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Main Research Directions
Machine Learning (ML) & Medical Informatics
ML/AI in Health/Medical Applications and IoT Systems, Health/Medical Informatics, and Brain-Inspired ML/AI
Edge AI & TinyML
for Mobile Health
Energy-Efficient and Real-Time Personalized Health Monitoring with m-Health & Wearables, Edge/Embedded/TinyML
Federated Learning for Internet of Things (IoT)
Distributed/Federated Learning and Decentralized Inference for Intelligent IoT and Networked Intelligent Systems
Trustworthy ML &
Safety and Privacy
Trustworthy (Robust, Safe, and Privacy Preserving) AI/ML in Medical and Safety-Critical Applications & IoT Systems
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