Short Bio

Ramin Hasani is a Postdoctoral Associate at the Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology (MIT). He received his Ph.D. degree with distinction in Computer Science at TU Wien, Austria. His Ph.D. dissertation on Liquid Neural Networks was co-advised by Prof. Radu Grosu (TU Wien) and Prof. Daniela Rus (MIT). Hasani’s research focuses on the development of interpretable deep learning and decision-making algorithms for robots. He has had his research work featured worldwide, including TED talks at TEDxVienna 2018 and TEDxCluj 2019. Ramin has completed an M.Sc. in Electronic Engineering at Politecnico di Milano (2015), Italy, and has got his B.Sc. in Electrical Engineering – Electronics at Ferdowsi University of Mashhad, Iran (2012).

Research Interests

  • Modeling intelligence
  • Continuous-time neural networks
  • Interpretable deep learning
  • Recurrent neural networks
  • Computational neuroscience
  • Dynamical systems modeling
  • Autonomous systems
  • End-to-end robot control