Boris Houska

Boris Houska is an Associate Professor at the School of Information Science and Technology at ShanghaiTech University. His research focuses on numerical optimization, optimal control, robust and global optimization, and fast model predictive control algorithms. He holds a Ph.D. in Electrical Engineering from KU Leuven (2011) and a diploma in Mathematics and Physics from the University of Heidelberg (2007). Prior to his current role, he held positions including Assistant Professor at ShanghaiTech (2014–2020), postdoctoral researcher at Imperial College London (2012–2013), and visiting roles at institutions like UC Berkeley and the Freiburg Institute for Advanced Studies.

His work emphasizes algorithm development for control systems, with notable contributions to the ACADO Toolkit, a widely recognized open-source framework for automatic control and dynamic optimization. Key awards include the ICCOPT Best Paper Prize (Finalist), a Marie-Curie Fellowship, and the ShanghaiTech Excellent Professor Award.

Research interests span distributed optimization, robust control, and applications in power systems and robotics. His publications often address challenges in MPC (Model Predictive Control), including tube-based methods, distributed algorithms, and stochastic systems. Collaborative work includes contributions to smart grid optimization and autonomous vehicle coordination at traffic intersections.