Assistant Professor, Electrical, Computer, and Systems Engineering
He is currently an Assistant Professor in the Department of Electrical Computer and Systems Engineering at the Rensselaer Polytechnic Institute. Prior to joining Rensselaer, Dr. Paternain was a postdoctoral Researcher at the University of Pennsylvania. His research interests lie at the intersection of machine learning and control of dynamical systems. Dr. Paternain was the recipient of the 2017 CDC Best Student Paper Award and the 2019 Joseph and Rosaline Wolfe Best Doctoral Dissertation Award from the Electrical and Systems Engineering Department at the University of Pennsylvania.
Santiago Paternain received the B.Sc. degree in electrical engineering from Universidad de la República Oriental del Uruguay, Montevideo, Uruguay in 2012, the M.Sc. in Statistics from the Wharton School in 2018 and the Ph.D. in Electrical and Systems Engineering from the Department of Electrical and Systems Engineering, the University of Pennsylvania in 2018.
- Control of Dynamical Systems
- Machine Learning
- Santiago Paternain and Alejandro Ribeiro. "Stochastic Artificial Potentials for Online Safe Navigation", IEEE Transactions on Automatic Control, vol: 65, issue: 5, May 2020,pp.1985-2000.
- Luiz F.O. Chamon, Santiago Paternain, Miguel Calvo-Fullana and Alejandro Ribeiro. "The Empirical Duality Gap of Constrained Statistical Learning". In Proc. 45th International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 4-8 2020 (Best Student Paper award)..
- Santiago Paternain, Miguel Calvo-Fullana, Luiz F.O. Chamon and Alejandro Ribeiro. "Constrained Reinforcement Learning Has Zero Duality Gap" In Proc. 33rd Conference on Neural Information Processing Systems, vol. 7553-7563. Vancouver, Canada, December 8-14,2019.
- Santiago Paternain and Alejandro Ribeiro "Safe Online Navigation of Convex Potentials in Spaces with Convex Obstacles", In proc. 56th Annual Conference on Decision and Control, vol.24732478. Melbourne, Australia. December 12-16 2017 (Best Student Paper Award).