معرفی
E. Emir Demirović is affiliated with the Department of Algorithmics at the Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology. His research focuses on dynamic programming, constraint programming, and optimization techniques applied to artificial intelligence and machine learning systems. He leads the project "Towards a Unification of AI-Based Solving Paradigms for Combinatorial Optimisation" (2022–2026), exploring AI methods for logistics and combinatorial problems. Collaborations include work on decision trees, proof systems, and constrained path optimization.
Key research interests include policy synthesis for black-box systems, optimal classification trees for continuous data, and verification frameworks for constraint solvers. His work bridges theoretical algorithm design with practical applications in healthcare analytics and mobility systems, as highlighted in a 2025 media feature on AI in transportation.
Demirović has contributed datasets for optimal decision tree methods and variable initialization techniques for lazy clause generation solvers. His research emphasizes interpretable AI solutions and rigorous validation through proof logging frameworks.
