Babak Rahmani

This person is no longer with EPFL

Biography

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.

Official source

https://people.epfl.ch/babak.rahmani

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Related publications (14)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

People doing similar research (34)

Babak Rahmani

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

Learning of physical systems: from inference to control

Backpropagation-free training of deep physical neural networks

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