Research Focus

At BUCIS Lab, we study a broad range of topics in data science & artificial intelligence. We always welcome dedicated, hardworking, and passionate team members.

Research Opportunities

We are seeking undergraduate research students, master’s students, and PhD students to work on the subjects below.
If you are interested in any of them, please contact Ercan Atam at ercan.atam@bogazici.edu.tr

• A Taxonomy of Mother-in-Law and Daughter-in-Law Conflicts within Turkish Society: Optimal Mediation Strategies for the Husband
• Automatic Choreography Synthesis from Music via Deep Reinforcement Learning
• Harnessing Sun and Soil: Smart, Agriculture-Dominated Multi-Purpose Use of Photovoltaic Systems
• Reinforcement Learning–Assisted Optimization of Weight-Loss Management in Adults with Overweight or Obesity
• AI-Based Detection and Correction of Out-of-Tune Singing in Turkish Music
• Reinforcement Learning-Based Film Music Generation
• Automating Optimal Nonlinear Function Approximation via Multi-Agent Reinforcement Learning

Academics

• Ercan Atam Head of BUCIS Lab
• Şaziye Betül Özateş
• Erdinç Akyıldırım Business School, University of Nottingham
• Ahmet Çağın Part-time faculty member, Dept. of Management

Students

Intelligent Control Systems

• Atakan Zeybek PhD student, co-advised with Hüseyin Oktay Altun
• Brusk Serhat Solgun MS student
• Hritika Kowlessur MS student

Intelligent Financial Systems

• Seçil Köktürk PhD student, co-advised with Şaziye Betül Özateş
• Zeynep Ellialtı PhD student
• Zeynep Yıldız MS student

Data Drift / Rare Event Detection

• Tugay Balatlı MS student, co-advised with Şaziye Betül Özateş

AI in Environmental Sciences

• Gizem Özçelik MS student

Scientometrics

• Zeynep Karaman MS student, co-advised with Şaziye Betül Özateş
• Begüm Ceyda Karslı MS student, co-advised with Şaziye Betül Özateş

AI Applications in Education

• Tuğba Canbaz Sevinç MS student, co-advised with Şaziye Betül Özateş

AI Use for Black-Box Optimization

• Burak Berk Bulut MS student

AI Applications in Cognitive Science

• Elif Bayındır MS student

AI Applications in Health Sciences

• Bahri Atakan Yıldız

Intelligent Recommendation Systems

• Ayşenur Ercan MS student, co-advised with Tarkan Aydın (Bahçeşehir University)

Study Area to be Determined

• Mihrimah Göknar MS student

AI Applications in Social Sciences

• Gökçe Duru Tekçam Undergraduate research student, from Sociology Department
• Zeynep Bereketbulur Undergraduate research student, from Psychology Department

Ongoing & Past Projects

• Reinforcement learning in optimization of passsive energy dissipation devices for seismic control of buildings
  • M. C Kurucu, E. Atam, M. Guzelkaya, I. Eksin, "Intelligent computational methods for optimal distribution of friction dampers in seismic protection of buildings", IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 4, pp. 3055-3066, 2024.
  • M. C. Kurucu, E. Atam, M. Güzelkaya and I. Eksin, "Simultaneous Optimization of the Number and Distribution of Friction Dampers for Seismically Excited Buildings: An AI Approach" 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkiye, 2024, pp. 1-6, doi: 10.1109/IDAP64064.2024.10710716.
• A multi-agent deep reinforcement learning approach to optimization of friction damper systems for seismically excited buildings
• (Boğaziçi University, BAP SUP, 01.05.2024-30. 05.2026).
• AI-assisted advanced techniques for control for variable-mass UAVs
• (TÜBİTAK BİLGEM, 01.10.2024-30.09.2025).
• Optimization- and AI-based approaches to academic quality quantification for transparent academic recruitment.
• Multi-agent reinforcement learning/deep learning approaches for gain-scheduled PID control design.
• Agriculture-dominated multi-purpose use of photovoltaic systems.