Dr. Farshad Firouzi is a faculty member and technology entrepreneur with over a decade of experience at the intersection of academia, industry, and innovation. He has held research and academic positions at Duke University, Arizona State University (ASU), imec, and IBM. He has authored more than 90 peer-reviewed publications, edited three scholarly volumes, and served as Principal Investigator on multiple high-impact research projects funded by the National Science Foundation (NSF), the Semiconductor Research Corporation (SRC), and other funding agencies. His research interests span artificial intelligence, edge AI, Internet of Things (IoT), microelectronics, and smart and connected health. Dr. Firouzi’s work combines foundational research with translational impact, driving innovation across critical sectors including semiconductors, automotive systems, advanced manufacturing, and digital healthcare. He is recognized for his leadership in shaping emerging research communities. Dr. Firouzi serves on editorial boards such as the IEEE Internet of Things Journal, contributes to the technical program committees of premier conferences including DAC, ICCAD, and DATE, and is the co-founder of the IEEE COINS conference. Dr. Bahar Farahani received her Ph.D. in Computer Engineering from the University of Tehran and is currently an Assistant Professor at the Cyberspace Research Institute, Shahid Beheshti University. Her research spans artificial intelligence, privacy-preserving machine learning, big data analytics, Internet of Things (IoT), Artificial Intelligence of Things (AIoT), and smart and connected health. She has published over 60 peer-reviewed articles in these areas. In addition to her academic work, Dr. Farahani has extensive experience in research consulting, technology strategy, and the development of data-driven solutions across sectors such as healthcare, smart infrastructure, industrial IoT systems, and AI-integrated platforms. She has held leadership and service roles in the research community, including program chair, session chair, and technical program committee member for international conferences, as well as guest editor for journals such as the IEEE Internet of Things Journal. She was recognized among the world’s top 2% most-cited scientists in both 2023 and 2024, according to a global citation analysis conducted by researchers at Stanford University. Krishnendu Chakrabarty (Fellow, IEEE) received the B.Tech. degree from Indian Institute of Technology Kharagpur, Kharagpur, India, in 1990, and the M.S.E. and Ph.D. degrees from the University of Michigan at Ann Arbor, Ann Arbor, MI, USA, in 1992 and 1995, respectively. He is currently the Fulton Professor of Microelectronics in the School of Electrical, Computer and Energy Engineering, Arizona State University (ASU), Tempe, AZ, USA, where he is also the Chief Technology Officer (CTO) of the Department of Defense Microelectronics Commons Southwest Advanced Prototyping (SWAP) Hub and the Director of the ASU Center on Semiconductor Microelectronics. Prof. Chakrabarty is a fellow of ACM and American Association for the Advancement of Science (AAAS), and a Golden Core Member of the IEEE Computer Society.

• Introduction to smart and connected healthcare.- Architecting internet of medical things.- Service and process engineering.- Smart sensor technologies and wearable iot for healthcare.- Big data management for healthcare.- Ai for Healthcare.- Medical imaging.- Speech recognition systems in healthcare.- Natural language processing and large language models in healthcare.- Explainable ai in healthcare.- Intervention and recommendation systems.- Distributed ledger technologies and blockchain for biomedical and healthcare Applications.- The convergence of iot ai edge fog cloud computing and blockchain.- Sensitive healthcare data privacy and security issues and solutions from federated learning to differential privacy.- Interoperability in healthcare.- Sch data monetization.