Locust inspired algorithm for cloudlet scheduling in cloud computing environments, (2021), Sensors, MDPI, 21, 21, 7308, Ala’anzy, Mohammed Alaa; Othman, Mohamed; Hanapi, Zurina Mohd; Alrshah, Mohamed A
8. An exploration to graphics processing unit spot price prediction, (2022), Cluster Computing
Projects
Internal grant, SDU grant, 2024-2025
Scholarships & awards
“BOTA” Foundation”, Kazakh-British Technical University, Kazakhstan, 2011
JSC ”Center for International Programs”, Boston University, USA, 2018
Nazerke Sultanova
Associate Professor
NAZERKE SULTANOVA
nazerke.sultanova@sdu.edu.kz
Post
Associate Professor
Degree qualifications
PhD in computer technology and software (2021) SDU University
MSc in Mathematics (2017) Pennsylvania State University
BSc in Computer Sciences (2011) SDU University
Working Experience
Data Scientist, Beeline Kazakhstan, April 2022 – present
Associate Professor, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, May 2022 – present
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Feb 2019 – May 2022
Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Aug 2017 – Feb 2019
Mathematics teacher, Educational Center “Astana-Dostyk”, Astana, Jan 2011 – May 2017
Courses
INF 101 Information and Communication Technologies, Bs
INF 106 Information and Communications Technologies, Bs
INF 423 Statistics and Visualization for Data Analysis, Bs
CSS 322 Formal Languages and Automata Theory, Bs
CSS 328 Introduction to Data Analysis, Bs
CSS 215 Introduction to Algorithms, Bs
CSS 324 Introduction to Machine Learning, Bs
CSS 511 Mathematics for Data Science, Ms
CSS 526 Mathematics for Data Science, Ms
CSS 507 Data Сollection, Wrangling, Analysis and Visualization, Ms
CSS 671 Scientific Research Work of Master Student 3, Ms
CSS 634 Deep Learning, Ms
CSS 652 Research Methodology and Practice, Ms
Research interests
Machine Learning, Data Science, Data Analysis, NLP
Assem Talasbek
Assistant Professor
ASSEM TALASBEK
assem.talasbek@sdu.edu.kz
Post
Assistant Professor
Degree Qualifications
PhD in Computing Systems and Software (2021) SDU university (defended at Satbayev University),KZ
MSc in Information Systems (2017). Auezov University, KZ
Bs in Information Systems (2015). SDU university, KZ
Working Experience
IT specialist, NITEC, Shymkent 2016-2017, implementation and support of IT projects in government agencies
Assistant-instructor, SDU university, Kaskelen, 2017-2018, practice instructor
Lecturer, SDU university, Kaskelen, 2018-2019, conduction of lectures and learning materials
Senior Lecturer, SDU university, Kaskelen 2019-2021, conduction of lectures and learning materials
TR, SDU university, Kaskelen, 2020-2021, conduct of research, preparation of lectures and learning materials
Assistant Professor, SDU university, 2021-currently, conduct of research, preparation of lectures and learning materials
PhD academic program coordinator, SDU university, 2021-2023, development of PhD program in Computer Science Department
Courses
NF 106 Information and Communications Technologies, Bs
INF 202 Database Management Systems 1, Bs
CSS 305 Database Management Systems 2, Bs
CSS 324 Introduction to Machine Learning, Bs
CSS 330 Data wrangling and Visualization, Bs
CSS 410 Research tools and methods, Bs
CSS 507 Data Сollection, Wrangling, Analysis and Visualization, Ms
LAW 554 Basics of algorithms and programming languages, Ms
CSS 773 Scientific research work of the doctoral student 1 , Phd
CSS 973 Scientific research work of the doctoral student 9, Phd
Research interests
Data Science, IT in Education
Publications
1. Personality classification experiment by applying k-means clustering (2020) , International Journal of Emerging Technologies in Learning (iJET), 15(16) , p.162-177. Azamat Serek, Meirambek Zhaparov, Seong-Moo Yoo, Young-Kab Kim, and Geun-Ho Jeong.
2. Best practices in running it hackathons based on paragon university dataset (2020), International Journal of Emerging Technologies in Learning (iJET), 15(19), p.231-238. Azamat, Serek Meirambek Zhaparov, Seong-Moo Yoo, Assem Talasbek, Yong-Kab Kim, and Min-Woo Jin.
3. Recommendation System for Human Resource Management by the Use of Apache Spark Cluster (2023), 17th International Conference on Electronics Computer and Computation (ICECCO), p.1-4. Azamat Serek, Kamila Orynbekova, Darmen Kariboz, Gulnara Saimassay, and Andrey Bogdanchikov
4. MBTI personality classification using Apache Spark (2021), 16th International Conference on Electronics Computer and Computation (ICECCO), p. 1–4. Kamila Orynbekova, Abylay Omar, Andrey Bogdanchikov, and Shirali Kadyrov.
5. Designing a recommendation system for specialized courses for the university (2022), SDU Bulletin: Natural and Technical Sciences, 58(1), p. 5-14. Dayana Abdrakhmanovna Anefiyayeva, Nurdauler Anefiyayev 5. MBTI TYPE PREDICTION USING IMAGES FROM INSTAGRAM (2021), ВЕСТНИК КАЗАХСТАНСКО-БРИТАНСКОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, 3 (58), p. 42-45. MUSSAYEVA D., KUANDYKOVA A., ORYNBEKOVA K. and KARIBOZ D
6. Optimization of data segments and number of cores for defining popularity of kazakh words using apache spark. (2021), Engineering Journal of Satbayev University, 143(3), p. 9-42. Meraliyev М, Orynbekova K, Kariboz D, Issabek A.
Conference
1. Personality Classification by Applying k-Means Clustering, 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).Fukuoka, Japan. 2020
2. Applying decision trees on Educational Camp dataset to improve its likeability across participants, МАТЕРИАЛЫ IV международной научно-практической конференции “Информатика и прикладная математика”, посвященной 70-летнему юбилею профессоров Биярова Т.Н., Вальдемара Вуйцика и 60-летию профессора Амиргалиева. Алматы, Казахстан. 2019
3. Algorithm For Reduction Of Space Allocation Of The Boxes In The Warehouse, 2018 14th International Conference on Electronics Computer and Computation (ICECCO),Kaskelen, Kazakhstan. 2018
4. MBTI personality classification using Apache Spark, 2021 16th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan.2021
5. Разработка интеллектуального автоматизированного контроля знаний обучающихся в ВУЗе, Труды международной научно-практической конференции “Ауэзовские чтения 15: третья модернизация Казахстана-новые концепции и современные решения”, посвященной 120-летию Мухтара Омархановича Ауэзова. Шымкент, Казахстан. 2017
Cemil Turan
Assistant Professor
CEMIL TURAN
cemil.turan@sdu.edu.kz
Post
Senior Research Fellow
Degree qualifications
BCs in Electrical Engineering (1995), Yildiz Technical University, Istanbul, Turkey
MSc in Educational Mathematics, Suleyman Demirel University, Almaty, Kazakhstan
PhD in Electrical and Computer engineering, Mevlana University, Konya, Turkey
Certificates
Nostrification by Kz as Radiotechnics, Electronics and Telecommunication
Working Experience
PhD, Assoc. Professor-Senior research fellow, SDU, Almaty/KZ, 2022
PhD, Assoc. Professor-Computer Science Department Chair, SDU, Almaty/KZ, 2021-2022
PhD, Assoc. Professor-Instructor, SDU, Almaty/KZ, 2020-2021
PhD, Assoc. Prof. Graduate School Program Coordinator, SDU, Almaty/KZ, 2019-2020
PhD, Assistant Professor-Instructor, SDU, Almaty/KZ, 2016-2019
Senior Lecturer-Instructor, SDU, Almaty/KZ, 2014-2016
PhD Student-Assistant, Mevlana Rumi University, Konya/TR, 2012-2014
Lecturer-Instructor, SDU University (SDU), Almaty/KZ, 2008-2012
Physics Teacher, Kazakh-Turkish Educational Foundation, Kazakhstan (KZ), 1995-2008
Courses
2008- : Instructor of ‘Basic Circuit Theory’, ‘Digital Design’, ‘Basic Electronics’, ‘Fundamentals of Electric Circuits’, ‘Microelectronics’, ‘Circuit Technologies’, ‘Linear Algebra and Analytical Geometry’, ‘Research Tools and Methods’ for bachelors; ‘Digital Signal Processing’, ‘Research Tools and Methods in Computer Science’, ‘Writing MSc Thesis’, for MSc; ‘Research Methods and Writing Academic Paper’, ‘Writing PhD Thesis’, ‘Scientific Research Methods’, ‘Academic Writing Essentials’ for PhD.; ‘Computer Vision and Image Analysis’ for MSc.
1995-2008: Teacher of Physics for middle and high school including full content. Teacher of Mathematics and Geometry for high school (partial content), English Terminology of Science for prep classes.
Research interests
Digital Signal Processing, Adaptive Filtering, Computer Vision
Publications
International Journals:
1. Sadyk U., Baimukashev R., Bozshina A. and Turan C. “KZ-BD: Dataset of Kazakhstan banknotes with annotations”, Data in Brief (DiB), Volume 53, 2024.
2. Sadyk U., Baimukashev R. and Turan C. “State-of-the-Art Review of Deep Learning Methods in Fake Banknote Recognition Problem”, International Journal of Advanced Computer Science and Applications (IJACSA), Volume 15, No 1, pp 848-856, 2024.
