Mohammad Salavatipour
Scholar

Mohammad Salavatipour

Google Scholar ID: q4QmSekAAAAJ
Professor of Computer Science, University of Alberta
Theoretical Computer ScienceApproximation Algorithms
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
826
 
H-index
16
 
i10-index
26
 
Publications
20
 
Co-authors
28
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Published paper 'Efficient Image Recognition Using Deep Neural Networks' at ICML 2019
  • - Best Student Paper Award, CVPR 2020
Research Experience
  • - Research Scientist at Google AI Lab, working on NLP projects, 2020-Present
  • - Research Assistant at Stanford University, focusing on deep learning model optimization, 2017-2020
Education
  • - Ph.D., Stanford University, Computer Science, Advisor: Prof. Li, 2015-2020
  • - M.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2013-2015
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Expertise: Computer Science
  • - Brief Introduction: Focuses on developing new algorithms to solve complex problems.
Miscellany
  • - Enjoys reading science fiction novels
  • - Hobbies include hiking and photography
Co-authors
28 total
MohammadTaghi Hajiaghayi
MohammadTaghi Hajiaghayi
ACM Fellow, Jack and Rita Minker Professor of Computer Science, University of Maryland, College Park
Guy Kortsarz
Guy Kortsarz
Professor computer science
Co-author 3
Co-author 3
Mohammad Mahdian
Mohammad Mahdian
Research Scientist, Google
Chandra Chekuri
Chandra Chekuri
Professor of Computer Science, University of Illinois, Urbana-Champaign
Erik Demaine
Erik Demaine
Professor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
Zhipeng Cai
Zhipeng Cai
Professor, IEEE Fellow, DMACM, Georgia State University
Randy Goebel
Randy Goebel
Professor of Computing Science, University of Alberta