Advances in Health Informatics, Intelligent Systems, and Networking Technologies: Proceedings of HINT 2024

Andrew Jeyabose is an associate professor in the Department of Computer Science and Engineering (CSE) at Manipal Institute of Technology (MIT), Manipal, India, and recently began his postdoctoral research at the University of North Carolina at Chapel Hill in 2024. He received his Ph.D. in 2021 from Vellore Institute of Technology (VIT), Vellore, India, and completed his Bachelor of Engineering (B.E.) in CSE in 2011 and Master of Engineering (M.E.) in 2013 from Anna University, Chennai, India. He is an active researcher who has published over 70 scientific research articles in reputed journals and conferences. He has also served as a speaker at many prestigious conferences worldwide. With over 11 years of teaching experience at undergraduate (UG) and postgraduate (PG) levels, he has supervised numerous projects at various academic levels. His research interests include data privacy, healthcare data analysis, deep learning, machine learning, computer vision, and blockchain technologies.

Valentina Emilia Balas is a full professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. Cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of over 400 research papers in refereed journals and international conferences. Her research interests include intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, and modeling and simulation. She is the editor-in-chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and the International Journal of Computational Systems Engineering (IJCSE). Dr. Balas is a member of EUSFLAT, ACM, a senior member of IEEE, and an active member of several IEEE Technical Committees, including TC – EC, TC-FS (IEEE CIS), and TC – SC (IEEE SMCS).

Steven L. Fernandes began his postdoctoral research at the University of Alabama at Birmingham. There, he worked on NIH-funded projects. He also conducted postdoctoral research at the University of Central Florida. This research included working on DARPA, NSF, and RBC-funded projects. His publications include research articles in highly selective artificial intelligence venues. Dr. Fernandes is a senior IEEE member and AWS educator. His current area of research is focused on developing artificial intelligence techniques to extract useful patterns from big data. This includes robust computer vision applications using deep learning and computer-aided diagnosis using medical image processing.