Necrobotics for Healthcare Applications and Management

Necrobotics for Healthcare Applications and Management delves into the emerging area of necrobotics and its implications for healthcare. Exploring the convergence of robotics, technology, and healthcare, the book presents leading-edge research, practical implementations, and ethical considerations. It bridges a significant gap in healthcare literature, furnishing a contemporary and comprehensive perspective on necrobotics. Highlighting its distinct applications, management nuances, and ethical dimensions in the domain of medical robotics, the book equips readers with an in-depth grasp of this evolving field. It offers insights into technological intricacies, practical utilization, and ethical guidelines. Through real-world case studies and exemplar practices, it vividly demonstrates successful necrobotics deployments while addressing integration challenges. The book facilitates adept navigation of necrobotics complexities, spur innovation, enhance patient outcomes, and contribute to healthcare evolution. Catering to the distinct information requisites and daily obstacles encountered by engineers, healthcare practitioners, and researchers, the book offers extensive insights into necrobotics technologies, real-life case studies, and ethical reflections. It stands as a valuable resource for individuals striving to harness necrobotics' potential for efficacious healthcare solutions.

Dr. Hemachandran Kannan is a Professor in the Department of Artificial Intelligence & Business Analytics at Woxsen University, India, where he holds the Zita Zoltay Paprika Chair in Decision Sciences and Business Economics, as well as the Course5i Chair in Business Analytics and Machine Learning. With 15 years of teaching and 5 years of research experience, he is a dedicated educator skilled in AI and Business Analytics. After earning a Ph.D. in Embedded Systems, Dr. Kannan shifted his focus to interdisciplinary research. He has served as a resource person at numerous national and international conferences and has lectured on AI and Business Analytics topics. Recognized as Best Faculty at Woxsen University (2021-2022) and Ashoka Institute of Engineering & Technology (2019-2020), he has expertise in Natural Language Processing, Computer Vision, and autonomous systems.

Professor Dr. M. Murugappan is a Full Professor in Electronics at Kuwait College of Science and Technology (KCST) since 2016. Additionally, he serves as a Visiting Professor at the School of Engineering at Vels Institute of Science, Technology, and Advanced Studies in India, and an International Visiting Fellow at the Centre of Excellence in Unmanned Aerial Systems at Universiti Malaysia Perlis in Malaysia.

He holds an M.E. degree in Applied Electronics from Anna University, India, and received his Ph.D. in Mechatronic Engineering from Universiti Malaysia Perlis in 2010. Between 2010 and 2016, he worked as a Senior Lecturer at the School of Mechatronics Engineering, where he taught courses related to biomedical and mechatronics engineering.

Professor Murugappan has an outstanding research record, with numerous awards and research grants. His research in affective computing has received significant funding from Malaysia, Kuwait, and the UK.

He has published over 140 peer-reviewed conference proceedings papers, journal articles, and book chapters. Professor Murugappan is also a member of the editorial boards of prestigious journals, including PLOS ONE, Human Centric Information Sciences, Journal of Medical Imaging and Health Informatics, and International Journal of Cognitive Informatics.

Furthermore, he actively contributes to various IEEE Transactions as a reviewer and holds leadership roles, such as Chair of the IEEE Kuwait Section's Educational Activities Committee.

Dr. Raul Villamarin Rodriguez is Vice President of Woxsen University and holds professorships in cognitive psychology and integrative research. He also serves as an Adjunct Professor at Universidad del Externado in Colombia and sits on international advisory boards in Europe and Russia. He holds a PhD in artificial intelligence and robotic process automation in human resources and specialises in machine learning, deep learning, natural language processing, and emerging areas such as quantum AI. He contributes to global academic initiatives, including expert groups focused on responsible management education and pedagogy. Dr. Rodriguez is recognised as an expert by the European Commission and actively contributes to research, publishing, and academic service through authorship, editorial roles, and peer review for leading journals. His work focuses on advancing AI-driven innovation, analytics, and digital learning in higher education and applied research contexts.

Dr. Rajaraman, an accomplished Research Scientist, is a significant contributor in the field of medical image processing ML/AI at the National Library of Medicine (NLM), part of the National Institutes of Health (NIH) in the USA. His efforts are directed toward leveraging computational sciences and engineering techniques to bring about a transformative impact on automated medical decision-making. Dr. Rajaraman's extensive research scope encompasses a wide range of domains, including machine learning, data science, biomedical image analysis, and computer vision. Prior to his engagement with NLM, he garnered 15 years of academic experience, during which he imparted knowledge in core and allied subjects in electronics, communication, and biomedical engineering. His academic journey was paralleled by prolific publishing in both national and international journals and conferences.

Dr. Rajaraman actively contributes to the academic community as an editorial board member for premier journals such as PeerJ, PLOS ONE, and MDPI. His engagement extends to the meticulous review of manuscripts for over 100 esteemed journals and conferences. Furthermore, he upholds memberships in distinguished organizations including SPIE, IEEE, and BMES, underscoring his unwavering commitment to achieving excellence within his field of expertise.

Rajesh Kumar K V currently holds the position of Assistant Professor in the Business Analytics area at the School of Business, Woxsen University, Hyderabad, India. He also serves as the Chair Professor of France Balanger of Information Systems. Rajesh is actively engaged as the Co-Chairperson of the Centre of Excellence – Sports Analytics and Management and holds the Advertflair Chair Professorship in Marketing and Advertising (AI Projects). He completed his M. Tech in Embedded Systems from JNTU, Kakinada, and holds an AMIE in ECE from the Institution of Engineers, Kolkata. His research journey led him to attain a Ph.D. from VIT University, Chennai.

Previously, Rajesh was associated with DRDO - DIPAS (Government of India) as a Junior Research Fellow. He also played a guiding role at upGrad Educational Private Limited, assisting students in selecting research problems and crafting theses that involve AI/ML models. This guidance benefited those pursuing M.Sc. in Data Science / AI ML courses from LIVERPOOL JOHN MOORES University through upGrad. His research specialization is centered around Human-Computer Interface-based signal Data Analytics for Bio-Medical Applications, Machine and Deep Learning, as well as Business Analytics.