Table of Contents
1. Introduction to Necrobotics2. Necrobotics: Creepy yet Fascinating
3. Evolution of Robotics in Healthcare
4. Surgical Necrobotics
5. Human-Robot Interaction in Healthcare
6. Medical Imaging and Diagnosis: Robotics in Diagnostic Imaging and Image-Guided Interventions
7. Artificial Intelligence and Machine Learning in Necrobotics
8. Safety and Ethical Considerations in Necrobotics
9. Cost-Effectiveness and Return on the Investment Analysis for Necrobotic Systems
10. Workflow Optimization and Resource Allocation in Healthcare: The Role of Necrobotics
11. Futuristic Med-Tech Transforming Healthcare Industry: Nanorobotics for Healthcare Applications and Management in Action
12. Vision Among the Dead: Integrating Necrobotics and Computer Vision
13. A Framework for Development of Speech controlled Necrobot for Health Application
14. A Framework for the Development of an Intelligent Necrobot for Classification and Treatment of Skin Diseases
15. RAEXO: A Smartphone and Semi-Active Actuation Mechanism based a Pilot Prototype for Rheumatoid Arthritis Rehabilitation
16. Prospect of Necrobotics in Healthcare Applications- A Critical Analysis from the lens of Law
Authors
Hemachandran Kannan Department of Artificial Intelligence & Business Analytics, Woxsen University, India.Dr. Hemachandran Kannan is a Professor in the Department of Artificial Intelligence & Business Analytics at the School of Business, Woxsen University, India. He holds the esteemed positions of Zita Zoltay Paprika of Decision Sciences and Business Economics and Course5i- Chair Professor of Business Analytics and Machine Learning. With 15 years of teaching experience and 5 years of research experience, he is deeply committed to education and research. He possesses a strong educational foundation, characterized by a scientific mindset, and is highly proficient in AI & Business Analytics. After completing his Ph.D. in embedded systems, he transitioned towards interdisciplinary research pursuits.
Dr. Kannan has significantly contributed to academia and scientific discourse. He has effectively served as a resource person in various national and international scientific conferences and panel discussions. His expertise is also conveyed through lectures on subjects pertaining to Artificial Intelligence & Business Analytics. His dedication to teaching has been recognized with the Best Faculty awards at both Woxsen University (2021-2022) and Ashoka Institute of Engineering & Technology (2019 - 2020).
His professional journey has encompassed impactful work in Natural Language Processing, Computer Vision, developing Video recommendation systems, constructing HR policy and Education Sector Chatbots, creating Automatic Interview processes, and designing Autonomous Robots. Dr. Hemachandran is presently engaged in real-time use cases and collaborative projects with prominent Industries like Advertflair, Nosh Technologies, Course5i, and Apstek Corp.
Murugappan Murugappan Kuwait College of Science and Technology, Kuwait.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.
Raul Villamarin Rodriguez Vice President, Woxsen University, India.Dr. Raul Villamarin Rodriguez holds the position of Vice President at Woxsen University and also occupies the esteemed roles of Steven Pinker Professor of Cognitive Psychology and Classavo Chair Professorship in Integrative Research and Digital Learning. Furthermore, Dr. Rodr�guez serves as an Adjunct Professor at Universidad del Externado in Colombia, and he is a distinguished member of the International Advisory Board at IBS Ranepa in the Russian Federation, as well as a contributor to the IAB at the University of P�cs Faculty of Business and Economics. Notably, he represents India in the PRME i5 Expert Pedagogy Group.
Possessing a Ph.D. in Artificial Intelligence and Robotics Process Automation applications within Human Resources, Dr. Rodriguez's areas of expertise span diverse domains, including Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum Artificial Intelligence. Proficient in multiple programming languages and tools such as Prolog, Java, C++, Python/RStudio, Julia, Swift, Scala, MySQL, and Spark, he is recognized as an expert in Artificial Intelligence, Intelligent Systems, and Multi-agent Systems by the European Commission. His contributions have earned him recognition, with nominations for the Forbes 30 Under 30 Europe 2020 list and the Europe India 40 Under 40 Leaders award. He is also a valued member of the GRLI Deans and Directors cohort.
Sivaramakrishnan Rajaraman National Institutes of Health, USA. 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 Department of Artificial Intelligence & Business Analytics, Woxsen University, India.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.