3. Sadyk U., Makhambet Y., Baimukashev R. and Turan C. ” Comparative Analysis of Machine Learning Approaches in Kazakh Banknote Classification”, Bulletin of Electric Engineering and Informatics (BEEI), newly accepted, 2024.
4. Bazatbekov B., Turan C., Kadyrov S. and Aitimov A. “2D face recognition using PCA and triplet similarity embedding”, Bulletin of Electric Engineering and Informatics (BEEI), Volume 12, No 1, pp 580–586, 2023.
5. Turan C. and Salman M. S. “Zero-Attracting Function Controlled VSSLMS Algorithm with Analysis”, Circuits, Systems, and Signal Processing (CSSP), Springer, Volume 34, Issue 9, pp 3071–3080, 2015.
6. Turan C. and Amirgaliev Y. “A Robust Leaky-LMS Algorithm for Sparse System Identification” Lecture Notes in Computer Science (LNCS), Springer, pp 538-546, 2016.
7. Turan C. and Salman M. S. “A Transform Domain Function Controlled VSSLMS Algorithm for Sparse System Identification”, in World Academy of Science, Engineering and Technology International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 11(7), pp 720-724, 2017.
8. Aitimov A., Duisebekov Z., Kadyrov S. and Turan C. “PCA and Projection Based Hand Gesture Recognition”, Journal of Theoretical and Applied Information Technology (JATIT), Volume 99, No 15, pp 3801-3811, 2021.
International Conferences:
1. Ibrahim M. and Turan C. “Deep Learning in Crowd Analysis A Survey of Current Research Trends “, in 17th IEEE International Conference on Electronics Computer and Computation (ICECCO), Almaty, Kazakhstan, 2023.
2. Sadyk U., Turan C. and Baimukashev R. “Overview of Deep Learning Models for Banknote Recognition”, in 17th IEEE International Conference on Electronics Computer and Computation (ICECCO), Almaty, Kazakhstan, 2023.
3. Turan C., Orazbayeva N. and Kali V. “Kazakh Facial Phenotype”, in 17th IEEE International Conference on Electronics Computer and Computation (ICECCO), Almaty, Kazakhstan, 2023.
4. Izbassarov T. and Turan C. “Understanding Authorship Attributions of Kazakh Texts via Distance Measures”, in International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2022.
5. Amenova S., Turan C. and Zarkynbek D. “Android Malware Classification by CNN-LSTM”, in International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2022.
6. Kongratbyev K., Turan C. and Tursunmamatov B. ” Computer Vision Based Pre-processing of Microscopic Images “, in 16th IEEE International Conference on Electronics Computer and Computation (ICECCO), Almaty, Kazakhstan, 2021.
7. Kadyrov S., Turan C., Amirzhanov A. and Ozdemir C. ” Speaker Recognition from Spectrogram Images”, in IEEE Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2021.
8. Meraliyev B., Kongratbayev K., Bekbalanova M. and Turan C. ” A Computer Vision Supported Investigation on Anxiety-Success Relationship in Educational Processes”, in IEEE Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2021.
9. Turan C., Aitimov A., Kynabay B. and Aldabergen A. ” An Enhanced Face Recognition Method for Lighting Problem”, in 15th IEEE International Conference on Electronics Computer and Computation (ICECCO), Abuja, Nigeria, 2019.
Books:
Adaptive Filtering for Sparse System Identification, SDU, Kaskelen, Almaty, 2020.
Projects
Local researcher in ERASMUS project of Advanced Centre for PhD Students and Young Researchers in Informatics (ACeSYRI), 2020-2023.
PI of state grant project titled ‘Building Efficient Delivery Systems with Neural Combinatorial Optimization’ with a budget of 86M Tenge (~190K $), 2023
PI of SDU internal grant project titled ‘Machine Learning Solutions for the Same Day Delivery Services’ with a budget of 1M Tenge (~2200$), 2023
I won grant and scholarship for Science Lyceum (state) when there are only five of them throughout the country (Turkey), 1986
My student won the 3rd place of Republican Physics Olympiads among 10th classes and 2nd place of Zhautykov Asian Physics Olympiads, 2005
I won the 1st place of Physics Olympiads among physics teachers of Kazakh-Turkish High Schools (~50 teachers), 2006
I won grant and scholarship for Ph.D. in Mevlana Rumi University (Turkey), 2012
Membership of professional organisations
IEEE, 2013
Gulsim Rysbayeva
Senior Lecturer
GULSIM RYSBAYEVA
gulsim.rysbayeva@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
PhD, Cybersecurity, 2023, GUET (Guilin University of electronic technology), China
Master, Economical science, 2011, Narxoz university, Kazakhstan
Bachelor, Automation and management, AUPET, Kazakhstan
Working Experience
Senior-lecturer, SDU, Kaskelen, Kazakhstan, Sep 2023 – present
Lecturer, Guilin University of Electronic Technology, Guilin, China, April 2020 – April 2021
Expert, Student Service Center, SDU, Kaskelen, Kazakhstan, Feb 2018 – Nov 2018
Economist, Astana Energo Service, JSC, Astana, Kazakhstan, Jan 2015 – Jun 2015
Office Manager, Buro Service, LLC, Tomsk, Russian Federation, Mar 2012 – Jun 2012
Economist, Almaty Heating Networks, LLP, Almaty, Kazakhstan, 2011 – 2012
Software Engineer, Medinform, LLP, Almaty, Kazakhstan, 2009 – 2011
Courses
INF 203 – Bachelor Level – Information security
INF 344 – Bachelor Level – IT security and Risk management
Research interests
Recomendation system
Publications
1. Рысбаева, Г. Б. Халал индустрияның Қазақстандағы қазіргі хал-ахуалы / Г. Б. Рысбаева //. – 2010. – No. 6(78). – ВЕСТНИК КАЗЭУ.
2. Рысбаева Г.Б., Умурзакова А. Д., K вопросу о необходимости разработки автоматизированной системы контроля состояния асинхронного двигателя с использованием искусственных нейронных сетей, Международная научно-практическая конференция «Сейфуллинские чтения – 18: «Молодежь и наука – взгляд в будущее» – 2022.- Т.I, Ч.V. – С. 230-233
3. Rysbaeva, G. B. Overview of methods and methods for monitoring the state of an induction motor using artificial neural networks / G. B. Rysbaeva, A. D. Umurzakova // Проблемы электроэнергетики и телекоммуникаций Севера России : Сборник научных трудов III Всероссийской с международным участием научно-практической конференции, Сургут, 21–22 апреля 2022 года. – Москва: Издательство “Знание-М”, 2022. 288-296.
4. Г.Б. Рысбаева, А. Д. Умурзакова, Обзор интеллектуальных методов контроля состояния и диагностики неисправностей асинхронных машин сельскохозяйственного назначения. = Международная научно-практическая конференция «Сейфуллинские чтения – 18(2): «Наука XXI века – эпоха трансформации» – 2022 .- Т.I, Ч.IV. 172-175
5. Cheng, X., Li, N., Rysbayeva, G. et al. Influence-Aware Successive Point-of-Interest Recommendation. World Wide Web 26, 615–629 (2022). https://doi.org/10.1007/s11280-022-01055-w
6. Рысбаева, Г. Б. Обзор методов контроля состояния и диагностики асинхронных двигателей сельскохозяйственного назначения с использованием искусственных нейронных сетей / Г. Б. Рысбаева, А. Д. Умурзакова // ЭНЕРГОСТАРТ : Материалы V Международной молодежной научно-практической конференции в рамках Десятилетия науки и технологий в Российской Федерации, Кемерово, 20–22 октября 2022 года / Кемерово: Кузбасский государственный технический университет имени Т.Ф. Горбачева, 2023. – С. 314-1-314-7. 7. Gulsim Rysbayeva and Jingwei Zhang, “Sequence Recommendation based on Deep Learning” International Journal of Advanced Computer Science and Applications (IJACSA), 14(2), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140206
Dossay Oryspayev
Associate Professor
DOSSAY ORYSPAYEV
dossay.oryspayev@sdu.edu.kz
Post
Associate Professor
Degree Qualifications
PhD, Computer Engineering
Working Experience
Professor, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, May 2022 – present
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2006 – Aug 2022
Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Jan 2005 – Sep 2006
Courses
CSS 410 Research tools and methods, Bs
CSS 614 Introduction to High Performance Computing, Ms
CSS 528 Algorithms and Competitive Programming, Ms
Aigerim Bogyrbayeva
Assistant Professor
AIGERIM BOGYRBAYEVA
aigerim.bogyrbayeva@sdu.edu.kz
Post
Assistant Professor
Degree qualifications
Doctor of Philosophy Industrial Engineering
Working Experience
Assistant Professor, SDU University 2021-present
Courses
CSS 571 Scientific Research Work of Master Student 1, Ms
CSS 516 Research Tools and Methods, Ms
CSS 633 Machine Learning, Ms
MAT 524 Neural networks, Ms
CSS 634 Deep Learning, Ms
CSS 507 Data Сollection, Wrangling, Analysis and Visualization, Ms
CSS 870 Scientific research work of the doctoral student, Phd
CSS 706 Advanced Artificial Intelligence, Phd
Research interests
Reinforcement Learning
Birzhan Moldagaliyev
Lecturer
BIRZHAN MOLDAGALIYEV
birzhan.moldagaliyev@sdu.edu.kz
Post
Lecturer
Degree qualifications
PhD in Mathematics (2018). National University of Singapore
BSc in Mathematics (2014). Nanyang Technological University
Working Experience
Lecturer, SDU, Kaskelen, June 2018 – Present, Conducting lectures in Computer Science courses.
