Kamyar Azizzadenesheli
Scholar

Kamyar Azizzadenesheli

Google Scholar ID: Odek140AAAAJ
Nvidia
Machine Learning
Citations & Impact
All-time
Citations
17,988
 
H-index
44
 
i10-index
100
 
Publications
20
 
Co-authors
189
list available
Contact
Resume (English only)
Academic Achievements
  • No specific details provided about academic achievements such as publications or awards.
Research Experience
  • Senior Research Scientist at Nvidia since Summer 2022; Assistant Professor at Purdue University, Department of Computer Science from Fall 2020 to Fall 2022; Postdoctoral Scholar in the Department of Computing + Mathematical Sciences at Caltech; Special Student Researcher and Visiting Student Researcher at Caltech; Former Visiting Student Researcher at Stanford University; Researcher at Simons Institute, UC Berkeley; Guest Researcher at INRIA France (SequeL team); Visitor at Microsoft Research Lab, New England, and New York.
Education
  • Received his Ph.D. at the University of California, Irvine.
Background
  • His research interest is mainly in the area of Machine Learning, including but not limited to ML on function spaces, Reinforcement Learning, Applied Mathematics, Deep Learning, Neural Operators, Control Theory, Spectral Method, Optimization, High Dimensional Statistics, Risk Assessment, Online learning, Domain Shift, Active Learning, Safety, Adversarial Attacks, and Generative models through both learning theory and core scientific lenses.