معرفی
Bobak Jack Mortazavi is an Associate Professor in the Department of Cardiovascular Medicine at Yale School of Medicine, affiliated with the Center for Outcomes Research & Evaluation (CORE). He holds a PhD in Computer Science from UCLA and focuses on applying machine learning and embedded systems to clinical data analysis. His research spans wearable sensor development, predictive modeling in cardiology, and AI-driven healthcare solutions.
Education: B.A. Applied Mathematics & B.S. Electrical Engineering/Computer Science (UC Berkeley, 2007); M.S. Electrical Engineering (UC Irvine, 2009); Ph.D. Computer Science (UCLA, 2014).
Research interests include medical data analytics, cardiovascular AI applications, and wearable sensor frameworks for clinical monitoring. He has published widely on topics like ECG analysis, glucose prediction algorithms, and telehealth systems.
Recent work highlights include developing the Pulse2AI framework for clinical sensor data standardization and studies on hypertension management using AI. Awards include the 2012 IEEE Best Demonstration Award for BSN research.
Labs/Teams: Active member of Yale's CORE and collaborates with teams in cardiovascular informatics. Engages in peer review for journals like IEEE Transactions and serves on conference review committees.