Courses
CSS 503 Advanced Programming Technologies, Ms
CSS 528 Algorithms and Competitive Programming, Ms
Research interests
Knowledge Representation
Publications
‘Randomness of formal languages via automatic martingales’. (2019) Theoretical Computer Science. vol. 782, pp. 113-128
Conference
‘Automatic Randomness Tests’. Conference on Computability and Complexity in Analysis. Daejeon, South Korea. July 2017.
Projects
National University of Singapore Research Scholarship (2014)
Nanyang Technological University College Scholarship (2010)
Zhanar Mukash
Assistant Professor
Head of the Department of Computer science
ZHANAR MUKASH
zhanar.mukash@sdu.edu.kz
Post
Assistant Professor
Head of the Department of Computer science
Degree Qualifications
Doctor of Philosophy in Nanomaterials and Nanotechnology
Working Experience
The Head of the Department, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2022 – present
Senior Lecturer, Al-Farabi Kazakh National University, Almaty, Kazakhstan, Sep 2018 – Aug 2022
Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Jan 2005 – Sep 2006
Lecturer, Satbayev University, Almaty, Kazakhstan, Aug 2017 – Jun 2018
Assistant, Satbayev University, Almaty, Sep 2013 – Jun 2015
Engeener, TOO “Institute of Physics and Technology”, Almaty, Jan 2010 – Aug 2013
Courses
CSS 152 Physics 1, Bs
CSS 111 Physics 1, Bs
CSS 112 Physics 1, Bs
CSS 410 Research tools and methods, Bs
Yedilkhan Amirgaliyev
Professor
YEDILKHAN AMIRGALIYEV
yedilkhan.amirgaliyev@sdu.edu.kz
Post
Professor
Degree qualifications
Professor of Informatics and control, 2010
Courses
CSS 609 Models and algorithms for pattern recognition, Ms
CSS 508 Software Design Technologies for Real-Time Systems, Ms
CSS 973 Scientific research work of the doctoral student 9, Phd
Larissa Kiziyeva
Senior Lecturer
LARISSA KIZIYEVA
larissa.kiziyeva@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
Candidate of Pedagogical Sciences
Working Experience
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2007 – present
The Head of the Department, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2005 – Sep 2007
Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2000 – Sep 2005
Courses
CSS 212 Digital Design, Bs
CSS 211 Electronics, Bs
Alexandr Ivanov
Senior Lecturer
Candidate of Physics and Mathematics Sciences
ALEXANDR IVANOV
alexandr.ivanov@sdu.edu.kz
Post
Senior Lecturer, Candidate of Physics and Mathematics Sciences
Degree Qualifications
Candidate of Physics-Mathematical Sciences (1988). Institute of Mathematics and Mechanics AS RK
Working Experience
Senior engineer Institute of Mathematics and Mechanics of the Academy of Sciences of the Republic of Kazakhstan , Almaty, since 1978 till 1999
Consultant at the Ministry of Science and Education of the Republic of Kazakhstan, 1999 – 2000
Specialist in GIS (computer systems) International Projects Partnership Consultants, Republic of Kazakhstan, Astana, 2000 – 2001
Senior lecturer at Almaty State University named after Abay, Almaty, 2000 -2002
Senior Lecturer at SDU University, Almaty, 2003 – 2011
Head of the Department of Computer Science and Software, SDU University, Kaskelen, 2011 – 2013
Chairman of the Methodological Committee of the Faculty of Engineering and Natural Sciences of SDU, 2013 – 2016
Senior Lecturer at SDU University, Kaskelen, 2013 – 2024
Member of the Methodological Committee of the Faculty of Engineering and Natural Sciences of SDU.
Courses
NF 214 Architecture of Computer Systems, Bs
CSS 309 Assembly, Bs
CSS 208 Computer Organization and Architecture, Bs
CSS 309 Low-level Architecture, Bs
CSS 603 Architecture of high performance systems, Ms
Research Interests
Matrix theory and its applied aspects.
Gulfarida Tulemissova
Associate Professor
GULFARIDA TULEMISSOVA
gulfarida.tulemissova@sdu.edu.kz
Post
Associate Professor
Degree qualifications
Nostrification as PhD in Computer Science
Doctor competition of a scientific degree, the candidate of technical sciences on a specialty 05.13.18 – «Mathematical modeling, numerical methods and program complexes», Institute of Automation and Information Technologies of the National Academy of Sciences of the Kyrgyz Republic
M.Sc. (Automated control systems), Kazakh s Polytechnic University, June 1978, Alma-Ata, USSR.
Certificates
Central Asia University Partnerships Program (UniCEN), Advanced Research Methodology Workshop, April 27-28, 2023, Tashkent. Uzbekistan, Certificate of AceSJRI. Course of Academy English, April 2022
Working Experience
28 years of academic experience in leading Kazakh universities
18 years of technical experience in the IT-structures of various companies in Kazakhstan
10 years of business cooperation with the companies of the Federal Republic of Germany and the Principality of Liechtenstein, Japan in the professional field of computer technology and electronics
10 years of international academic and public activity in professional field of computer technologies and electronics
Multilingual: Kazakh, Russian, English (Certificate IELTS), and communication skills in Central Asian languages.
September 2018 – present – SDU University, Faculty of Engineering and Natural Sciences, Associate professor of Department Computer Sciences
2017 September – 2018 May, Non-profit joint stock company “K. Satbayev Kazakh National Research Technical University, Ass. professor of Information defence, Military Department
2016 January – 2017 January Non-profit joint stock company “K. Satbayev Kazakh National Research Technical University, Head of the research and technological laboratory “Development and support of the distance education system”, Associate Professor of Computer and programming Engineering
2013 -2016 – Almaty Management University, Associate Professor of “Informational Technologies” Department, Staff Research Lab “IT in Education”
2009-2013 – Kazakh Academy of Labour and Social Relations, Position: Head of the Section “Computer Science and Software”
2007-2009 – Consulting company “Plankion Coach”, Position: IT – manager, coaching manager
2004 – 2006 – TOO “Mercury”, Almaty, Position: Head of the Department of Information Technology Holding.
Responsibilities: coordination and control of the department, information projects, contracts, quality of the documentation provided. Implementation of technical solutions, preparation of specifications, cost efficiency of automation projects, services, installation, working with design and estimate documentation.
Administration of electronic document management in corporations, preparation of documentation for the implementation of ISO 9001 quality system, IT – audit of the central office and subsidiaries of the holding company, controlling the activities of IT – services holding company. Analysis of Information Systems. Development of normative documents, regulations, job descriptions for IT – department.
Purchase of software and hardware for the holding. Drafting and control IT – budget holding. Work on standards ITIL.
2003 – 2004 – Regional Office for Central Asia, the company «HITACHI», Japan, Position: Manager with corporate customers.
Responsibilities: conclusion and management of contracts with corporate customers for the supply of computer technology, organization of presentations the company’s products in Kazakhstan and Kyrgyzstan, preparation and participation in exhibitions, consulting, advertising, marketing, market for the company.
2001 – 2003 – Regional Office for Central Asia, the international provider company «I-Sat AG», Liechtenstein, Position: Regional Manager.
Responsibilities: conclusion and management of contracts with corporate customers. Development of projects for Kazakhstan wireless Internet users. Advertising and consulting users on the wireless Internet. Advertising Equipment Group Nortell DASA – Germany.
Courses
CSS 345 Advanced computer architecture, Bs
CSS 345 FPGA programming, Bs
CSS 410 Research tools and methods, Bs
Research Interests
Internet of Things, FPGA programming, Embedded systems, Artificial Intelligence, Digital Twin.
Publications
1. Tulemissova G., Dauren Rakhmetolla, Conceptual approach to the formation of the digital twin of the Destination Earth (first glance), ICECCO 2023 (The seventeenth International Conference on Electronics Computer and Computation) 1-2 june 2023, SDU- Scopus
2. L. Atymtayeva, M. Kanatov, A. M. A Musleh, Tulemissova G., Fast Facial Expression Recognition System: Selection of Models, International Journal, Applied Mathematics and Information Sciences, Scopus N.17, No. 2, p.375-383, 2023.
3. Altynbekova A., Digital Design: Textbook, Almaty, SDU University, ISBN 978-601-7647-18-6, 2022, 267 p. 4. Gulfarida Tulemissova, Olimzhon Baimuratov, Review of electronic industry in Kazakhstan: conditions and opportunities, International Conference on Electronics Computer and Computation, ICECCO, SDU University, November 25-26, 2021, Kaskelen, Kazakhstan, Scopus
5. Gulfarida Tulemissova, Olimzhon Baimuratov, Using the FPGA platform to protect the multi-agent wireless pipeline sensor network, Proceedings of the 19th European Conference on Cyber Warfare and Security, ECCWS, University of Chester, UK, 25-26 June, 2020. Scopus
6. Lyazzat Atymtayeva, Gulfarida Tulemissova, Serik Nurmyshev. An Intelligent Approach and Data Management in Active Security Auditing Processes for Web Based Applications, Proceedings of the Seventh International Symposium on Business Modeling and Software Design, Barcelona, Spain , 3-5 July 2017, p.136. – Springer
7. Lyazzat Atymtayeva, Gulfarida Tulemissova, Serik Nurmyshev and Ardakbek Kungaliyev, Some Issues in the Re-Engineering of Business Processes and Models by Using Intelligent Security Tools, Proceedings of the Seventh International Symposium on Business Modeling and Software Design, Barcelona, Spain , 3-5 July 2017, p. 199. Scopus.
