Sharif University of Technology logo

B.Sc. in Mathematics

B.Sc. in Electrical Engineering

September 2010 - August 2015

Princeton University logo

M.A. in Electrical Engineering

September 2015 - September 2017

Ph.D. in Electrical and Computer Engineering

September 2017 - July 2021

Awards and Honors

  • Leverhulme Early Career Fellowship from the Leverhulme Trust and the Isaac Newton Trust (2023-present)
  • Teaching Assistant Award from the Department of Electrical and Computer Engineering at Princeton University (2019)
  • Anthony Ephremides Fellowship from the Graduate School at Princeton University (2016)
  • Iranian Mathematical Olympiad Bronze Medal (2009)
  • Winner of the Tournament of Towns: International mathematical contest certified by the Russian Academy of Sciences (2009)
  • Membership of the Iranian National Elite Foundation (2009-present)


  • A. R. Asadi & V. Jog. (2024) Rational Differential Privacy. (In Preparation)
  • A. R. Asadi & P. Loh. (2024) Entropic Regularization of Neural Networks: Self-Similar Approximations. To appear in Journal of Statistical Planning and Inference
  • A. R. Asadi & P. Loh. (2023) On the Gibbs Exponential Mechanism and Private Data Generation. 2023 IEEE International Symposium on Information Theory (ISIT)
  • A. Pensia, A. R. Asadi, V. Jog & P. Loh. (2023) Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints. 2023 Conference on Learning Theory (COLT) (arXiv preprint arXiv:2301.03566). [Link]
  • A. R. Asadi. (2023) An Entropy-Based Model for Hierarchical Learning. arXiv preprint arXiv:2212.14681. (Submitted for Publication) [Link]
  • A. R. Asadi & E. Abbe. (2020) Maximum Multiscale Entropy and Neural Network Regularization. arXiv preprint arXiv:2006.14614. (Submitted for Publication) [Link]
  • A. R. Asadi & E. Abbe. (2020) Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks. Journal of Machine Learning Research, 21(139), pp. 1-32. [Link]
  • A. R. Asadi, E. Abbe, & S. Verdú. (2018) Chaining Mutual Information and Tightening Generalization Bounds. Advances in Neural Information Processing Systems (NeurIPS), pp. 7245-7254. [Link]
  • A. R. Asadi, E. Abbe, & S. Verdú. (2017) Compressing Data on Graphs with Clusters. IEEE International Symposium on Information Theory (ISIT) pp. 1583-1587. [Link]
  • M. Asadi, A. R. Asadi. (2014) On the Failure Probability of Used Coherent Systems. Communications in Statistics, Theory and Methods, Vol. 43, pp. 2468-2475. [Link]
  • A. R. Asadi. (2013) Problem 96.J with solution. The Mathematical Gazette, Vol. 97, No. 539, pp. 345-346, United Kingdom. [Link]

Ph.D. Dissertation

  • A. R. Asadi (2021) Neural Network Learning: A Multiscale-Entropy and Self-Similarity Approach. (Princeton University)


  • Department of Mathematical Sciences, Durham University, UK, May 2023
  • Department of Mathematics and Statistics, Lancaster University, UK, February 2023
  • Statistical Laboratory, University of Cambridge, UK, February 2023
  • Department of Computer Science, ETH Zürich, Switzerland, February 2021
  • NSF-Simons Collaboration on the Theoretical Foundations of Deep Learning, December 2020
  • Department of EECS, Massachusetts Institute of Technology, December 2020
  • Center for Data Science, New York University, June 2020
  • Laboratoire de Physique, École Normale Supérieure, Paris, May 2020
  • Department of Statistical Sciences, University of Toronto, Canada, April 2020
  • Department of Engineering, University of Cambridge, UK, March 2020
  • Institute for Advanced Study, Princeton, New Jersey, October 2019 [YouTube Link]
  • Microsoft Research AI, Redmond, Washington, September 2019

Workshop Organization


I enjoy staying active through exercise and watching sports, with a particular passion for football, Formula 1, and tennis. Additionally, I like playing table tennis. I take pleasure in reading poetry, particularly works by Saadi and Hafez.