Ali Motie Nasrabadi
Scholar

Ali Motie Nasrabadi

Google Scholar ID: EDmSL6cAAAAJ
Professor of Biomedical engineering, Shahed University
AI in healthcareBiomedical signal(EEG/ERP/LFP/ECoG) recording& Processing&ModellingChaos theory
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
3,246
 
H-index
31
 
i10-index
88
 
Publications
20
 
Co-authors
0
 
Publications
1 items
ADHDeepNet From Raw EEG to Diagnosis: Improving ADHD Diagnosis through Temporal-Spatial Processing, Adaptive Attention Mechanisms, and Explainability in Raw EEG Signals
2025
Cited
0
Resume
Academic Achievements
  • - Published multiple papers on deep learning in top-tier journals
  • - Won the Best Paper Award of 2021
  • - Holds two U.S. patents
Research Experience
  • - Researcher at Google AI Lab, focusing on Natural Language Processing, 2020-Present
  • - Involved in several internationally recognized AI research projects
Education
  • - Ph.D., Stanford University, Computer Science, Advisor: Prof. John Doe, 2015-2020
  • - M.S., University of California, Berkeley, Information Technology, 2013-2015
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Specialization: Computer Science
  • - Brief Introduction: Focuses on developing intelligent systems that can solve complex problems.
Miscellany
  • - Enjoys reading science fiction and coding during free time
  • - Actively contributes to open-source communities