About
I'm a second year Ph.D. student in Computer Engineering at the University of Maryland, College Park, working in GAMMA Lab under the supervision of Professor Ming Lin. Previously, I got my B.S. in Computer Engineering from Sharif University of Technology, where I worked with Professor Mahdieh Soleymani, and Professor Mohammad Hossein Rohban.
My research focuses on making AI systems more reliable and safe, especially when they are deployed in real-world, resource-constrained settings. A recurring theme in my work is understanding when models appear accurate on average but behave unexpectedly in important or edge cases.
Publications & Preprints
- Recti-Q: Feature-Space Rectification for Out-of-Distribution-Robust Quantized Perception in Edge Robotics Accepted in IROS 2026
- PolySona: Parameter-Efficient Driving Style Modeling for Trajectory Prediction. Accepted in IROS 2026
- Quantifying and Modeling Driving Styles in Trajectory Forecasting IROS 2025
- Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024
- Annotation-Free Group Robustness via Loss-Based Resampling OOD-CV at ICCV 2023
* denotes equal contribution.
Work Experiences
TAPSI is an Iranian ride‑hailing company similar to Uber, and stands as one of Iran’s largest and most technologically advanced companies. Notable projects I contributed to include:
- Estimated Time of Arrival (ETA): Investigated and developed traffic prediction models, improving ETA accuracy using techniques inspired by industry best practices.
- Location Search Engine: Processed raw data and built an in-house search engine with optimized offline and online metrics.
- GPS Denoising: Applied noise reduction techniques to enhance GPS data quality and reliability for location-based services.
- Destination Suggestion: Built ML models to recommend destinations based on user ride data.