Ramin is a PhD research assistant in Computer Science at the Institute of Computer Engineering, of TU Wien, Austria, where he works on “Modeling and Learning of Analog Behavior”.
He is currently a visiting research scholar at Massachusetts Institute of Technology (MIT), CSAIL group, investigating novel machine learning algorithms for autonomous driving. He co-chairs the 1st NIPS workshop on Worm’s Neural Information Processing (WNIP) 2017. His young research on behavioral Modeling has been employed effectively at several Industrial and academic institutions such as: Infineon Technologies, Austria, OpenWorm Foundations, USA, and Institute of Molecular Pathology, Austria (Zimmer’s Lab).
He has been visiting the Department of Computing at Imperial College London for a period of 4-months, working on developing deep learning solutions for behavioral modeling of complex analog integrated circuits.
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 machine learning, bio-machine learning, deep learning, neuromorphic systems, biological systems modeling, electronic circuit design, simulation and verification in submicron CMOS technologies, discrete and integrated analog / digital circuits and electronic control unit (ECU) design.
Dynamic Systems Modeling
End-to-end Robot Control
Hardware Implementation of Spiking Neural Networks