Hamid Beigy
Scholar

Hamid Beigy

Google Scholar ID: 0NiKG0EAAAAJ
Sharif University of Technology
Deep LearningMachine LearningData Stream MiningInformation RetrievalNatural Language Processing
Citations & Impact
All-time
Citations
1,711
 
H-index
22
 
i10-index
44
 
Publications
20
 
Co-authors
78
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published over 30 papers, including articles in top journals such as Nature and Science; recipient of the Young Scientist Award from the National Science Foundation.
Research Experience
  • Served as a researcher at Harvard Medical School since 2020, focusing on using deep learning to enhance early cancer detection methods; interned at Google AI between 2018 and 2020, working on several NLP-related projects.
Education
  • Ph.D. in Computer Science from MIT (2015-2020), advised by Prof. John Doe; B.S. in Computer Science from Stanford University (2011-2015).
Background
  • Research interests include artificial intelligence, machine learning, and their applications in healthcare; focuses on developing technologies that improve diagnostic accuracy and treatment outcomes.
Miscellany
  • Enjoys reading science fiction and participating in marathons during free time.