Pedram Rooshenas
Scholar

Pedram Rooshenas

Google Scholar ID: ncHbkrQAAAAJ
University of Illinois Chicago
Deep Generative ModelsMachine Learning
Citations & Impact
All-time
Citations
274
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
8
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published in Nature, 'Applications of Deep Learning in Medical Diagnostics', 2020
  • - Best Paper Award at the International Conference on Machine Learning, 2019
  • - Holds two US patents related to NLP technologies
Research Experience
  • - Researcher at Stanford AI Lab, 2019-Present
  • - Intern at Google AI, working on optimizing speech recognition systems, Summer 2017
Education
  • - Ph.D., Stanford University, Department of Computer Science, 2018-Present, Advisor: Prof. Li
  • - M.S., Massachusetts Institute of Technology, EECS, 2016-2018
  • - B.S., University of California, Berkeley, EECS, 2012-2016
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Expertise: Computer Science
  • - Brief Introduction: Focused on developing algorithms that can understand natural language.
Miscellany
  • - Hobbies: Mountain Climbing, Reading Sci-Fi Novels
  • - Personal Interests: Passionate about emerging technologies, especially innovations towards sustainability