Ricardo Fukasawa

Ricardo Fukasawa is a Professor in the Department of Combinatorics and Optimization at the University of Waterloo, part of the Faculty of Mathematics. He holds a PhD in Algorithms, Combinatorics, and Optimization from Georgia Institute of Technology and has held postdoctoral and faculty positions at IBM Research and the University of Waterloo. His research focuses on cutting planes for mixed-integer programming, computational optimization, operations research, and routing problems, with applications in logistics and scheduling.

Education: PhD in Algorithms, Combinatorics, and Optimization (GeorgiaTech, 2008); MEng and BEng in Electrical Engineering (PUC-Rio, 2002 and 2000). He has received awards such as the IBM Herman Goldstine Fellowship and the Early Researcher Award.

Research interests include: Mixed-Integer Programming, Computational Optimization, Routing Problems, Stochastic Optimization, and Polyhedral Combinatorics. His work often addresses real-world challenges in scheduling and vehicle routing, leveraging algorithmic and computational methods.

Publications span topics like scheduling policies, cutting planes, and vehicle routing under uncertainty. Notable contributions include dynamic scheduling frameworks and branch-and-cut algorithms for combinatorial optimization.

• Grants: Recipient of NSERC Discovery Grants, Waterloo Institute for Nanotechnology funding, and collaborative industry grants.
• Students: Supervised numerous PhD and Master’s students in optimization and operations research.
• Service: Editor for Operations Research and Operations Research Letters; organizer of conferences like IPCO and ISMP.

Labs and collaborations include interdisciplinary projects with industrial partners, focusing on optimizing large-scale systems and scheduling algorithms.