Education:

• M.Sc.: Department of Statistics, Middle East Technical University, Turkey, 2023 - 2025 
• B.Sc.: Department of Statistics, Middle East Technical University, Turkey, 2019 - 2023

Research Interests: 

• Machine Learning
• Statistical Consulting
• Psychometrics
• Deep Learning
• Text Mining
• Educational Statistics

Assisted Courses / Laboratories:

• STAT 295 - Object Orianted Programming (Spring 2024)
• STAT 495 - Application in Statistics  (Spring 2024)
• STAT 311 - Modern Database Systems (Fall 2024)
• STAT 333 - Data Structures and Algorithms (Spring 2025)
• STAT 250 - Applied Statistics (Spring 2025)

Selected Publications:

Yucesan E, Erkan MA, Deveci A, Medeni IT (2024) Bekenbey AI: Innovative Solutions at the Intersection of Deep Learning and Law, Journal of Engineering Faculty, 2(2): 185-192  

Deveci A, Erkan MA, Medeni İT, Medeni TD (2026). A Novel Framework for Next Word Prediction Using Long-Short Term Memory Networks. Dokuz Eylul University Faculty of Engineering Journal of Science and Engineering, 28(82), 113–120. https://doi.org/10.21205/deufmd.2026288215

Erkan MA,  Koçak, H.E (2025) Perceptions of the Metaverse at the Peak of the Hype Cycle: A Cross-Sectional Study Among Turkish University Students. arXiv preprint arXiv:2512.17750

Deveci, A., Erkan, MA, Medeni, IT, Medeni, TD. (2025) Innovative Approaches to High-Energy Gamma Particle Classification: A Coevolutionary Artificial Neural Network for Cherenkov Telescopes. In Proceedings of CAIAC, Vol. 25, p. 37.

Erkan, MA., Yozgatlıgil C. (2025) Sustainable Science Mapping: Benchmarking Green AI against Transformers for Cross-Disciplinary Abstract Classification using arXiv. (Under review)

Academic and Professional Experience:

• Research Assistant in the Department of Statistics, Middle East Technical University, Turkey, December 2023 - Present
• Project Intern, Presidency of the Republic of Türkiye Human Resources Office, May-July 2023
• Data Science Intern at Yapı Kredi, July-September 2022

Thesis:

M. A. Erkan, Turkish Legal NLP: A Comprehensive AI Framework for Legal Document Understanding, Summarization, and Retrieval-Augmented Generation, MSc. Thesis. Under the supervision of Yozgatlıgil C.