Dr. Emir Demirović is an Assistant Professor in the Department of Computer Science at Delft University of Technology (TU Delft), The Netherlands. He leads the Constraint Solving ("ConSol") research group and co-directs the Explainable AI in Transportation Lab ("XAIT") as part of Delft AI Labs.

Prior roles: Postdoc at University of Melbourne (2017-2020), PhD at Vienna University of Technology (2017)
Collaborations: Civil Engineering, QuTech, and industry partners
Funding sources: Dutch national funding agency, TU Delft, VoestAlpine

Research Focus:

Constraint programming and combinatorial optimisation
Explainable AI methods for decision-making systems
Integration of optimisation with machine learning
Robust/resilient optimisation for industrial applications
Optimal decision trees with dynamic programming
Quantum computing scheduling techniques

Scientific Contributions:

Pioneered "Pseudo-Boolean Reasoning" for algorithm certification
Developed "Blossom" algorithm for optimal decision trees
Advances in "Predict+Optimise" frameworks
Created Pumpkin constraint programming solver
Bridge between SAT/CP and Machine Learning

Awards:

First Place, MaxSAT Evaluation 2018+
First Place, ROADEF/EURO 2012
Adoption of methods in Google OR-Tools

Collaborations:

Research visits to EPFL, ANITI/CNRS, CUHK, Monash University, TU Wien
Participated in Dagstuhl seminars, Lorentz workshops, and Simons-Berkeley programme

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