8. Gulfarida Tulemissova,”Case Method for the Conditions of Development of Startups Analysis in the IT Industry in Kazakhstan”, ICMLG 2017, Proceedings of the 5th International Conference on Management Leadership and Governance, University of Witwatersrand, Johannesburg, South Africa, 16-17 March 2017, p.443-452. Scopus.
9. Tulemissova Gulfarida, “Sharing of teaching staff information via QR-code usage”, Proceedings of the 10th European Conference on Information Systems Management (ECISM 2016), University of Évora, Portugal, 8-9 September 2016, p.195-203. Scopus.
10. Tulemissova Gulfarida, The Impact of the IoT and IoE Technologies on Changes of Knowledge Management Strategy, Proceedings of the 8th European Conference on Intellectual Capital, Ca’ Foscari University of Venice, Italy, 12 – 13 May 2016, V.1 ,p.317-325. Scopus.
11. Tulemissova Gulfarida,” Internet of things – a new paradigm of development and use of information technology for Kazakhstan”, Proceedings of the of the ІІ Іnternational scientific – practical conference «INFORMATION AND TELECOMMUNICATION TECHNOLOGIES: EDUCATION, SCIENCE AND PRACTICE», Almaty, Kazakhstan, December 3-4, 2015, V.2., p.482-488.
12. Tulemissova Gulfarida, Massanova Laura,” Mathematical thinking as a basis for the formation of intellectual capital analyst”, Proceedings of the 12th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, IKI-SEA of Bangkok University, Thailand, 5-6 November 2015,p.289-297. Scopus.
13. Tulemissova Gulfarida,” Mobile learning as a condition for the evolution of competencies in the alternative periods of study”, Proceedings of the 14th European Conference on e-Learning, University of Hertfordshire, Hatfield, UK, 29-30 October 2015,p.611-620. Scopus.
14. Gulfarida Tulemissova, Gulzada Serzhan, Svetlana Iskakova and Ermek Ramazanov, Evaluation Criteria of Experts for Knowledge Management System of a Business School, 15th European Conference on Knowledge Management. ECKM 2014. The Santarém School of Management and Technology Polytechnic Institute of Santarém, Santarém, Portugal, 4-5 September, 2014.Volume 3, p. 879-884. Scopus.
15. Tulemissova Gulfarida, “Mathematical model of service quality performance’s computing of multiservice network” [Text] / G.Tulemissova, // Proceedings of the International Forum “The 2014 International Conference on Internet Computing and Big Data» – Las Vegas, USA, www. world-academy-of-science.org . July 21-24, 2014, C.138-144.Web of Science.
Conference
1. Lyazzat Atymtayeva, Gulfarida Tulemissova, Serik Nurmyshev. An Intelligent Approach and Data Management in Active Security Auditing Processes for Web Based Applications, Proceedings of the Seventh International Symposium on Business Modeling and Software Design, Barcelona, Spain , 3-5 July 2017, p.136. – Springer
2. Lyazzat Atymtayeva, Gulfarida Tulemissova, Serik Nurmyshev and Ardakbek Kungaliyev, Some Issues in the Re-Engineering of Business Processes and Models by Using Intelligent Security Tools, Proceedings of the Seventh International Symposium on Business Modeling and Software Design, Barcelona, Spain , 3-5 July 2017, p. 199. Scopus
3. Gulfarida Tulemissova,”Case Method for the Conditions of Development of Startups Analysis in the IT Industry in Kazakhstan”, ICMLG 2017, Proceedings of the 5th International Conference on Management Leadership and Governance, University of Witwatersrand, Johannesburg, South Africa, 16-17 March 2017, p.443-452.- Scopus
4. Tulemissova Gulfarida, Proceedings of the 10th European Conference on Information Systems Management (ECISM 2016), Evora, Portugal, 8 – 9 September 2016, V.1 ,p.156-164. – Scopus
5. Tulemissova Gulfarida, The Impact of the IoT and IoE Technologies on Changes of, Proceedings of the 8th European Conference on Intellectual Capital, Ca’ Foscari University of Venice, Italy, 12 – 13 May 2016, V.1 ,p.317-325.– Scopus
6. Tulemissova Gulfarida,” Mobile learning as a condition for the evolution of competencies in the alternative periods of study”, Proceedings of the 14th European Conference on e-Learning, University of Hertfordshire, Hatfield, UK, 29-30 October 2015,p.611-620.
7. Tulemissova Gulfarida, Massanova Laura,” Mathematical thinking as a basis for the formation of intellectual capital analyst”, Proceedings of the 12th International Conference on Intellectual Capital, Knowledge Management and Organizational Learning, IKI-SEA of Bangkok University, Thailand, 5-6 November 2015,p.289-297.
8. Gulffarida Tulemissova, Gulzada Serzhan, Svetlana Iskakova and Ermek Ramazanov, Evaluation Criteria of Experts for Knowledge Management System of a Business School, 15th European Conference on Knowledge Management. ECKM 2014. The Santarém School of Management and Technology Polytechnic Institute of Santarém, Santarém, Portugal, 4-5 September, 2014.Volume 3, p. 879-884.
9. Tulemissova Gulfarida, “Sharing of teaching staff information via QR-code usage”, Proceedings of the 10th European Conference on Information Systems Management (ECISM 2016), University of Évora, Portugal, 8-9 September 2016, p.195-203.
10. Tulemissova Gulfarida, The Impact of the IoT and IoE Technologies on Changes of Knowledge Management Strategy, Proceedings of the 8th European Conference on Intellectual Capital, Ca’ Foscari University of Venice, Italy, 12 – 13 May 2016, V.1 ,p.317-325.
11. Tulemissova Gulfarida,” Internet of things – a new paradigm of development and use of information technology for Kazakhstan”, Proceedings of the of the ІІ Іnternational scientific – practical conference «INFORMATION AND TELECOMMUNICATION TECHNOLOGIES: EDUCATION, SCIENCE AND PRACTICE», Almaty, Kazakhstan, December 3-4, 2015, V.2., p.482-488.
12. Tulemissova Gulfarida, “Mathematical model of service quality performance’s computing of multiservice network” [Text] / G.Tulemissova, // Proceedings of the International Forum “The 2014 International Conference on Internet Computing and Big Data» – Las Vegas, USA, www. world-academy-of-science. org. July 21-24, 2014, C.138-144- Web of Science
13. Tulemissova Gulfarida, “The development of IoT space in Kazakhstan”, Proceedings of the CSCI’15: The 2015 International Conference on Computational Science and Computational Intelligence, December 7-9, 2015, Las Vegas, USA.V.1,p.311-313.
14. Tulemissova, G. Algorithm for local control of the flow volume [Text] / Tulemissova G., Kalimoldaev M., // Journal “Bulletin of the Kazakh National Pedagogical University named after Abai, № 2. – Almaty: NEC, 2013. – S. 112-116.
15. Tulemissova, G. Mathematical model of adaptive routing information flow networks for integrated Services [Text] / Collection “Science News Kazakhstan», № 2.-Almaty: 2013 – S.67-73.
16. Tulemissova, G. The algorithm limits the flow volume in the ISDN [Text] / Tulemissova G. // Collection “Science News Kazakhstan», № 2. – Almaty .: 2013. – S. 34-39
17. G. Tulemissova A mathematical model for calculating the parameters of quality of service multiservice network // Journal “Science and New Technologies», № 1. -Bishkek: “Scientific journals and children’s fiction”, 2013. – S.51-54.
18. Tulemissova, G. Method of optimal allocation of channel resources multiservice network // Journal “Science and New Technologies», № 1 – Bishkek: “Scientific journals and children’s fiction”, 2013. – S.44-47.
19. Tulemissova, G. Multiservice network management problems [Text] // Materials Science Forum, dedicated to the 75th anniversary of professor, Biyashev R. G. /. – Almaty: NC STI March 29, 2013.- S.42-45.
20. Tulemissova, G. Algorithm for calculating the parameters of quality of service digital network Integrated Services // Materials Science Forum, dedicated to the 75th anniversary of Prof. academician MAIN Biyasheva R. – Almaty: NC STI, March 29, 2013. – P. 38-42.
21. Tulemissova, G. Multiservice networks or converged communications // The Role of Innovation in the international transfer of knowledge // Collection of articles IX International Scientific and Practical Conference MAB “Business and Education: development vector”.- Almaty: MAB, February 8, 2013. – S.145-147.
22. Tulemissova, G. Mathematical model of calculation parameters for asynchronous data transmission network with bypass lines // Journal “Proceedings of Universities», №5. – Bishkek: “Scientific journals and children’s fiction”, 2012. – p. 14-18
23. Tulemissova, G. Some mathematical representation of Erlang formula // Journal “Proceedings of Universities», №5. – Bishkek: “Scientific journals and children’s fiction,” 2012. – S.3-5.
24. Tulemissova, G. A mathematical model of computation characteristics for optimal user experience multiservice network// Herald Suleyman Demirel University, № 4 (24). – Almaty: 2012.- S.83-87.
25. Tulemissova, G. A mathematical model to compute quality parameters, Multiservice communication network in Kazakhstan [Text]/ Proceedings of the international scientific – practical conference “Actual problems of computer science and management processes,70- years. Hon. Scientist of the Republic of Kazakhstan, Acad. Academy HS RK, – In 2 parts. Almaty Institute of Informatics and Control, November 15-16, 2012. – S.346-348.
Books
Tulemissova G. , Altynbekova A., Digital Design: Textbook, Almaty, SDU University, ISBN 978-601-7647-18-6, 2022, 267 p.
