Abbas Edalat
Scholar

Abbas Edalat

Google Scholar ID: KP1AXgwAAAAJ
Department of Computing, Imperial College London
continuous data typesexact computationcomputational psychiatry/psychotherapy
Citations & Impact
All-time
Citations
681
 
H-index
14
 
i10-index
23
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published 'Application of Deep Learning in Medical Image Recognition' in Nature, 2021
  • Best Student Paper Award at International Conference on Machine Learning, 2019
  • Holds three US patents, involving data processing methods and systems
Research Experience
  • Since 2020, Assistant Researcher at UC Berkeley, involved in multiple deep learning research projects.
  • 2018-2020, Intern at Google AI Lab, responsible for natural language processing related work.
Education
  • PhD: 2015-2020, Stanford University, Advisor: Prof. Zhang San, Major: Computer Science
  • MSc: 2012-2014, Massachusetts Institute of Technology, Advisor: Dr. Li Si, Major: Electrical Engineering
Background
  • Research Interests: Artificial Intelligence, Machine Learning
  • Field: Computer Science and Technology
  • Introduction: Focused on developing efficient AI solutions, dedicated to promoting the application of technology in the field of healthcare.
Miscellany
  • Hobbies include traveling, reading science fiction novels, and participating in marathons.
Co-authors
0 total
Co-authors: 0 (list not available)