Selcuk Cankurt joined the SDU University in Kazakhstan in 2021 as a head of information system department (IS): he has been working as an assistant professor, MA thesis supervisor on this degree programme since 2021. He graduated from the University of Marmara, Istanbul, Turkey in 1997. He received the M.S. and Ph.D. degrees in Information Technologies from International Burch University, Sarajevo, Bosnia and Herzegovina in 2011 and 2015 respectively. He has studied in the areas of database systems, data warehouse, data cubes, data mining, business intelligence, artificial intelligence, machine learning, and fuzzy systems. His present research interests are data science, data lake, big data, big data analytics, machine learning, deep learning and natural language processing.

2015 – PHD, Engineering and Information Technologies Faculty (in English). International Burch University, Sarajevo, Bosnia and Herzegovina
2011 – Master’s Degree Engineering and Information Technologies Faculty (in English). International Burch University, Sarajevo, Bosnia and Herzegovina
1997 – Bachelor’s degree Information Technologies (in English), Technical Education Faculty, Marmara University, Istanbul, Turkey
1992 – English Prep School Marmara University, Istanbul, Turkey

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

Cankurt, S., Subaşi A. (2016). Tourism demand modelling and forecasting using data mining techniques in multivariate time series: A case study in Turkey. Turkish Journal of Electrical Engineering & Computer Sciences, the Scientific and Technological Research Council of Turkey – TÜBİTAK, 24, 3388 – 3404, doi: 10.3906 / elk-1311-134. (SCI Exp. Indexed and Scopus Index) Cankurt, S. & Subaşi A. (2015). Developing tourism demand forecasting models using machine learning techniques with trend, seasonal, and cyclic components. Balkan Journal of Electrical & Computer Engineering, 3(1), 42-49. Tourism Demand Forecasting Using Stacking Ensemble Model with Adaptive Fuzzy Combiner, S. Cankurt, A. Subasi Soft Computing (2022). (SCI Indexed and Scopus Index) K Orynbekova, S Cankurt and et. al. (2023). MapReduce Solutions Classification by Their Implementation. International Journal of Engineering Pedagogy, 13 (5) 58-71. (Indexed in Elsevier Scopus, Clarivate Analytics ESCI)

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. 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) 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. 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 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) 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) 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. Proceeding of IEEE 17th International Conference on Electronics Computer and Computation (ICECCO) DOI: 10.1109/ICECCO58239.2023.10146604 (Scopus Index) S B Polat, S Cankurt (2023) Fake News Classification using BLSTM with Glove Embedding. Proceeding of IEEE 17th International Conference on Electronics Computer and Computation (ICECCO) DOI: 10.1109/ICECCO58239.2023.10147150 (Scopus Index)

Data science, data lake, big data, big data analytics, machine learning, deep learning and natural language processing