Aswin Raghavan
Scholar

Aswin Raghavan

Google Scholar ID: Ss2KBccAAAAJ
SRI International
Reinforcement LearningMachine LearningArtificial IntelligenceDeep LearningComputer Vision
Citations & Impact
All-time
Citations
564
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications: Presented papers at Automatic Target Recognition XXXV on SAR ATR and at ICCRTS 2024 on multi-agent reinforcement learning; Awards: Best demo award at IJCAI 2018; Honorable mention for the Best Dissertation award at ICAPS 2018.
Research Experience
  • Worked at the Computer Vision Technologies group at SRI International; interned at Indian Institute of Technology (Madras) and Indian Institute of Management (Bangalore); participated in multiple research projects, including speaking at DARPA ERI Summit and giving a tutorial at IEEE ICCE-2024.
Education
  • Ph.D. in Computer Science from Oregon State University, Corvallis, USA, in January 2017, advised by Prof. Prasad Tadepalli.
Background
  • Research interests include lifelong learning, deep learning, and reinforcement learning. Focus on adapting large pre-trained models to different applications and users.
Miscellany
  • Involved in developing Aesop: A Visual Storytelling Platform for Conversational AI, which was demonstrated at the 50th anniversary homage to Doug Engelbart's The Mother of All Demos.
Co-authors
0 total
Co-authors: 0 (list not available)