Iman Azimi

Dr. Iman Azimi is a Postdoctoral Scholar at the Donald Bren School of Information & Computer Sciences, University of California, Irvine. Their work focuses on advancing healthcare through wearable technology, machine learning, and IoT systems. Key areas include maternal health monitoring, physiological signal analysis, and AI-driven health solutions.

Research interests span health informatics, biomedical signal processing, and personalized medicine. Notable projects include long-term maternal monitoring using IoT devices and LLM-powered agents for physiological data analysis. Azimi also explores causal ML approaches to understand health impacts of lifestyle factors during pregnancy.

Recent work demonstrates contributions in smartwatch-based vital sign estimation, explainable AI for wearable data, and privacy-preserving mental health monitoring systems. Their research bridges computational methods with clinical applications, aiming to improve patient outcomes through innovative technology integration.

Key platforms developed include ZotCare and PHAS, showcasing edge-assisted healthcare systems and open-source analytics stacks. Current efforts emphasize leveraging large language models and transformers for healthcare insights while addressing ethical AI challenges in medical chatbots.