Fardad Dadboud

• Ph.D. candidate, University of Ottawa
  
• Member of UAV Research Group and CARG

Contact

Fardad.Dadboud@uottawa.ca
google scholar

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 hold a 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!