Combining Visual Intelligence and Federated Learning in Smart Healthcare

• #1. 5W+1H Automated Testing in Healthcare: A Case Study
• #2. AI, IoT, and Cognitive Computing for Mental Health Enhancement and Object Detection
• #3. An Innovative Obstacle Detection Smart System for Robot Navigation in Healthcare Industry
• #4. Enhancing Telemedicine Deep Learning-Based Classification of ECG Heartbeats: With Continuous Wavelet Transform for Remote Cardiac Care
• #5. Integrating Machine Learning for Accurate Diagnostics and Real-Time Monitoring for Revolutionizing Healthcare With Visual Intelligence
• #6. Integrating Visual Intelligence With Federated Learning and IoT in Healthcare
• #7. IoT-Enhanced Additive Manufacturing and Federated Learning for Smart Healthcare Systems
• #8. Study on Challenges and Future Prospects of Glomerulus-on-a-Chip: A Pathway for Future Kidney on Chip Technology
• #9. Synergistic Integration of Federated Learning and Visual Intelligence for Disease Diagnosis and Prediction: Next-Gen Healthcare Landscape
• #10. Unleashing Sensors and Wearable Technologies in Gauging Healthcare Transmuting Digital Health Technologies: Nurturing Innovation and Implementations in Human Augmentation
• #11. Wearable Sensors, Real-Time Monitoring and Data Assimilation in Healthcare Resonates

Manisha Guduri is currently a tenure-track Assistant Professor at the Department of Electrical and Computer Engineering, Lawrence Technological University, MI, USA. Previously, she worked as a full-time instructor at the University of Louisiana at Lafayette, USA. She is the author/ coauthor of more than 74 research papers in reputed journals, book chapters, and international conferences. Her research interests include Artificial Intelligence, Biomedical Applications, VLSI/CAD design. She is currently working on VLSI and AI in the biomedical field. She published 5 patents out of which 2 are under FER. She received three patent grants. She is the reviewer of IEEE TVLSI, Microelectronics Journal, IET digital circuits, IEEE Journal of Biomedical and Health Informatics, etc. She has one on-going funded project from the Department of Science and Technology. She is a senior member of IEEE, USA. She is also currently member of various IEEE Societies such as IEEE Young Professionals, IEEE Women in Engineering, Circuits and Systems, Computer Society, Sensor Council, etc. She was IEEE Lafayette Section Chair for 2025. She was IEEE USA Awards and Recognition Committee Member in 2025. She is the Associate Editor- Digital Media of IEEE JETCAS for 2026. She is Associate Editor for IEEE Transactions on Industrial Informatics and the lead guest editor in Special Issue - IEEE Transactions on Consumer Electronics. She is appointed as IEEE WiE CASS representative for 2023 & 2024. She is IEEE WiE DL program Coordinator and IEEE Computer Society Lafayette section Vice Chair for 2024. She has delivered more than 35 invited talk/tutorial speech/expert talk in various platforms like International Conference /technical programs. She has organized 10 international conferences under different roles.

Dr. Chinmay Chakraborty, received a Post-doctoral fellowship at the Federal University of Piauí, Brazil, and also visited the University of Malta in Europe and Chongqing Tech. & Business Univ., China. He is an Associate Professor of KIIT-DU, India. His main research interests include the Internet of Medical Things, AI-ML, Communication & Computing, m-Health/e-health, and Medical Imaging. Dr. Chakraborty has a strong publication record with over 250 articles in peer-reviewed international journals, conferences, and book chapters. He has secured a top 2% position among global scientists by Stanford University in both 2021-24. He has also received a Marie Skłodowska-Curie Actions Europe Fellowship Grant, Horizon 2023, and has been nominated as a "Prominent Young Researcher" at the INAE, SERB, India. He Received Prize Ideation Startup Competition at the ANRF (SERB) - INAE Conclave, 2025. He received BIT BITFAA'24 award, 2024 and nominated as AICTE-Distinguished Professional, 2025.

Prof. Martin Margala , PhD joined the School of Computing and Informatics as Professor and Director in August 2021. Before joining UL Lafayette, from September 2011 to July 2021, Dr. Margala was Professor and Chair of the Electrical and Computer Engineering Department at the University of Massachusetts Lowell and a Co-Director of the Center for Smart Cyber-Physical Systems (SCyPS). He received his PhD degree in Electrical and Computer Engineering from the University of Alberta, Canada (#61 in Global Ranking in North America region; #13 in Global subject specific ranking Electrical and Electronic Engineering in North America region USNews) in the spring of 1998. He is a senior member of ACM, IEEE, and SPIE with more than 50 journal and 200 peer reviewed conference publications in the areas of Design for Testability for Energy Efficient Architectures and Systems, High-Performance Reliable Low-Power Architectures and Reconfigurable Secure Architectures and Systems. Dr. Margala has directed 22 PhD students and 19 MS students, many of whom now hold leading positions in academia and industry. He has served on numerous program committees of international conferences and on workgroups (such as the International Technology Roadmap for Semiconductors) that have a great impact on the future direction of academia and industry.