Babak Rahmani

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babak.rahmani@epfl.ch 41 21 693 51 71

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EPFL > ETU > EDOC > EDEE

Web site: Web site: https://go.epfl.ch/edee

EPFL STI IMT LAPD
BM 4110 (Bâtiment BM)
Station 17
CH-1015 Lausanne

41 21 693 51 71
41 21 693 90 66
Office: BM 4110
EPFL > STI > IMT > LAPD

Web site: Web site: https://lapd.epfl.ch

41 21 693 90 66
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDEE-GE

Web site: Web site: https://go.epfl.ch/phd-edee

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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.

Resume

You can find my full resume here.

Recent updates

[20.02.2021] I did a review for a Nature journal on application of deep learning to AR/VR.
[26.10.2020] I started my mandate as the Electrical Engineering (EDEE) student representative!
[19.10.2020] Just did a review for a Nature journal on deep learning and image retrieval.

Publications

Selected publications

Babak Rahmani et.al.	Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media
Babak Rahmani et.al.	Multimode optical fiber transmission with a deep learning network