Hi,
I am Babak Rahmani, a Research Postdoc at Microsoft Research in Cambridge UK, where I am doing research on the applications of machine learning for optmization techniques.
Before that, I was a Ph.D. student at the Electrical Engineering department of EPFL where I was supervised by Christophe Moser and Demetri Psaltis working at the intersection of machine learning and sciences for applications such as inverse problems, information retrieval and control systems. My goal was to build robust and reliable machine learning algorithms for controlling real-world complex systems in various disciplines ranging from communication, imaging systems to neuroscience.
News
2023
- Nov Papers: “Backpropagation-free Training of Deep Physical Neural Networks” accepted to Science!
2022
- Sep Papers: paper accepted to NeurIPS 2022.
- Jul Job started: Postdoc Researcher at Microsoft Research Cambridge, UK.
- Mar Ph.D. completed: EDEE, EPFL. Thesis nominated for two awards. TBD!
2021
- Oct Papers: paper accepted to NeurIPS ML4PhysicalSciences workshop 2021.
2020
- Jul Papers: paper accepted to Nature Machine Intelligence 2020. News coverage and interview.
2019
- Dec Media: paper “Multimode optical fiber transmission with a deep learning network” was recognized as one of the top downloaded papers in Nature journal: Light science.