Handbook of AI-Based Models in Healthcare and Medicine (PDF)

working as Postdoctoral Research Fellow at Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Centre, US, received a Ph.D. degree in the Development of Automated Methods for Retinal Optical Coherence Tomography Image Analysis from the National Institute of Technology, Surathkal, India, in 2021 and M.Tech on Signal Processing from National Institute of Technology, Calicut, India, 2013. He received the Best Paper award at the ninth International Conference on Pattern Recognition and Machine Intelligence, PReMI 2021 for the work entitled "Attention-Assisted Patchwise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images" Organized by Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata, India, in December 2021. He attended the 43rd-annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC21). Research fellow on a project entitled "Retinal Cysts Identification and Quantification from Low-SNR Optical Coherence Tomography Scans Using Image Processing Techniques" (funding agency: DST-SERB) from May 2017 to March 2020. He has membership in the professional bodies IEEE, IEEE Signal Processing, Engineering in Medicine and Biology Society, and Internet Society.

He published six articles in peer-reviewed journals and two book chapters. Presently, his main areas of interest include medical image processing, deep learning, GANs and auto-encoders.

Dr. Koppala Guravaiah, working as Assistant Professor at Indian Institute of Information Technology (IIIT-K), Pala, Kerala, India, completed a Ph.D. on the topic of Performance of Routing Protocols in Wireless Sensor Networks using River Formation Dynamics from National Institute of Technology Tiruchirappalli, India. His research interests include the Internet of Things (IoT), wireless sensor networks, MANETs, applications and security aspects in IoT, WSN, and MANETs, and natural language processing. He is an active speaker at various international and national conferences. He contributed as a track chair and session chair for numerous international conferences and workshops and pe0rformed as a technical program committee member for several international conferences. He has published in five journals, eight conferences, and contributed two book chapters in the areas mentioned above. He is a member of various professional research bodies, such as IEEE and ACM.

Dr. G. Kumaravelan currently serves as Associate Professor at Department of Computer Science, School of Engineering and Technology, Pondicherry University, Karaikal Campus, Karaikal, India. He received his M.Tech in Advanced Information Technology and his Ph.D. in Computer Science from Bharathidasan University, Trichy, India, in 2009 and 2013, respectively. He has published more than 25 research papers in reputed international journals indexed in Scopus and SCI and conferences including IEEE, SPRINGER, and ACM. He received two best paper awards in the international conferences organized by the IITs. He has received "Best Teacher Award" from Pondicherry University, based on students' evaluation, for the past six years (2013-14, 2014-15, 2015-16, 2016-17, 2017-18, and 2018-19). He has gained 17 years of rich teaching and research experience. He is an active reviewer in various international conferences and peer-reviewed journals, and has reviewed more than 200 papers. He has acted as a resource person in various FDPs, conferences, and seminars in higher educational institutions. He contributed as a track chair and session chair for numerous international conferences and workshops and performed as a TPC member for several international conferences. His research interests include the Internet of Things, cloud computing, big data analytics, wireless communications, and networking.