CV

M.Sc.

• Thesis Title. Deep Multi-Object Tracking by Part-Based Re-Identification in Soccer Matches

B.Sc.

• Thesis Title. Biometric Image Processing for Authentication and Identification of Persons

Research and Develop Position

• Description 1. Developement of a novel relative positional encoding method for length extrapolation of LLMs in next token prediction task by learning context-aware biases.
• Description 2. Development of a comprehensive text detection and recognition system using multimodal VLMs for Persian document analysis.

Research Assistant

• Description 1. The proposal and implementation of a multi-purpose part-based person representation method for part-based tracking of persons in team sport videos.
• Description 2. The proposal and implementation of a pair-wise distillation approach by transferring inter-class similarities for semantic segmentation.

Research Internship

• Description. The development and implementation of a multi-object tracking solution exploiting re-identification descriptors.

TrackLab

• A modular end-to-end tracking framework for research and development.

• Participating as reviewer at CVsports workshop, CVPRW 2024.
• Best paper award at International Conference on Machine Vision and Image Processing 2024.

• Participating as a part of organizer team of SoccerNet 2023 Challenges
• Participating as reviewer in the peer review process for AUT Journal of Electrical Engineering

• Ranked 7th among undergraduate students in Bachelor
• Ranked 10th (top 0.05%) in the National Entrance Exam for M.Sc. degree in Computer Engineering
• Ranked 5th at National Computer Engineering Olympiad

• Ranked in top 1% in the National Entrance Exam for B.Sc. of Iran, among more than 148,000 students in the field of Mathematics and Physics