Computer science
Degree
MSc in Computer Science
Program length
2 years
ECTS
120
Related specialties
Information systems
Computer Science
This programme aims to prepare students to demonstrate skills in algorithms, do research projects, use analytical tools for data analysis, and automate various processes. They will also apply ICT in appropriate environments and be encouraged to publish research results in journals and present at conferences. The main focus of the programme is to improve understanding of algorithms and their application in industry level projects. The basis for instruction is an online interactive platform which will facilitate the learning of students in different locations and working hours. A face-to-face meeting with instructors will occur during 2 week final exam period. Main competencies are:
● Continuous learning by searching for correct solutions on labs and project assignments and providing presentations and reports;
● Critical thinking by designing useful and customized automation solutions by implementation of projects and exams;
● Planning research by mutually agreeing and reviewing weekly targets with thesis supervisor and providing individual reports;
● Pedagogical approach by attending pedagogy course, and pedagogical practice and writing a report
Student autonomy by participation in class exercises & homework activities which promote choice & decision-making and producing thesis
- System Programs – 5 ECTS;
- Fundamentals of Algorithmization and Programming – 5 ECTS;
- Mathematical Analysis 1-5 ECTS;Total: 20 ECTS
- Software engineering
There is no need to study prerequisite subjects if your Bachelor degree (major) is in relative speciality.
- Algorithms and data structure
- Database
Demonstrate an advanced understanding of algorithms, through implementation of various projects
- Develop analytical skills and justify usage of different IT tools in the form of reports and presentations;
- Conduct a literature review and compare multiple technologies to compose a relevant research paper;
- Apply programming skills for various process automation using industry recognized technological labs;
- Distinguish technologies for data analysis and produce innovative solutions in group or single projects;
- Critique available ICT solutions and propose appropriate implementation in their Master’s thesis;
- Show practical experience in real industrial tasks by participating in an industrial internship and producing a report post-visit.
| Compulsory courses | Elective courses |
|---|---|
CSS 503 Advanced Programming Technologies CSS 516 Research Tools and Methods CSS 571 Research work for the Master’s Degree including an internship and a Master’s MDE 501 History and Philosophy of Science MDE 522 Psychology of Management CSS 502 Methods of Writing MSc Thesis CSS 528 Algorithms and Competitive Programming CSS 592 Teaching practice MDE 552 Higher school pedagogy MDE 554 Foreign Language (professional) | CSS 507 Data Сollection, Wrangling, Analysis and Visualization CSS 518 RedHat – System Administration (I + II) CSS 537 IoT 1: things and networking CSS 538 Database Systems CSS 545 Robot Kynematics and Dynamics INF 501 ICT Architecture CSS 536 Data Science for IoT CSS 542 Introduction to Cybersecurity CSS 633 Machine Learning CSS 602 Data driven decision making CSS 610 Mobile and communication programming CSS 613 RedHat – System Administration (III + OpenStack) CSS 615 Big Data Analytics CSS 616 Advanced Cyber Security CSS 619 Natural Language Processing and Large Language Models CSS 620 Introduction to High Performance Computing CSS 621 Computer Vision and Image Analysis CSS 623 Information Security CSS 634 Deep Learning CSS 641 IoT in Industry CSS 643 Advanced Application and Network Security CSS 645 Robot Control |
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)
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.
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
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
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
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
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