Miad Faezipour

Dr. Miad Faezipour is an Associate Professor at Purdue University's School of Engineering Technology, affiliated with the Regenstrief Center for Healthcare Engineering (RCHE) and Applied AI Research Center (AARC). She leads the D-BEST lab, focusing on digital/biomedical embedded systems. Her academic journey includes a B.Sc. from the University of Tehran and M.Sc./Ph.D. from the University of Texas at Dallas. Prior to Purdue, she served at the University of Bridgeport for a decade.

Education:

• B.Sc. Electrical Engineering, University of Tehran, Iran (2002)
• M.Sc. Electrical Engineering, University of Texas at Dallas (2006)
• Ph.D. Electrical Engineering, University of Texas at Dallas (2010)
• Postdoctoral Research, University of Texas at Dallas (2010–2011)

Research Interests: Dr. Faezipour's work spans healthcare technology, AI-driven bio-data augmentation, biomedical embedded systems, and medical signal/image processing. She pioneers innovations in AI-based diagnostics, including respiratory health analysis, surgical tool classification, and burn severity assessment. Her labs integrate hardware-software co-design principles with clinical applications.

Key Contributions:

• Developed frameworks for real-time EEG monitoring and sleep stage detection.
• Advanced AI models for medical image segmentation and anomaly detection.
• Designed smart sensing systems for healthcare monitoring in space exploration and respite care.

Labs/Teams: Director of the Digital/Biomedical Embedded Systems & Technology (D-BEST) Laboratory at Purdue, fostering interdisciplinary research in healthcare engineering and AI.