ISI Directory
Mohammad Rostami, Ph.D.
Education
PhD, Electrical and Systems Engineering, UPenn
MS, Robotics, UPenn
MA, Philosophy, UPenn
MS, Electrical and Computer Engineering, University of Waterloo
BS, Electrical Engineering, Sharif University of Technology
BS, Pure Mathematics, Sharif University of Technology
Bio
Mohammad Rostami is a faculty member at the USC Department of Computer Science and a Research Scientist at the USC Information Sciences Institute. His research focus is on machine learning in data-scarce regimes, including domain adaptation and low-shot learning, and improving efficiency of learning, including, continual learning and collective learning.
Research Summary
- Lifelong, Transfer, and Multitask Learning
- Zero-Shot Learning and Few-Shot Learning
- Sparse representations and Compressive Sensing
- Image and Video Quality Assessment
Awards
- IJCAI Distinguished Student Paper Award
- University of Waterloo Outstanding Graduate Achievement Award