Rahmatollah Beheshti
Scholar

Rahmatollah Beheshti

Google Scholar ID: hi0U4RwAAAAJ
Associate Professor, University of Delaware
Machine LearningHealth AIElectronic Health RecordsObesity
Citations & Impact
All-time
Citations
720
 
H-index
14
 
i10-index
20
 
Publications
20
 
Co-authors
27
list available
Resume (English only)
Academic Achievements
  • Program Committee member for top-tier conferences such as AAAI, AAMAS, AMIA, BCB, IJCAI, ICLR, ICML, CCS, CHIL, MLHC, ML4H, NeurIPS, etc.
  • Reviewer for journals like American Journal of Epidemiology, Appetite, BMC Medical Informatics and Decision Making, International Journal of Behavioral Nutrition and Physical Activity, International Journal of Computer Assisted Radiology and Surgery, International Journal of Medical Informatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of AI and Society, Journal of Autonomous Agents and Multi-Agent Systems, Journal of Physical Activity & Health, Journal of Medical Internet Research, Journal of Nutrition, Lancet Digital Health, npj Digital Medicine, Pattern Recognition Letters, Patterns, Symmetry
Research Experience
  • Associate Professor, University of Delaware, Department of Computer & Information Sciences, Epidemiology Program (Joint), Data Science Institute (Resident)
  • Research Faculty, Nemours Children’s Health
  • Teaching: Advanced Deep Learning, Artificial Intelligence, Data Mining, Human-Centered AI
Education
  • Ph.D. - Computer Science, University of Central Florida, 2011-2015
  • Postdoc - Johns Hopkins Bloomberg School of Public Health, 2015-2018
  • M.Sc. - Artificial Intelligence, Iran University of Science and Technology, 2008-2011
  • B.Sc. - Computer Software Engineering, Kharazmi University, 2004-2008
Background
  • Research interests include Machine Learning and Health AI. Directs the healthy lAife lab at UD. With a PhD in Computer Science and postdoc in Public Health, focuses on developing reliable large language models for various healthcare applications. Teaches Artificial Intelligence, Human-Centered AI, Data Mining, and Advanced Deep Learning at UD.
Miscellany
  • Personal interest: Pursuing 'net positive tech' for human well-being