Amine Mohamed Aboussalah is an Industry Assistant Professor in the Department of Finance and Risk Engineering at the NYU Tandon School of Engineering. He earned his Ph.D. in Artificial Intelligence and Operations Research at the University of Toronto. His research interests lie broadly in artificial intelligence and dynamical systems. He enjoys applying theoretical mathematical concepts such as information geometry to develop new machine learning algorithms for a variety of practical real-world dynamical systems applications. He uses the financial application domain as a challenging real-world dynamical systems environment in which to advance reinforcement learning. Professor Aboussalah's primary research interest is improving reinforcement learning algorithms for solving and controlling dynamical systems by exploiting topological properties of time-series data and partial differential equations. As a teacher, he likes to mix theory and practice by sharing both his research and his industry experiences.
Publications
- Aboussalah, A. M., Chi, C., & Lee, C. G. (2023). Quantum computing reduces systemic risk in financial networks (PDF). Scientific Reports, 13(1), 3990
- Aboussalah, A. M., Kwon, M., Patel, R. G., Chi, C., & Lee, C. G. Recursive Time Series Data Augmentation (PDF). In The Eleventh International Conference on Learning Representations.