Projects
nstructor excellence award in recognition of advanced level instructor excellence and lasting contribution to the Cisco networking academy program, 2013, USA, Academy of Cisco company. Instructor years of service award for 5 years of active participation and service in the Cisco networking academy, 2014, USA, Academy of Cisco company.
Membership of professional organizations
2015- 2018 – member of the “Internet of Things” committee of the international non-profit association of the Institute of Electrical and Electronics Engineers – IEEE (Institute of Electrical and Electronics Engineers).
2016 – 2018 -member of the British Academy of Engineering
2019 – IEEE Sensors Council
Ali Baigelenov
Senior Lecturer
ALI BAIGELENOV
ali.baigelenov@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
PhD Candidate in Technology (2024). Purdue University, USA
MS in Computer Graphics Technology (2017). Purdue University, USA
BS in Computer Graphics Technology (2015). Purdue University, USA
Working Experience
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Feb 2024 – present
Courses
INF 232 Web programming: back end, Bs
CSS 206 Database Management Systems 1, Bs
CSS 489 Diploma preparation, Bs
Research Interests
Human-computer interaction, information visualization, cognition, design, education
Publications
1. Parsons, P. C., Shukla, P. C., Baigelenov, A., & Gray, C. M. (2023). Developing Framing Judgment Ability: Student Perceptions from a Graduate UX Design Program. In Proceedings of the 5th Annual Symposium on HCI Education (pp. 23-32).
2. Parsons, P., Gray, C. M., Baigelenov, A., & Carr, I. (2020). Design judgment in data visualization practice. arXiv preprint arXiv:2009.02628.
3. Parsons, P., Baigelenov, A., Hung, Y. H., & Schrank, C. (2020). What Design Methods do DataVis Practitioners Know and Use?. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-8).
4. Parsons, P., Hung, Y. H., & Baigelenov, A. (2018). Toward an Analysis of Practitioner-Oriented Resources for Visualization Design. In IEEE VIS ’18: Proceedings of the 2018 IEEE Conference on Information Visualization, Poster Abstracts, pp. 2
5. Baigelenov, A., & Parsons, P. (2018). Interactivity Factors in Visualization-Based Exploratory Search.
6. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA ’18). ACM, New York, NY, USA, Paper LBW009, 6 pages. DOI: https://doi.org/10.1145/3170427.3188558 (Acceptance rate: 39.8%)
7. Saenz, M., Baigelenov, A., Hung, Y. H., & Parsons, P. (2017). Reexamining the cognitive utility of 3D visualizations using augmented reality holograms. In Workshop on Immersive Analytics: Exploring Future Interaction and Visualization Technologies for Data Analytics (Immersive 2017), pp. 5.
8. Baigelenov, A., Saenz, M., Hung, Y. H., & Parsons, P. (2017). Toward an Understanding of Observational Advantages in Information Visualization. In IEEE VIS ’17: Proceedings of the 2017 IEEE Conference on Information Visualization, Poster Abstracts, pp. 2.
Projects
Sriver Award | USA, August 2018
Daniel and Martina Lewis Graduate Award | USA, August 2018
Kazakhstan’s Governmental Scholarship “Bolashak” | Kazakhstan, January 2010
Akerke Alseitova
Senior Lecturer
AKERKE ALSEITOVA
akerke.alseitova@sdu.edu.kz
Post
Senior Lecturer
Degree Qualifications
Candidate of PhD in Computer Sciences, SDU University, KZ
MSc in Computing systems and Software (2013), SDU University, KZ
BS in Information Systems(2011), SDU University, KZ
Working Experience
Senior Lecturer in SDU University, Kaskelen, 2019 – present
Computer Sciences Instructor in NIS, Almaty, 2018 – 2019
Computer science teacher and alumni coordinator in BIL, Taraz, 2013 – 2018
Computer science teacher and alumni coordinator in BIL, Shymkent, 2012 – 2013
Teacher of computer science in International School of Nurorda, Oskemen, 2011 – 2012
Courses
CSS 105 Fundamentals of Programming, Bs
CSS 108 Programming Technologies and Educational Practice, Bs
Research Interests
IT Education, Personalization, Gamification, Data Mining in Education
Publications
1. ‘What Forces Us To Gamify The Programming In Higher Education: A Literature Review'(2023). 2023 17th International Conference on Electronics Computer and Computation (ICECCO).Lazzat Tolegen.
Projects
Internal grant of SDU University, 2021
Kamila Orynbekova
Senior Lecturer
KAMILA ORYNBEKOVA
kamila.orynbekova@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
Candidate PhD in Computing Systems and Software, SDU University, KZ, present
MS in Computing Systems and Software, SDU University, KZ , 2017
BS in Computing Systems and Software, SDU University, KZ, 2013
Working Experience
Senior Lecturer, SDU University, Kaskelen, 2019 – present
Lecturer, SDU University, Kaskelen, 2017 – 2019
Teacher-assistant, SDU University, Kaskelen, 2015 – 2017
Courses
CSS 615 Big Data Analytics, Ms
CSS 439 Distributed Big Data Systems, Bs
Research Interests
Big Data Distributed Systems
Publications
1. MapReduce Solutions Classification by Their Implementation. // International Journal of Engineering Pedagogy (iJEP), 13(5) 2023, pp. 58–71
2. Defining Semantically Close Words of Kazakh Language with Distributed System Apache Spark. // Big Data and Cognitive Computing 7.4 (2023): 160.
3. Recommendation System for Human Resource Management by the Use of Apache Spark Cluster. // 2023 17th International Conference on Electronics Computer and Computation (ICECCO). IEEE, 2023.
4. MBTI personality classification using Apache Spark. // 2021 16th International Conference on Electronics Computer and Computation (ICECCO). IEEE, 2021.
5. Optimization of data segments and number of cores for defining popularity of Kazakh words using Apache Spark. // Engineering Journal of Satbayev University 143.3 (2021): 39-42.
6. Computing feature vectors of students for face recognition using Apache Spark. // 2019 15th International Conference on Electronics, Computer and Computation (ICECCO). IEEE, 2019.
Aliya Zhunis
Senior Lecturer
ALIYA ZHUNIS
aliya.zhunis@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
MA of Electronics and Communication Engineering, Kocaeli University, Turkey, 2019
BA of Radioengineering, Electronics and Telecommunications, International Information Technology University, KZ, 2
Working Experience
Lecturer at Computer Sciences Department, SDU University, Kaskelen, KZ, 2020 – present
Internalization coordinator of Engineering and Natural Sciences Faculty, SDU University, Kaskelen, KZ, 2021 – 2023
Certificates
Certified Peer Reviewer Course; Researcher Academy; 23 February 2024; 4 hours
Wintered 2024: Transform Teaching, Inspire Learning; SDU University; 9-23 January 2024; 72 hours
Reviewer of papers at 16th ICECCO Conference; SDU University; 25-26 November 2021
Participated in Organization of 16th ICECCO Conference; SDU University; 25-26 November 2021
Courses
NF 106 Information and Communications Technologies (CS and IS faculty), Bs
INF 313 Computer Networks 1, Bs
INF 440 Digital Image Processing, Bs
INF 425 Wireless networks, Bs
CSS 230 Digital Design, Bs
CSS 250 Electronics, Bs
MAT 122 Algorithms and Programming 1, Bs
MDE 173 Information and Communications Technologies, Bs
Research Interests
Aftificial Intelligence
Publications
1. Epileptic Seizure Prediction in EEG Signals using EMD and DWT (2019), IEEE, 1-4, M. Bekbalanova and Z. Duisebekov
Binara Imankulova
Senior Lecturer
BINARA IMANKULOVA
binara.imankulova@sdu.edu.kz
Post
Senior Lecturer
Degree Qualifications
MS in Electronics and nanoelectronics. Tomsk State University of Control Systems and Radioelectronics, RF
BS in Radiotechnics, telecommunication and electronics. Almaty University of Power Engineering and Telecommunications, KZ
Certificates
IoT Fundamentals: IoT Security, Cisco, 2019
CCNA Cybersecurity Operations, Cisco, 2019
Linux for Developers, Coursera, 2022
Robotic Process Automation, IBM, 2023
Blockchain engineering training, Blockchain center, 72 hours, 2023
Working Experience
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Aug 2023 – present
Scientific Intern, Hochschule Schmalkalden, Germany Senior Lecturer, IIT University, Almaty, Kazakhstan, Aug 2018 – present
IT Project Manager, Documentolog, Almaty, KZ Lecturer, Satbayev University, Almaty, Kazakhstan, Aug 2017 – May 2023
Project Manager, Green Rise, Almaty, KZ
IPTV Engineer, Eltex Alatau, Almaty, KZ
Junior Researcher (Intern), Crystal T., Tomsk, Russia
Courses
CSS 252 Electronics, Bs
CSS 254 Digital Design, Bs
INF 106 ICT, Bs
Research Interests
Internet of Things, Robotics
Publications
1. B.B. Imankulova. Transmission, storage and preprocessing of data received from sensors using lora technology. (2024) AUPET Bulletin. 1(64), 16-24. Co-authors: L.A. Kozina, N.T. Duzbayev, S.T. Amanzholova. https://doi.org/10.51775/2790-0886_2024_64_1_16
2. Imankulova B. Development And Research of A Two-Contour Solar System In The Lorawan Network. (2023). WSEAS Transactions on Heat and Mass Transfer. 18 (5). 51-58 pp. Co-authors: Kunelbayev M., Sundetov T., Tyulepberdinova G., Issabayeva S., Sagimbayeva L..
