Bobak J. Mortazavi
Scholar

Bobak J. Mortazavi

Google Scholar ID: TOAg4GkAAAAJ
Computer Science & Engineering, Texas A&M
machine learningembedded systemswearable sensorsclinical outcomes researchinternet of things
Citations & Impact
All-time
Citations
4,053
 
H-index
30
 
i10-index
69
 
Publications
20
 
Co-authors
62
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Team members have had three papers accepted at BHI 2024; published a dataset called CGMacros, now available on PhysioNet; PhD students successfully defended their dissertations.
Research Experience
  • Led or participated in several smart medical IoT projects, including the development of personalized digital health systems, analysis of IoMT data, and translational clinical outcomes research.
Background
  • Focuses on the intersection of machine learning, embedded systems, and clinical outcomes research to develop new technologies that can improve patient care and personal health.
Miscellany
  • Part of the Computer Science and Engineering Department at Texas A&M University; looking for passionate new PhD, Master's, and undergraduate students to join the team.