Haluk Bingöl

Prof. Haluk Bingöl serves as a Professor at Yeditepe University's Faculty of Computer and Information Sciences, Department of Computer Science and Information Technologies since 2018. Previously, he held academic positions at Boğaziçi University from 2001 to 2018, progressing from Assistant Professor to full Professor in the Department of Computer Engineering.

His educational background includes a PhD (1987) and MS (1985) in Electrical and Computer Engineering from Syracuse University, with doctoral research on Boolean Comparison by Simulation, and a BS in Electrical and Electronics Engineering from Middle East Technical University (1982).

His research centers on Complex Networks and Evolutionary Game Theory, with significant contributions to understanding cooperation dynamics in the Iterated Prisoner's Dilemma, community detection algorithms, and epidemic modeling in urban networks. His work integrates computational modeling with real-world applications in social dynamics and information systems, often employing agent-based simulations to explore emergent phenomena.

Recent publications demonstrate consistent focus on game-theoretic models of cooperation, network structure analysis, and applications in social media and epidemiology. He maintains strong publication output in high-impact journals including Physical Review E, Advances in Complex Systems, and Journal of Theoretical Biology, with increasing interdisciplinary reach into mental health informatics and computational linguistics.

• Multiple Publication Incentive Awards from Boğaziçi University and TÜBİTAK
• Interpro IT Award for industry-academia collaboration
• Best Poster Award at COST MP0801
• United Nations Fellowship (1984-1985) and TEV International Scholarship
• National competition awards for student thesis supervision

Prof. Bingöl has supervised 23 graduate students across master's and PhD programs, with research spanning community detection, evolutionary dynamics, and attention economics. His grant portfolio includes leadership of the TURKCELL m-learning Project ($130,000), participation in EU-funded initiatives (EUMedGrid, ASSYST), and COST actions (TD1210, MP0801) focusing on complex systems research infrastructure.

He actively contributes to COST actions and collaborative networks, developing methodologies for complex systems analysis while mentoring next-generation researchers through structured academic programs and industry partnerships.