About me

I am a fourth year Ph.D student of Electrical Engineering at Caltech where I am grateful to be advised by Babak Hassibi. I am interested in the theory of deep learning, random matrix theory, control theory, and signal processing.

I received my M.Sc degree in Electrical Engineering from California Institute of Technology in 2024 and my B.Sc in Electrical Engineering and Mathematics from Sharif University of Technology in 2022.

Publications

  • One-Bit Quantization for Random Features Models
    Danil Akhtiamov*, Reza Ghane*, and Babak Hassibi
    Under review
    [Arxiv]
  • A Precise Performance Analysis of the Randomized Singular Value Decomposition
    Danil Akhtiamov*, Reza Ghane*, and Babak Hassibi
    2025 Allerton Conference on Communication, Control, and Computing
    [Arxiv]
  • Beyond Quadratic Costs: A Bregman Divergence Approach to H∞ Control
    Joudi Hajar, Reza Ghane, and Babak Hassibi
    64th IEEE Conference on Decision and Control (CDC 2025)
    [Arxiv]
  • Beyond Quadratic Costs in LQR: Bregman Divergence Control
    Babak Hassibi, Joudi Hajar, and Reza Ghane
    64th IEEE Conference on Decision and Control (CDC 2025)
    [Arxiv]
  • Robust Mean Estimation With Auxiliary Samples
    Barron Han*, Danil Akhtiamov*, Reza Ghane*, and Babak Hassibi
    [Arxiv]
  • Gaussian Universality for Diffusion Models
    Reza Ghane*, Anthony Bao*, Danil Akhtiamov*, and Babak Hassibi
    IEEE Signal Processing Letters [Arxiv]
  • Universality in Transfer Learning for Linear Models
    Reza Ghane*, Danil Akhtiamov*, and Babak Hassibi
    Neural Information Processing Systems (NeurIPS) 2024
    [Arxiv]
  • One-Bit Quantization and Sparsification for Multiclass Linear Classification via Regularized Regression
    Reza Ghane*, Danil Akhtiamov*, and Babak Hassibi
    IEEE Transactions on Signal Processing (2025)
    [IEEE], [Arxiv]
  • A Novel Gaussian Min-Max Theorem and its Applications
    Danil Akhtiamov*, David Bosch*, Reza Ghane*, K Nithin Varma, and Babak Hassibi
    IEEE Transactions on Information Theory (2025).
    [IEEE], [Arxiv]
  • Regularized Linear Regression for Binary Classification
    Danil Akhtiamov*, Reza Ghane*, and Babak Hassibi
    2024 IEEE International Symposium on Information Theory (ISIT) (pp. 202-207)
    [ISIT], [Arxiv]