Research Experience

Research Assistant

Sharif University of Technology
Jan. 2024 – Present
Tehran, Iran

• Knowledge Distillation for Semantic Segmentation at Image Processing Lab, under the supervision of Professor Sh. Kasaei and Mr. A. Mansourian
• Using Kl divergence and other losses on eigenvectors of inputs for teacher and student model after Laplacian transform

Scientific Intern

Institute of Science and Technology Austria (ISTA)
Jul. 2024 – Sep. 2024
Klosterneuburg, Austria

• GWAS analysis via vector approximate message passing under the supervision of Prof. M. Mondelli and Prof. Mathew Robinson
• Re-deriving the VAMP formula for marginal estimates of X^TX and benchmarking against other baselines

Research Assistant Intern

EPFL & HEIG-VD
Sep. 2023 – Dec. 2023
Lausanne, Switzerland

• Machine Learning in Rehabilitation at Data Science Lab, under the supervision of Prof. A. Perez-Uribe and Mrs. Y. Izadmehr
• Using Computer Vision methods such as YOLO, Mediapipe, and MiDas for frame feature extraction and classification via classical Machine Learning methods

Research Assistant

Chinese University of Hong Kong (CUHK)
Jul. 2023 – Sep. 2023
Hong Kong, Hong Kong SAR

• Analyzing access control systems with automated reasoning at Information Engineering Lab, under the supervision of Professor Sze Yui Chau

Research Interests

• Machine Learning
• Statistics
• Deep Learning Theory
• Large Language Models
• Natural Language Processing
• Computer Vision

Ongoing Publications

• LLMs Citation Benchmark
  A. Nazari, I. Hashemi Rad, Sh. Salehi, M. Lotfian, S. Najafi, A. Fakhimi, E. Asgari

• Genome-wide analysis of multi-ancestry summary statistics using vector approximate message passing
  A. Depope, M. Lotfian, J. Bajzik, M. Mondelli and M. R. Robinson