Dorsa Fathollahi

Dorsa Fathollahi

PhD student at Stanford University

About me

I am currently a fourth year PhD student at Stanford University Electrical Engineering department. I am very fortunate to be advised by Professor Mary Wootters. Previously I was at the Institute of Science and Technology Austria, where I had the great pleasure to work with Professor Marco Mondelli. I was computer science undergraduate student at the Sharif University of Technology. There I worked on Combinatorial aspects of Index Coding under the supervision of Professor Javad Ebrahimi.

I am generally curious about intersection of computation, privacy and fault resilience. My main areas of interest include,

  • Interactive Communication
  • Distributed Computing
  • Information Theory and Coding Theory

Previously I have worked on,

  • Reed-Muller Codes and Polar Codes (ISTA)
  • Embedded System and Fault Protection (RUB)
  • Index Coding (SUT)
  • Dominating Sets of Graphs. (SUT)

In the non-academic side of life I enjoy photography and experimenting with making coffee. Let me know if you know of an interesting café in bay area ;)

NEWS

  • April 2024 Paper “Improved Construction of Robust Gray Codes” accepted at the 2024 IEEE International Symposium on Information Theory (ISIT’22).
  • Jan-May 2024 At Simons Institute for Error-Correcting Codes: Theory and Practice Program.
  • June 2022 Talk at ISIT 2022 “Polar Coded Computing: The Role of the Scaling Exponent”
  • June 2022 Academic Visiting at IST Austria.
  • April 2022: Paper “Polar Coded Computing: The Role of the Scaling Exponent” accepted at the 2022 IEEE International Symposium on Information Theory (ISIT’22).
  • January 2022: Preprint on “Polar Coded Computing: The Role of the Scaling Exponent”
  • September 2021: Joined Stanford University EE department.

  • July 2021: Talk on “Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes” at the 2021 IEEE International Symposium on Information Theory (ISIT’21).

  • April 2021: Paper “Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes” accepted at the 2021 IEEE International Symposium on Information Theory (ISIT’21).