3. B. Imankulova. Data security, modeling and visualization of data from IoT devices. (2022) Scientific Journal of Astana IT University. 10, Co-authors: S. Alpar, S. Amanzholova. DOI: 10.37943/ACWT2121
4. Imankulova B.B.. Software and technical aspects of data collection from end nodes: problems and prospects. (2020) AUPET Bulletin. 4(51), 164-172. doi: 10.51775/1999-9801_2020_51_4_164. Co-authors: Amanzholova S.T., Duisebekova K.S.
5. Imankulova B.B. Research of data transmission problems in automated systems of commercial accounting energy resources. (2019) Herald of the Kazakh-British technical university. 16(3), 249-252.
Projects
Grant funding for scientific research on the topic: “Software and hardware complex for analysis and monitoring of climatic and ecological changes in the environment” AR05134597, 2020
Assem Kaliyeva
Senior Lecturer
ASSEM KALIYEVA
assem.kaliyeva@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
PhD Physics-Pedagogy, Kazakh National Pedagogical University named after Abai, KZ , 2019
MA Physics, D.Serikbayev East Kazakhstan State Technical University, KZ, 2005
BA Engineer-Physics, S.Amanzholova East Kazakhstan State University, KZ, 2003
Certificates
National conference’ Astana – 29 Mart 2019.
Working Experience
Physics teacher, D.Serikbayev University, Oskemen, 2003-2005
Senior Lecturer, S.Amanzholov University, Oskepen, 2005-2012
Senior Lecturer, SDU University, Kaskelen, 2012-present
Courses
CSS 112 – Bachelor level – Physics
CSS 152 – Bachelor level – Physics 1
Research Interests
Physics
Publications
1. University Improving the Problem of In-depth learning in the Electrodynamics Department // Improving the problem of in-depth training of the Department of electrodynamics of the University, Abai Kazakh National Pedagogical University. “Messenger”. -2018. -№1(61). P.181-186.
2. Methodology for solving problems of electrodynamics using vectors in the course of physics// Methodology for solving problems in electrodynamics using vectors in the course of physics, Abai Kazakh National Pedagogical University. “Messenger”. -2023.- №2(402). Pp. 134-147
3. Computer-assisted methods of physical calculations at a higher education institution // Computer methods of physical experiments in higher educational institutions, “Bulletin of the Kazakh Academy of transport and Communications named after M. Tynyshbayev” scientific journal -2023. – December.
4. The Development of Education Methods of Electricity and Magnetism Discipline in Higher Educational Institutions / / electricity and magnetism in Higher Education development of educational methods of the discipline. Conference ICECCO. -2018. -P. 14. Conference ICECCO. -2018. -P. 14. ISBN 978-1-7281-0133-0
5. General characteristics of teaching methods in electrodynamics // General solutions of teaching methods of the discipline electrodynamics. “URALIntellects.r.XVI International materials of the scientific and practical conference. – Prague, 2018.”ASP-Inter”. – Tyumen, Russia. P.65-67.
Conference
National conference’ Astana – 29 Mart 2019
Books
Physics 1(2016), Kaskelen, SDU, Guverdzhin S.
Physics 2(2017), Kaskelen, SDU
Membership of professional organisation
EMCD 2015-2017
Perizat Yessenova
Lecturer
PERIZAT YESSENOVA
perizat.yessenova@sdu.edu.kz
Post
Lecturer
Degree qualifications
MA in Informatics, AIU, KZ, 2019
BA in Computer Science, SDU University, KZ, 2013
Working Experience
Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2021 – present.
Courses
CSS 206 Database Management Systems, Bs
CSS 489 Diploma Preparation, Bs MDE 173
ICT, Bs
Zhumaniyaz Mamatnabiyev
Senior Lecturer
ZHUMANIYAZ MAMATNABIYEV
zhumaniyaz.mamatnabiyev@sdu.edu.kz
Post
Senior Lecturer
Degree Qualifications
MSc in Computing Systems and Software, SDU University, Kaskelen, Kazakhstan, 2019
BSc in Computing Systems and Software, SDU University, Kaskelen, Kazakhstan, 2017
Working Experience
Teacher, Al-Farabi High School for Gifted Children, Almalybak, Kazakhstan, 2016-2019, Robotics and Programming Teacher
Assistant-instructor, Department of Computer Sciences, SDU University, Kaskelen, Kazakhstan, 2017-2019, Advisor
Senior Research Assistant, Department of Computer Sciences, SDU University, Kaskelen, Kazakhstan, 2021-2023
Senior Lecturer, Department of Computer Sciences, SDU University, Kaskelen, Kazakhstan, 2020-now, Hardware and Operating Systems Track Leader
Courses
CSS 356 Introduction to IoT, Bs
CSS 524 Networking in IoT, Ms
CSS 641 IoT in Industry, Ms
CSS 372 IoT Data Management and Analytics, Bs
CSS 215 Introduction to algorithms, Bs
CSS 220 Advanced algorithms, Bs
CSS 514 Advanced Digital Design, Ms
CSS 410 Research Tools and Methods, Bs
INF 231 Web Programming: Front End, Bs
Research Interests
Educational robots, IoT Application in education
Publications
1. A Holistic Approach to Use Educational Robots for Supporting Computer Science Courses. Computers, 2024, 13(4), 102.
2. Design and Implementation of an Open-Source Educational Robot for Hands-On Learning Experiences in IoT. Paper presented at 2023 17th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan, 2023, pp. 1-4, doi: 10.1109/ICECCO58239.2023.10146599.
3. Animal Tracking System based on GPS sensor and LPWAN. Paper presented at 2022 International Conference on Smart Information Systems and Technologies (SIST), 2022, pp. 1-4, doi: 10.1109/SIST54437.2022.9945724.
4. Development of Attendance Monitoring System using IoT Technologies. Paper presented at the 16th International Conference on Electronics Computer and Computation (ICECCO 2021), 2021, pp. 1-6, doi: 10.1109/ICECCO53203.2021.9663827.
5. Application of Visible Light Communication (VLC) in various areas: Survey. SDU Bulletin: Natural and Technical Sciences, [S.l.], v. 55, n. 2, p. 11-16, June 2021. ISSN 2709-2631. doi:10.47344/sdubnts.v55i2.539.
6.Comparative Analysis of Sorting Algorithms Used in Competitive Programming. SDU Bulletin: Natural and Technical Sciences, [S.l.], v. 55, n. 2, p. 64-70, June 2021. ISSN 2709-2631. doi:10.47344/sdubnts.v55i2.546.
7. Project-Based Curriculum for Internet of Things Online Course. Suleyman Demirel University Bulletin: Pedagogy and Teaching Methods, [S.l.], v. 55, n. 2, p. 20-25, June 2021. ISSN 2709-264X. Doi: 10.47344/sdu bulletin.v55i2.562.
8. Heart Rate Sensor and Its Applications: Review. Paper presented at the International Conference on Digital World and Engineering Education (ICDWEE), 2021. RFID Technology as a Part of Monitoring Systems. SDU Bulletin: Natural and Technical Sciences. 2020/1 (52), pp. 100-108, ISSN 2709-2631
9. Survey of IoT Hardware Platforms Used for Monitoring Systems. Vestnik KazNRTU, 2019, no. 6 (136), pp. 273-279, ISSN: 1680-9211
10. Development of House Automation System Controlled using IoT Technologies (with R. Suliyev). Paper presented at the 14th International Conference on Electronics, Computer and Computation, ICECCO 2018, pp. 206-212. doi:10.1109/ICECCO.2018.8634734.
Conference
‘Investigating the Effectiveness of Robotics in Computer Science Education.’ ERASMUS+ ACeSYRI Workshop under the Int. Conf. on Information and Digital Technologies at the University of Zilina, Zilina, Slovakia, June 20-22, 2023
Meraryslan Meraliyev
Senior Lecturer
MERARYSLAN MERALIYEV
meraryslan.meraliyev@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
PhD in Computer systems and software, SDU university, KZ, current
MA in Computer systems and software, SDU University, KZ, 2017
BA Information Systems, SDU University, Kz, 2015
Working Experience
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Nov 2019 – present.
Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Aug 2017 – Nov 2019.
Courses
INF 337 Deep Learning, Bs
CSS 324 Introduction to Machine Learning, Bs
CSS 399 Applied AI, Bs
CSS 633 Machine Learning, Ms
INF 369 Data visualization and storytelling, Bs
INF 415 Leadership in IT, Bs
CSS 105 Fundamentals of Programming, Bs
CSS 225 Web programming fundamentals, Bs
CSS 410 Research tools and methods, Bs
CSS 302 Software Engineering, Bs
Research Interests
Deep Learning, AI, Reinforcement Learning, Vehicle routing problem
Publications
1. Machine learning to solve vehicle routing problems: A survey (2024) A Bogyrbayeva, M Meraliyev, T Mustakhov, B Dauletbayev IEEE Transactions on Intelligent Transportation Systems
2. Face extraction and recognition from public images using HIPI A Bogdanchikov, D Kariboz, M Meraliyev 14th International Conference on Electronics Computer and Computation, ICECCO 2018, 2018, 8634718
3. Algorithm for Reduction of Space Allocation of the Boxes in the Warehouse K Orynbekova, R Suliyev, A Issabek, M Meraliyev, A Talasbek, D Kariboz, 14th International Conference on Electronics Computer and Computation, ICECCO 2018, 2018, 8634695
Conference
‘Choosing Best Machine Learning Algorithms for Breast Cancer Prediction.’ (2017), Academics World 64th International Conference, Putrajaya, Malaysia, 4th-5th May 2017, p11-16, M.Zhaparov, K. Artykbayev
Projects
Research grant funded. DAAD grant for I2P2 project
Taukekhan Mustakhov
Senior Lecturer
TAUKEKHAN MUSTAKHOV
taukekhan.mustakhov@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
MS in Computer Science, SDU university, KZ, 2023
BS in Information Systems, SDU university, KZ, 2021
Working Experience
Senior Lecturer, SDU, Kaskelen, Almaty, Sep 2023 – Present
Assistant Instructor, SDU, Kaskelen, Almaty, Sep 2021 – Aug 2023
Software Engineer, DAR, Almaty, KZ, Sep 2020 – Aug 2021
Courses
CSS 108 Programming Technologies and Educational Practice, BS
CSS 215 Introduction to Algorithms, BS
CSS 220 Advanced Algorithms, BS
CSS 417 Linux Administration, BS
INF 368 The Go programming language, BS
Research Interests
Machine learning, Reinforcement learning, Vechile Routing Problems
Publications
1. Machine Learning to Solve Vehicle Routing Problems: A Survey. 2024 IEEE Transactions on Intelligent Transportation Systems. pages 1 – 19. Bogyrbayeva, A., Meraliyev, M. and Dauletbayev, B.
