- Ph.D. candidate, University of Ottawa
- Member of UAV Research Group and CARG
Bio
Currently, Fardad is a Ph.D. candidate at the University of Ottawa’s School of Electrical Engineering and Computer Science (SEECS). His research is supervised by Professor Miodrag Bolic. He also holds an M.Sc. in Biomedical Engineering from Sharif University of Technology.
Research Interests
His research interests lie at the intersection of computer vision, deep learning, and machine learning, with a specific focus on autonomous vehicles. Currently, He’s deeply engaged in addressing challenges related to domain shift, out-of-distribution detection, and unsupervised or test-time domain adaptation.
- Meta-Learning
- Out-of-Distribution (OOD) Detection
- Test-Time Adaptation
- Unsupervised Domain Adaptation/Generalization
- Video Understanding
- Object Detection and Tracking
- Uncertainty Evaluation
- Resilient AI
Visit his webpage for a deeper dive or to have a chat!