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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/AL

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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