معرفی
Ercan Atam is an Associate Professor at the Institute for Data Science & Artificial Intelligence of Boğaziçi University. He specializes in developing advanced control, optimization, and AI methodologies for impactful societal applications such as smart buildings, agricultural systems, and structural engineering. His research spans predictive control, reinforcement learning, and AI-driven solutions for energy efficiency and seismic protection.
Key areas of focus include: (1) AI-based optimization of friction dampers for earthquake-resistant buildings, (2) predictive control for residential energy systems, (3) machine learning in computational social sciences, and (4) green energy integration in frost prevention for horticulture. He teaches a novel 'Reinforcement Learning' course emphasizing control engineering principles and is authoring a comprehensive textbook on the subject.
Recent publications highlight interdisciplinary applications such as AI in academic recruitment models and multi-objective optimization of hybrid energy systems. His work bridges theoretical control engineering with practical implementation in building automation, renewable energy, and disaster resilience.
Professor Atam actively seeks motivated graduate students for projects in reinforcement learning, system identification, and optimal control design. He emphasizes mathematical rigor and practical software solutions in his research and teaching.