Computational Intelligence and Its Applications in Healthcare

Dr. Jitendra Kumar Verma is an Assistant Professor in the School of Computing Science and Engineering, Galgotias University, India. He holds a Ph.D. in Computer Science and Technology from Jawaharlal Nehru University, India. He has been a Visiting Research Scholar at Julius-Maximillian University, Wurzburg, Germany. His research interests include cloud computing, mobile cloud, machine learning, soft computing, fuzzy systems, pattern recognition, bio-inspired phenomena, and advanced optimization models and computation. Dr. Sudip Paul presently holds the position of Associate Professor in the Department of Biomedical Engineering at the National Institute of Technology, Raipur, India. He conducted his post-doctoral research at the School of Computer Science and Software Engineering, The University of Western Australia, Perth, under the Biotechnology Overseas Associateship scheme for scientists from the North-Eastern States of India (2017-18), supported by the Department of Biotechnology, Government of India. He obtained his Ph.D. from the Indian Institute of Technology (Banaras Hindu University), Varanasi, specializing in Electrophysiology and brain signal analysis. He organized numerous workshops and conferences, notably the 40th Indian Academy of Neuroscience Annual Meeting in 2022, the IEEE Conference on Computational Performance Evaluation in 2020 and 2021, the IRBO/APRC Associate School in 2017, the IBRO Global Engagement in 2021, the IBRO Meeting in 2021, and the 29th Annual Meeting of the Society for Neurochemistry, India in 2015. Dr. Sudip has published about 60 publications in international and national journals, as well as over 50 conference papers across several international and national platforms. He possesses 7 granted patents and 6 granted copyrights. He has finalized 20 book projects as an editor or author with Springer Nature, Elsevier, IGI Global, and others. Dr. Sudip is a Senior Member of IEEE and belongs to various societies and professional organizations, including IAN, IEEE-EMBS, APSN, ISN, and IBRO. He was honored with numerous accolades, notably the World Federation of Neurology (WFN) traveling fellowship, the Young Investigator Award, the IBRO Travel Award, and the ISN Travel Award. Dr. Sudip also imparted his expertise to other international publications as a member of the editorial board and as a reviewer. He has showcased his research achievements in several nations, including the USA, Greece, France, South Africa, and Australia.Dr. Prashant Johri is a Professor in the School of Computing Science & Engineering, Galgotias University, Greater Noida, India. He received his B.Sc.(H) and M.C.A. from Aligarh Muslim University, Aligarh, and a Ph.D. in Computer Science from Jiwaji University, Gwalior, India. He has also worked as a Professor and Director (M.C.A.), Galgotias Institute of Management and Technology (G.I.M.T.), and Noida Institute of Engineering and Technology (N.I.E.T.) Greater Noida. He has served as Chair in many conferences and affiliated as a member of the program committee in many conferences in India and abroad. He has supervised 10 PhD students and many PG and U G Students for their theses and projects. He has published over 200 scientific articles, including journal papers, book chapters, and conference papers. He has published many edited books with reputable publications. He has organized several conferences/Workshops/Seminars at the national and international levels. He voluntarily served as a reviewer for various International Journals and conferences. His research interests include Artificial Intelligence, Machine Learning, Data Science, Blockchain, Healthcare, Agriculture, Entrepreneurship, Sustainable Development, Image Processing, Software Reliability, and Cloud Computing. He is actively publishing in these areas.

• The impact of Internet of Things and data semantics on decision making for outpatient monitoringDeep-learning approaches for health care: Patients in intensive careBrain MRI image segmentation using nature-inspired Black Hole metaheuristic clustering approachBlockchain for public health: Technology, applications, and a case studyCompression and multiplexing of medical images using optical image processingAnalysis of skin lesions using machine learning techniquesComputational intelligence using ontology—A case study on the knowledge representation in a clinical decision support systemNeural network-based abnormality detection for electrocardiogram time signalsMachine learning approaches for acetic acid test based uterine cervix image analysisConvolutional neural network for biomedical applicationsAlzheimer’s disease classification using deep learningDiabetic retinopathy identification using autoMLKnowledge-based systems in medical applicationsConvolution neural network-based feature learning model for EEG-based driver alert/drowsy state detectionAnalysis on the prediction of central line-associated bloodstream infections (CLABSI) using deep neural network classification