Short CV

Education

• Massachusetts Institute of Technology (MIT)
  • Doctor of Philosophy (PhD) in Electrical Engineering and Computer Science
  • 2023 - Present
• Sharif University of Technology (SUT)
  • Bachelor of Computer Engineering
  • 2018 – 2023

Honors and Awards

• Awarded Irwin Mark Jacobs and Joan Klein Jacobs MIT Presidential Fellowship (2023)
• Selected among the top 6 exceptional talents for the merit-based admission offer to the Artificial Intelligence graduate program at Sharif University of Technology (2022)
• Awarded scientific intern fellowship at Institute of Science and Technology Austria - ISTA (2022)
• Awarded research intern fellowship at Max Planck Institute for Software Systems - MPI-SWS (2021)
• Awarded bronze Medal in Iran’s National Mathematical Olympiad (2016)

Research experience

• Graduate Research Assistant, Fall 2023 - Present
  • Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology (MIT)
  • Supervisor: Professor Mohammad Alizadeh
  • Ph.D. student in the Network and Mobile Systems Group (NMS).
• Scientific Intern, Summer 2022
  • Distributed Algorithms and Systems Lab, Institute of science and technology Austria (ISTA)
  • Supervisor: Professor Dan Alistarh
  • Sparse Transfer Learning: Using pruning methods to perform computationally efficient transfer learning on large models. (link)
• Research Intern, Summer 2021
  • Networks Learning Lab, Max Planck Institute for Software Systems
  • Supervisor: Professor Manuel Gomez Rodriguez
  • Counterfactual Temporal Point Processes: Developed a new method to simulate counterfactual realizations of the temporal point process under an alternative intensity function. (link)
• Undergraduate Researcher (Online), Fall 2020 - Spring 2022
  • Artificial Intelligence and Systems Laboratory (AISys), University of South Carolina
  • Supervisor: Professor Pooyan Jamshidi
  • Symbolic Mathematics: Method improvement utilizing the machine translation techniques as well as the transfer learning to enhance current mathematical proving approaches. (link)
• Undergraduate Research Assistant, Spring 2021 - Spring 2022
  • Image Processing Laboratory (IPL), Sharif University of Technology
  • Supervisor: Professor Shohreh Kasaei
  • LPF-Defense via 3D Adversarial Defense based on Frequency Analysis: Introduced a state-of-the-art method for defense against adversarial attacks in point clouds. (link)
• Undergraduate Research Assistant, Fall 2020 - Spring 2021
  • Graph Theory research Group, Sharif University of Technology
  • Supervisor: Professor Saieed Akbari
  • Graph Dominating Sets: Working on regular dominating sets and $(r,\, s)$-dominating sets conjectures.
  • The work also included presenting tutorials about recent publications in graph theory in the Graph Theory Association (Link to my tutorial on Perfect Forests.).

Skills

• Programming Languages: Python, R, Java, C, Racket
• Machine Learning Libraries: PyTorch, Tensorflow
• Word Processors: Microsoft Office, LaTeX
• Miscellaneous: PostgreSQl

Languages

• Persian: Native
• English: Fluent (Toefl IBT: 111/120 (R: 26, L: 30, S: 28, W: 27))