Babak Rahmani

I am a PhD student in Electrical Engineering department of EPFL where I am advised by Christophe Moser. I also work closely with Demetri Psaltis on Machine learning and its applications in inverse problems, information retrieval and control systems. Prior to joining EPFL, I graduated from Sharif University of Technology, Iran with a M.Sc. and Tehran University, Iran with a B.Sc. both in Electrical Engineering. My goal is to build robust and reliable machine learning algorithms for controlling real-world complex systems in various disciplines ranging from communication, imaging systems to neuroscience and robotics.Please visit my Google Scholar (link above) for an updated list of my publications.

Backpropagation-free training of deep physical neural networks

Learning of physical systems: from inference to control

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Backpropagation-free training of deep physical neural networks

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Learning of physical systems: from inference to control