Smith Khare

Smith Khare is an Assistant Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark, specializing in Applied AI and Data Science. He is affiliated with the Centre for Clinical AI (CAI-X) in Odense and contributes to healthcare analytics through interdisciplinary research.

• Ph.D. in Electronics and Communication Engineering (2022) from IIITDM Jabalpur
• M.Tech in Electronics and Telecommunication Engineering (2015) from Veermata Jijabai Technological Institute

His research focuses on explainable AI, deep learning, and signal processing for healthcare applications. Key areas include medical imaging, neurological disorder detection, and biomedical signal analysis. His work integrates AI with clinical diagnostics to improve early disease identification.

Smith’s recent publications emphasize explainable AI in cervical cancer screening, liver segmentation, and neurological conditions like Alzheimer’s and Parkinson’s. He combines deep learning with optimization algorithms and hardware implementation for medical IoT systems.

• Best Paper Award, IEEE Sensors Journal (2024)

He teaches courses such as Artificial Intelligence for Healthcare Data and Tools of Artificial Intelligence, and mentors students in AI-driven healthcare projects. His collaborations span institutions like Karolinska Institute (KI) and Odense University Hospital (OUH).