I am interested in developing and implementing industrial decision support systems that involve hard combinatorial optimization problems. I use these problems as an inspiration to define new hybrid optimization methods in the intersection between computer science, operations research, and analytics. I am particularly interested in understanding how efficient methods developed in computer science for handling logical constraints and discrete decisions like constraint programming, automated planning, binary decision diagrams, configuration, and SAT-checking can be used to improve operations research techniques like mathematical programming and meta heuristics. I am also interested in studying the combinatorial structure of high-profile optimization problems like container vessel stowage and vessel repositioning in order to understand how they can be decomposed efficiently.
Appointments and Positions
See the Decision Optimization Lab home page
Member of IEEE and INFORMS.