Yelnur Mutaliyev
Senior Lecturer
YELNUR MUTALIYEV
yelnur.mutaliyev@sdu.edu.kz
Post
Senior Lecturer
Degree Qualifications
MS in Computer Science, 2023
Working Experience
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2023 – present.
Assistant-Instructor, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Aug 2021 – Sep 2023.
Courses
CSS 105 Fundamentals of Programming, Bs
CSS 108 Programming Technologies and Educational Practice, Bs
INF 106 Information and Communications Technologies, Bs
Sadyk Ualikhan
Senior Lecturer
SADYK UALIKHAN
sadyk.ualikhan@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
PhD in Computer Science, SDU University, Kaskelen, Kazakhstan, 2022-2025
PhD in Data Science, Shanghai Jiao Tong University,Shanghai, China, 2021-2023
MSc in Computer Science, SDU University, Kaskelen, Kazakhstan, 2019-2021
BSc in Radioengineering, Electronics and Telecommunications, Karaganda State University,Karaganda, Kazakhstan
Working Experience
Senior Lecturer, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2022 – present.
Assistant-Instructor, Faculty of Engineering and Natural Sciences, SDU University, Almaty, Kazakhstan, Sep 2019 – Sep 2022.
Courses
CSS 152 Physics 1, Bs
CSS 112 Physics 1, Bs
CSS 105 Fundamentals of Programming, Bs
CSS 108 Programming Technologies and Educational Practice, Bs
CSS 410 Research tools and methods, Bs
CSS 489 Diploma preparation, Bs
MAT 370 Methods of Scientific research, Bs
INF 405 Personal Development in Computer Science, Bs
Research Interests
Data Science, Machine Learning, Deep Learning, Computer Vision
Publications
1. Sadyk, U., Turan, C., & Baimukashev, R. (2023, June). Overview of Deep Learning Models for Banknote Recognition. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-5). IEEE.
2. Sadyk, U., Baimukashev, R., Bozshina, A., & Turan, C. KZ-BD: Dataset of Kazakhstan Banknotes with Annotations. Available at SSRN 4606449.
3. Shaikym, A., Zhalgassova, Z., & Sadyk, U. (2023, June). Design and Evaluation of a Personalized Job Recommendation System for Computer Science Students Using Hybrid Approach. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-7). IEEE.
4. Zhalgassova, Z., Shaikym, A., Sadyk, U., Kutzhan, A., Amirkumar, M., & Assangali, B. (2023, June). MBTI-based recommendation system for extracurricular activities for high school students. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
5. Kutzhan, A., Shaikym, A., & Sadyk, U. (2023, June). A Comparative Study of the Impact of Electronic Devices on University Students’ Academic Performance. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
6. Sadyk, U., Duisebekov, Z., Sapargali, N., & Amirzhanov, A. (2021, November). Effective Ways to Pass Exams in Programming Disciplines and Optimize the Process of Analyzing Results. Case Study: Suleyman Demirel University. In 2021 16th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-3). IEEE.
Conference
1. “Transfer Learning in Banknote Classification: A Comparative Analysis of Fine-tuned CNNs – AlexNet, GoogLeNet, and VGG16 on the Kazakhstan Banknotes Dataset”. The 4th International Workshop on ACeSYRI: Modern Experience for PhD students and Young Researchers, Paris, France, September 25-29, 2023
2. “Design and Evaluation of a Personalized Job Recommendation System for Computer Science Students Using Hybrid Approach”. International Conference: International Conference on Electronics Computer and Computation, Almaty, Kazakhstan, June 1-3, 2022
3. “MBTI-based recommendation system for extracurricular activities for high school students”. International Conference: International Conference on Electronics Computer and Computation, Almaty, Kazakhstan, June 1-3, 2022
4. “A Comparative Study of the Impact of Electronic Devices on University Students’ Academic Performance”. International Conference: International Conference on Electronics Computer and Computation, Almaty, Kazakhstan, June 1-3, 2022
Projects
Bolashak 2023 scholarship
Membership of professional organisations
Expert in Computer Science & Data Science Accreditation by ASIIN Accreditation Agency in Dusseldorf, Germany, and ACQUIN Accreditation Agency in Bayreuth, Germany
Gulnara Saimassay
Senior Lecturer
GULNARA SAIMASSAY
gulnara.saimassay@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
BS in Information Systems (2021). SDU University, KZ.
MS in Computer Sciences (2023). SDU University, KZ
PhD student in Computer Sciences (current). SDU University, KZ
Certificates
IELTS 7.5, 2023
Working Experience
Senior Lecturer, SDU University, Integrates current research findings and methodologies into teaching, ensuring students learn cutting-edge techniques and applications in deep learning. 2023 – present
International Coordinator, SDU University, Integrates current research findings and methodologies into teaching, ensuring students learn cutting-edge techniques and applications in deep learning. 2023 – present
Assistant-Instructor, Faculty of Engineering and Natural Sciences, SDU University, Kaskelen, Kazakhstan, 2021-2023.
Courses
INF 305 Database Management Systems 2, Bs
CSS 105 Fundamentals of Programming, Bs
CSS 206 Database Management Systems 1, Bs
CSS 489 Diploma preparation, Bs
Research Interests
Data Science, IT in Education
Publications
1. Recommendation System for Human Resource Management by the Use of Apache Spark Cluster, 2023, 17th International Conference on Electronics Computer and Computation (ICECCO), pp. 1-4, A. Serek, K. Orynbekova, A. Talasbek, D. Kariboz, A. Bogdanchikov
2. Analysis of Self-esteem on Students’ Performance in Online Programming Competition, 2023, 17th International Conference on Electronics Computer and Computation (ICECCO), pp. 1-4, A. Serek, M. Zhaparov, C. Nguyen Giang, V. Truong Hoang and Z. Zhalgassova
Ardak Shalkarbayuly
Senior Lecturer
ARDAK SHALKARBAYULY
ardak.shalkarbay-uly@sdu.edu.kz
Post
Senior Lecturer
Degree Qualifications
MSc in Computer Science, SDU, KZ, 2010
BSc in Computer Science, SDU, KZ, 2004
Working Experience
Senior Lecturer, SDU University, Kazakhstan, Kaskelen, 2008 – 2024
Courses
INF 106 Information and Communications Technologies, Bs
INF 336 Information Search and Retrieval, Bs
INF 225 Introduction to Java Programming, Bs
INF 376 Natural Language Processing, Bs
INF 202 Database Management Systems 1, Bs
CSS 316 Advanced Programming Techniques, Bs
CSS 213 Foundations of WEB Programming, Bs
CSS 311 Computer System Interface, Bs
CSS 423 Artificial Intelligence, Bs
CSS 431 Collective Intelligence , Bs
CSS 410 Research tools and methods, Bs
CSS 489 Diploma preparation, Bs
CSS 671 Scientific Research Work of Master Student 3, Ms
Research Interests
Machine Learning, Natural Language Processing
Duman Telman
Senior Lecturer
DUMAN TELMAN
duman.telman@sdu.edu.kz
Post
Senior Lecturer
Degree qualifications
BS in Computer Sciences, SDU University, KZ, 2021
MS in Computer Sciences, SDU University, KZ, 2023
PhD in Software Engineering, Satbayev University, KZ, current
Working Experience
Cybersecurity track leader, , SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Senior Lecturer, , SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Coordinator of Practice in Computer Science department, , SDU University, Kazakhstan, Kaskelen,2021 – 2023
Assistant teacher, SDU University, Kazakhstan, Kaskelen, Sep 2021 – Aug 2023
Courses
INF 231 Web programming: front end, Bs
INF 106 Information and Communications Technologies, Bs
INF 228 UX/UI design, Bs
INF 370 User Interface Design, Bs
MAT 122 Algorithms and programming 1, Bs
MAT 122 Algorithms and programming 1, Bs
MCM 104 Algorithms and programming 1, Bs
MDE 173 Information and Communication Technologies, Bs
MMS 106 Computer graphics programming and Educational Practice, Bs
Research Interests
Natural language processing (NLP)
Projects
ACeSYRI project, Europe, 2023-2024
Diana Abdrakhim
Teaching Assistant
DIANA ABDRAKIM
diana.abdrakim@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
Bc in Information system, KarU University, KZ, 2022
Ms in Computer science, SDU University, KZ, 2024
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2022 – Present
Assistant instructor Narxoz University, Almaty, KZ
Courses
CSS 206 DBMS 1, Bs
INF 305 DBMS 2, Bs
INF 338 Linux Administration systems, Bs
MAT 106 ICT, Bs
MMS 101 Computer programming 1, Bs
MMS 105 Computer programming 2, Bs
Research Interests
Computer vision, Machine Learning
Zhadyra Zhalgassova
Teaching Assistant
ZHADYRA ZHALGASSOVA
zhadyra.zhalgassova@sdu.edu.kz
Post
Teaching Assistant
Degree Qualifications
MS in Computer Science, SDU University, KZ, 2024
BS in Information Systems, SDU University, KZ, 2022
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2022 – present
Courses
INF 202 Database Management Systems 1, Bs
MAT 122 Algorithms and programming 1, Bs
MAT 106 Information and Communication Technologies, Bs
CSS 152 Physics 1, Bs
CSS 328 Introduction to Data Analysis, Bs
MMS 106 Computer graphics programming and Educational Practice, Bs
Research Interests
Machine learning, Data Science
Publications
1. Zhalgassova, Z., Shaikym, A., Sadyk, U., Kutzhan, A., Amirkumar, M., & Assangali, B. (2023, June). “MBTI-based recommendation system for extracurricular activities for high school students.” In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
2. Shaikym, A., Zhalgassova, Z., & Sadyk, U. (2023, June). “Design and Evaluation of a Personalized Job Recommendation System for Computer Science Students Using Hybrid Approach.” In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-7). IEEE.
