Faculty Member, PhD

Tuğrul Cabir Hakyemez

+90 212 311 7741

Santralistanbul / L1 - 118

Education

Ph.D. in Management Information Systems                               2022

Boğaziçi University

Thesis: Developing a Dynamic Predictive Policing System

Advisor: Prof. Dr. Bertan Badur

M.A. in Management Information Systems                                2015

Sakarya University

Thesis: Designing a Decision Support System for Predicting First-Year Student Academic Performance (in Turkish)

Advisor: Prof. Dr. Erman Coşkun

B.S. in Industrial Engineering                                                      2011

Sakarya University

Courses

Current Courses

  • Data Analytics for Business (MIS 303) 
  • Startup Design Project (BUS 445) 
  • Intermediate Programming (MIS 102)  
  • Management Support Systems and Business Intelligence (MIS 402) 

Previously Taught (İstanbul Bilgi University)

  • Business Information Systems (MIS 202) 
  • Machine Learning for Managerial Decision Making (MIS 315) 
  • Information Systems Project 1 & 2 (MIS 497/498) 

Areas of Interest

  • Spatiotemporal Data Analysis 
  • Graph Learning 
  • Machine Learning 
  • Deep Learning 
  • Reinforcement Learning 
  • Urban Analytics 
  •  Data Science 
  • Predictive Maintenance 
  • Graduate Employability

Rewards and Achievements

Istanbul Bilgi University                                                               2025

Outstanding Faculty Award                                                              

TÜBA – TEKNOFEST Doctoral Science Award                       2024

First Prize – Social Sciences and Humanities

Boğaziçi University, Scientific Research Commission               2022

Ph.D. Thesis Award

Other Information

Refereed Journal Articles

Dedeoğlu, Çağdaş, Hakyemez, T. C., & Taylor, B. (2026). Beyond Religious-Secular Divides: Dark Green Religion, Islam, and Environmental Behavior in Türkiye. Journal for the Study of Religion, Nature and Culture (ESCI)

Hakyemez, T. C., & Badur, B. (2026). Enhancing deep learning-based crime hotspot predictions with theory-based environmental risk scores. Applied Spatial Analysis and Policy, 19(1), 39. (SSCI)

Hakyemez, T. C., & Badur, B. (2023). Incorporating park events into crime hotspot prediction on street networks: A spatiotemporal graph learning approach. Applied Soft Computing, 148, 110886. (SCI-E)

Hakyemez, T. C., & Badur, B. (2021). Crime risk stations: Examining spatiotemporal influence of urban features through distance-aware risk signal functions. ISPRS International Journal of Geo-Information, 10(7), 472. (SCI-E)

Hakyemez, T. C., & Mardikyan, S. (2021). The interplay between institutional integration and self-efficacy in the academic performance of first-year university students: A multigroup approach. The International Journal of Management Education, 19(1), 100430. (SSCI)

Hakyemez, T. C., Babaoglu, C., & Basar, A. (2023). Putting spatial crime patterns in their social contexts through a contextualized colocation analysis. GeoJournal, 1–21. (ESCI)

Akar, E., Hakyemez, T. C., Bozanta, A., & Akar, S. (2022). What sells on the fake news market? Examining the impact of contextualized rhetorical features on the popularity of fake tweets. Online Journal of Communication and Media Technologies, 12(1), e202201. (ESCI)

Ozturan, M., Alacam, S., Coskun-Setirek, A., Hakyemez, T. C., Kebapci, H., Ozturk, E., & Tasan, E. (2017). A citizen-centric integrated information system for municipalities. Journal of Public Administration and Governance, 175–197.

Akkaya, A., Hakyemez, T. C., Kutbay, E., & Bayraktar, B. K. How does students’ learning (achievement) relate to their level of we-intention and their learning methods on Facebook? Yönetim Bilişim Sistemleri Dergisi, 2(2), 61–69.

International Conference Proceedings

Hakyemez, T. C., & Adar, O. (2025). Evaluating the effectiveness and efficiency of hyperparameter optimization algorithms for short-term electricity load forecasting. In Proceedings of IEEE ICECER 2025, December 6–8, Madagascar.

Hakyemez, T. C., Bozanta, A., & Coşkun, M. (2018). K-Means vs. Fuzzy C-Means: A comparative analysis of two popular clustering techniques on the featured mobile applications benchmark. Proceedings of 5th International MIS Conference, 1–21, Ankara.

Hakyemez, T. C., & Coskun, E. (2014). A data mining approach towards predicting the academic success of students based on demographic features and high school education parameters. GIBA Conference, 708–713.

Hakyemez, T. C., Cekici, T., & Gundogan, T. (2013). Extreme logistics: Comparison with traditional logistics services and an overview of the situation in Turkey. IX. Logistics and Supply Chain Congress.

Preprints

Hakyemez, T. C., & Adar, O. (2024). Testing the efficacy of hyperparameter optimization algorithms in short-term load forecasting. arXiv preprint arXiv:2410.15047.