Mohammad Rostami
Scholar

Mohammad Rostami

Google Scholar ID: Uzx8nLoAAAAJ
University of Pennsylvania
Generative AIContinual LearningDomain Adaptation
Citations & Impact
All-time
Citations
2,680
 
H-index
24
 
i10-index
46
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Recipient of the UPenn Joseph D'16 and Rosaline Wolf Best PhD Dissertation Award, IJCAI Distinguished Student Paper Award, University of Waterloo Outstanding Graduate Achievement Award, Keston Research Award, and ISI Exploratory Research Award. Most publications are listed on Google Scholar.
Research Experience
  • Focused on transfer learning, particularly improving the speed, efficiency, and robustness of machine learning in data-scarce regimes. Current research interests include lifelong/continual learning, domain adaptation, low-shot learning (including zero-shot and few-shot learning), and applications of transfer learning in medicine, healthcare, and remote sensing.
Education
  • PhD from the University of Pennsylvania, advised by Eric Eaton; Master's degree from the University of Waterloo, advised by Zhou Wang; Undergraduate degrees from Sharif University of Technology.
Background
  • A faculty member at the USC Computer Science department with a joint appointment at the ECE department and a Research Lead at the USC Information Sciences Institute. His research interests include lifelong learning, domain adaptation, low-shot learning, and applications of transfer learning techniques.
Miscellany
  • For prospective students interested in joining his group, he suggests reading about his research interests and mentioning his name in the application. He will review all applicants after the application deadline.
Co-authors
0 total
Co-authors: 0 (list not available)