My full resume could be find here

Education

• Ph.D in Electrical Engineering with a focus on data driven system characterization using deep learning and inverse problems in computational imaging, EPFL, Switzerland, 2022.
• M.S. in Electrical Engineering with a focus on sub-wavelength particle physics, Sharif University of Technology, Iran, 2016.
• B.S. in Electrical Engineering with a focus on system and communication, University of Tehran, Iran 2014.

Work experience

• Postdoc Researcher: Microsoft Research, Cambridge.
  • Duties included: Design of machine learning methods for learning and optimization for NP hard problems.

Selected Publications

Multimode optical fiber transmission with a deep learning network

Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media

Variational framework for partially-measured physical system control

Natural image synthesis for the retina with variational information bottleneck representation

Backpropagation-free Training of Deep Physical Neural Networks

An actor-model framework for visual sensory encoding

Selected Talks

Partially-measured physical system characterization with neural networks

August 01, 2021

Invited Talk at Emerging Topics in Artificial Intelligence, SPIE 2021, San Diego, California

Variational framework for partially-measured physical system control

December 06, 2021

Poster presentation at NeurIPS 2021, ML4PhysicalSciences, Virtual

Natural image synthesis for the retina with variational information bottleneck representation

November 19, 2022

Poster presentation at NeurIPS 2022, New Orleans, USA