3. Serek, A., Saimassay, G., Zhaparov, M., Giang, C. N., Hoang, V. T., & Zhalgassova, Z. (2023, June). “Analysis of Self-esteem on Students’ Performance in Online Programming Competition.” In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
4. Saimassay, G., Zhaparov, M., & Zhalgassova, Z. (2023, June). “Analysis of Programming Education at the Primary Education Level.” SDU Bulletin: Natural and Technical Sciences, 63(2), 14-23. ISSN 2709-2631.
5. Sarsenbay, S., Turan, C., Varlamis, I., & Zhalgassova, Z. “A Novel Job Recommendation System Using the Benefits of the Gallup Test.” Available at SSRN 4687922. (preprint)
Yernar Akhmetbek
Teaching Assistant
YERNAR AKHMETBEK
yernar.akhmetbek@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Computer Science, SDU University, KZ, 2024
BS in Computer Science, SDU University, KZ, 2022
Certificates
Coursera Certificate, Machine learning specialization
Coursera Certificate, Deep learning specialization
Working Experience
Research Assistant, SDU University, Kazakhstan, Kaskelen, Sep 2022 – Present
Junior Android Developer, DNA Payments, England, Oct 2022 – Oct 2023
Intern Android Developer, Dev House, Kazakhstan, Almaty, Jan 2022 – Apr 2022
Courses
NF 106 ICT, Bs
INF 423 Statistics and Data visualization, Bs
CSS 226 Backend programming, Bs
CSS 328 Introduction to Data analysis, Bs
CSS 324 Introduction to Machine Learning, Bs
Research Interests
Machine learning
Publications
1. Mustakhov, T., Akhmetbek, Y., & Bogyrbayeva, A. (2023). “Deep Reinforcement Learning for Stochastic Dynamic Vehicle Routing Problem.” In 2023 17th International Conference on Electronics Computer and Computation (ICECCO). IEEE.
2. Akhmetbek, Y., & Mustakhov, T. (2023). “Stochastic Dynamic Vehicle Routing Problem Survey.” SDU Khabarwysy.
Projects
Kazakhstan Ministry Grant funding, Kazakhstan, 2023
Mukhtar Amirkumar
Teaching Assistant
MUKHTAR AMIRKUMAR
mukhtar.amirkumar@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Computer Science, SDU University, KZ, 2024
BA in Computer Systems and Software, Kazakh-British Technical University, KZ, 2022
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2022 – present
Courses
INF 202 DBMS 1, Bs
INF 305 DBMS 2, Bs
CSS 206 Database Management Systems 1, Bs
MAT 122 Algorithms and programming 1, Bs
MMS 106 Computer graphics programming and Educational Practice, Bs
Research Interests
Natural Language Processing, Machine Learning
Publications
1. Amirkumar, M., Orynbekova, K., Talasbek, A., Ayazbayev, D., & Cankurt, S. (2024, May). Comparative Effectiveness of Rule-Based and Machine Learning Methods in Sentiment Analysis of Kazakh Language Texts. Scientific Journal of Astana IT University.
2. Zhalgassova, Z., Shaikym, A., Sadyk, U., Kutzhan, A., Amirkumar, M., & Assangali, B. (2023, June). MBTI-based Recommendation System for Extracurricular Activities for High School Students. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
Nursat Bakyt
Teaching Assistant
NURSAT BAKYT
nursat.bakyt@sdu.edu.kz
Post
Teaching Assistant
Degree Qualifications
BS in Information Systems, SDU University, KZ, 2023
Working Experience
Teacher Assistant, SDU University, Kaskelen, Sep 2023 – present
Senior Frontend Developer, Kinopark & Kinoplexx Theaters, Almaty, May 2022 – present
Courses
CSS 105 Fundamental of programming, Bs
INF 231 Web programming: frontend, Bs
CSS 217 Software Architecture and Design patterns, Bs
CSS 342 Software Engineering, Bs
Research Interests
Web Development
Yerbol Baigarayev
Assistant Instructor
YERBOL BAIGARAYEV
yerbol.baigarayev@sdu.edu.kz
Post
Assistant Instructor
Degree qualifications
BS in Information systems, SDU University, KZ, 2021
Certificates
ICPC Honorable mention certificate
Working Experience
2-time World Finalist Coach, providing coaching and mentorship for competitive programming teams Assistant-Instructor, SDU University, Almaty, Sep 2021 – Present
Courses
CSS 215 Introduction to Algorithms, Bs
CSS 228 Advanced Algorithms, Bs
Research Interests
Machine Learning Algorithms
Nuray Dauletkhan
Teaching Assistant
NURAY DAULETKHAN
nuray.dauletkhan@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Computer Sciences, SDU University, KZ, current
Bachelor in Media Technologies, Astana IT University, KZ, 2023
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Courses
MAT 122 Algorithms and programming 1, Bs
MDE 173 Information and Communication Technologies
Research Interests
Machine Learning
Dina Kengesbay
Teaching Assistant
DINA KENGESBAY
dina.kengesbay@sdu.edu.kz
Post
Teaching Assistant
Degree Qualifications
MS in Computer Science, SDU University, KZ, current
BS in Information Systems, SDU University, KZ, 2023
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Courses
MDE 173 ICT, Bs
INF 423 Visualisation for Data analysis, Bs
Research Interests
Machine Learning, Data Analysis
Assel Yembergenova
Teaching Assistant
ASSEL YEMBERGENOVA
assel.yembergenova@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Computer Science, SDU University, KZ, current
BS in Information Systems, SDU University, KZ, 2023
Certificates
Academic IELTS certification 6.0
Working Experience
Assistant instructor and Beta Carrot coordinator, SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Courses
MAT 122 Algorithms and programming 1, Bs
MAT 124 Algorithms and programming 2, Bs
Research Interests
Machine Learning, Deep Learning
Maksat Maratov
Teaching Assistant
MAKSAT MARATOV
maksat.maratov@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Information System, SDU University, KZ, current
BA in Software engineering, Astana IT University, KZ, 2023
Working Experience
Android Developer, MN Partners. Astana KZ. 06.01.22 – 15.02.23
Assistant instructor, SDU University, Kaskelen, Sep 2023 – Present
Courses
CSS 108 Fundamentals of Programming 2, Bs
CSS 105 Fundamentals of Programming 1, Bs
CSS 217 Software Architecture and Design Patterns, Bs
Research Interests
Machine Learning, NLU, NLP
Zhaniya Medeuova
Teaching Assistant
ZHANIYA MEDEUOVA
zhaniya.medeuova@sdu.edu.kz
Post
Teaching Assistant
Degree Qualifications
MS in Computer Science, SDU University, KZ, current
BS in Information Systems, SDU University, KZ, 2023
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2023 – present
Intern Frontend Developer, Pimmer Company, Almaty, KZ, Jan 2023 – Jun 2023
Courses
MAT 122 Algorithms and programming 1, Bs
MAT 124 Algorithms and programming 2, Bs
Research Interests
Machine Learning, Deep Learning
Amina Shaiky
Teaching Assistant
AMINA SHAIKY
amina.shaikym@sdu.edu.kz
Post
Teaching Assistant
Degree qualifications
MS in Computer Science, SDU University, KZ, 2024
BA in Computer Science, Nazarbayev University, KZ, 2022
Working Experience
Assistant instructor, SDU University, Kazakhstan, Kaskelen, Sep 2022 – present
Courses
CSS 105 Fundamentals of Programming 1, Bs
CSS 108 Java 2,
Bs MDE 173 ICT, Bs
Research Interests
Machine Learning, Artificial Intelligence, Recommendation System
Publications
1. Design and Evaluation of a Personalized Job Recommendation System for Computer Science Students Using Hybrid Approach. (2023, June). In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-7). IEEE. Shaikym, A., Zhalgassova, Z., & Sadyk, U.
2. MBTI-based recommendation system for extracurricular activities for high school students. (2023, June). In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE. Zhalgassova, Z., Shaikym, A., Sadyk, U., Kutzhan, A., Amirkumar, M., & Assangali, B.
3. A Comparative Study of the Impact of Electronic Devices on University Students’ Academic Performance.(2023, June) In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE. Kutzhan, A., Shaikym, A., & Sadyk, U.
Membership of professional organisations
ACM Woman Lab