About
I'm a first-year Ph.D. student in Computer Engineering at the University of Maryland, College Park, working 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 is dedicated to building trustworthy, safety-critical AI systems that people can rely on. Currently, I pursue two complementary lines of work:
- Behavior-informed trajectory forecasting for autonomous vehicles, where models learn human driving styles to support robust interaction with other road users.
- Efficiency-versus-safety trade-offs in learning-based algorithms, investigating how to balance resource use and risk management in critical applications.
Together, these efforts aim to advance AI that not only performs well across diverse real-world scenarios but also upholds the rigorous safety guarantees needed for human trust.
Publications
- Quantifying and Modeling Driving Styles in Trajectory Forecasting, Laura Zheng*, Hamidreza Yaghoubi*, Tony Wu, Sandeep Thalapanane, Tianyi Zhou, and Ming C. Lin, Accepted at IROS 2025.
- Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation, Fahimeh Hosseini Noohdani, Parsa Hosseini, Aryan Yazdan Parast, Hamidreza Yaghoubi, Mahdieh Soleymani Baghshah, CVPR 2024.
- Annotation-Free Group Robustness via Loss-Based Resampling, Mahdi Ghaznavi, Hesam Asadollahzadeh, Hamidreza Yaghoubi, Fahimeh Hosseini Noohdani, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah, OOD-CV at ICCV 2023.
Work Experiences
Data Scientist, TAPSI
Tehran, Iran | Feb 2021 - Feb 2023
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.
Academic Service
ICLR 2025