Short Bio

Ramin is a Ph.D. research assistant in Computer Science at the Institute of Computer Engineering, of TU Wien, Austria. His primary research focus is on the development of interpretable machine learning algorithms for dynamical systems. Ramin has had his brain-inspired machine learning research featured at the TEDxVienna 2018 forum. He was a visiting research scholar at Massachusetts Institute of Technology (MIT), CSAIL, investigating interpretable neural network topologies for autonomous robotic systems. He co-chaired the 1st NIPS workshop on Worm’s Neural Information Processing (WNIP) at the 31st NIPS Conference, Long Beach, California, 2017. Ramin actively collaborates with the Distributed robotics lab at CSAIL of MIT, Institute of Science and technology (IST) Austria, Infineon Technologies, and Zimmer Group at IMP, Austria. Ramin is also a senior contributor at the OpenWorm Foundation, USA. He was a visiting scholar the Department of Computing at Imperial College London, working on developing deep learning solutions for behavioral modeling dynamic systems. Ramin has completed an M.Sc. in Electronic Engineering at Politecnico di Milano (2015) and has got his B.Sc. in Electrical Engineering – Electronics at Ferdowsi University of Mashhad (2012).
As a junior AI scientist, he offers solid knowledge in interpretable machine learning, recurrent neural networks, deep learning, neuromorphic systems, brain-inspired learning systems, dynamical systems modeling, robot control.


Research Interests

  • Interpretable Machine Learning

  • Recurrent Neural Networks

  • Computational Neuroscience

  • Dynamic Systems Modeling

  • Autonomous Systems

  • End-to-end Robot Control