Computational Intelligence and Medical Robotics for Healthcare Transformation presents a comprehensive and interdisciplinary exploration of the integration of computational intelligence, artificial intelligence, and medical robotics in modern healthcare. The book establishes the fundamental concepts required to understand intelligent and autonomous healthcare systems, with emphasis on learning, reasoning, perception, decision-making, and adaptive control. It examines the application of machine learning to intelligent healthcare systems and explores deep learning and computer vision techniques for medical robotic applications. The role of Generative AI and Large Language Models in healthcare is discussed in the context of emerging intelligent and data-driven medical solutions. The book further addresses autonomous surgical robotics and intelligent control, highlighting the importance of precision, safety, adaptability, and human supervision. Digital Twins and Edge AI are presented as enabling technologies for smart and connected healthcare environments. Explainable AI and trustworthy medical robotics are explored to emphasize transparency, reliability, safety, and responsible deployment of intelligent systems. The book also examines federated learning and secure medical AI systems, addressing privacy-preserving approaches for healthcare data and distributed intelligence. Intelligent rehabilitation and assistive robotics are discussed with emphasis on personalized assistance and patient-centered care. The final chapter examines emerging trends in computational intelligence and medical robotics, providing perspectives on future developments in the field. Throughout the book, attention is given to intelligent sensing, computer vision, machine learning, adaptive robotics, human–robot interaction, clinical decision-making, and healthcare automation. The book connects concepts from artificial intelligence, robotics, biomedical engineering, computer science, and healthcare to provide an integrated perspective on technological transformation. It is designed to support students, researchers, academicians, healthcare professionals, engineers, and practitioners working in emerging intelligent healthcare technologies.
About the Editors’
Dr. Mohammad Shahid is an accomplished Associate Professor in the Department of CSE (AIML) at Noida Institute of Engineering & Technology (NIET), Greater Noida, with a strong specialization in Data Science, Artificial Intelligence, Machine Learning, and Data Analytics. Holding a PhD in Computer Science & Engineering and pursuing a D.Sc, he is also an active Post-Doctoral Researcher. With over 16+ years of experience in academia and industry, Dr. Shahid has held key positions, including Head of CSE (AIML) at NIET and Assistant Professor at GHRCE, Nagpur, and ISBAT University, Uganda. He has also worked as a Software Developer in Saudi Arabia, bringing industry expertise to his teaching. A recognized researcher and educator, Dr. Shahid has published multiple papers in reputed journals, filed patents, and served as a reviewer and session chair at international conferences. He has been honored with the Indian Glory Award (2024), HQ Higher Education Summit Recognition (2022), and Teaching Excellence Awards (2014-2015). As a dedicated academic leader, he has conducted Faculty Development Programs (FDPs), workshops (including collaborations with Capgemini), and guided numerous UG/PG projects. His institutional contributions span curriculum development, conference coordination, and technical training in emerging technologies.
Dr. Sakshi Sadhwani (Chhabria) is working as Associate Professor in Department of Artificial Intelligence, GHRCEM Nagpur. She is holding the position of IEEE Branch Counsellor, GHRCEM Nagpur. She is a Professional Life Member of the Computer Society of India (CSI), Life member of ISTE, Lifetime Professional Member of Institute of Scholars and Senior member of IEEE. She received her PhD. Degree in Computer Science & Engineering Department from Nagpur University in 2020. She has rich teaching and research experience. Her areas of interest include Artificial Intelligence, Machine learning, Biomedical, Database Management, Security, Data Science. She is Winner of Academic Excellence Award – 2024, Higher Education Level, in recognition of valuable contribution to the academic community & students & winner of Research Excellence Award – 2024, by Institute of Scholars InSc. She is winner of Global Teacher Award 2021 for accomplishing excellence in educational services via occupational competence and exemplary work in the field of education by AKS Education Awards. She has published more than 50 research papers in peer-reviewed Journals and International Conferences. She has received 5 patents & 3 copyrights. Author of Six book Chapters and editor of one book. She has also delivered guest lectures. She has received a grant of INR 11.29 Lacs., under the Research Project Scheme from AICTE for her remarkable Research project: To Develop Multipurpose Human Computer Interaction Based System for Physically Disabled Person Funded by AICTE –Rs. 11,29,000/- , Amount Sanctioned and utilized. She has also received Funding of Rs. 3.5 Lacs for organizing ATAL FDP as co-coordinator on Generative AI and its Applications in 2024. She has also received funding from IEEE Bombay section for organizing two FDP's titled Recent Trends in Deep Learning in 2022 and second FDP on “Cloud Computing” 2023.
Ms. Vaddithandra Vijaya is an Assistant Professor in the Department of Computer Science and Engineering at Sreenidhi University, Yamnampet Ghatkesar,Hyderabad, Telangana-501301. She brings over 15 years of teaching experience in higher education. Her areas of expertise include Artificial Intelligence, Machine Learning, Robotic Process Automation, Computer Networks, and Software Engineering. She is deeply passionate about integrating emerging technologies into academic practice and fostering innovative thinking among students. Her teaching approach emphasizes practical learning, conceptual clarity, and industry relevance. Ms. Vijaya actively contributes to curriculum development and student mentoring, preparing future engineers to meet evolving technological challenges. She is currently pursuing her Ph.D. in Machine Learning at Anna University, Guindy, Tamil Nadu. She has published several research papers in Scopus-indexed journals and presented at international conferences. In addition, she holds granted patents and utility patents for her innovative work. She is also a recipient of the prestigious Indian Icon Teaching award.
Mrs. K. Maheshwari M.E., (Ph.D.,) is currently an Assistant Professor and Head in the Department of Artificial Intelligence and Data Science at Sir Issac Newton College of Engineering and Technology (SINCET), Nagapattinam. She has completed her M.E in CSE at Sir Issac Newton College of Engineering and Technology in 2016 and Currently doing Ph.D. in Information and Communication Engineering at Anna University (Part Time Scholar). She has 9 years of teaching experience. She has Published various research papers in National and International Journals. She also published various Patents in IPR. She is actively participating in NPTEL courses & having Certifications in various courses. Her Research areas include Network Security, Machine Learning and Quantum Computing.
About the Authors’
Ms. Priyanka Chemudugunta is currently working as an Assistant Professor in the Department of Robotics and Automation at Karpaga Vinayaga College of Engineering and Technology, KVELL (Deemed to be University) Chengalpattu. She obtained her Bachelor degree in B.Tech. Electronics and Communication Engineering at Narayana Engineering College, JNTU, Hyderabad in 2007. She received her Master of Technology in Mechatronics, VIT University, Vellore in 2009. She is pursuing Doctor of Philosophy at SRM University in soft Robotics. She has 12 years of teaching experience in reputed institutes. She has published papers in the Various reputed journals and conference proceedings. Her areas of research work include Automation, Robotics, and Soft Robotics, Internet of Thing, Machine learning.
Dr. Shivanand Pujar earned his B.Tech. in Information Science and Engineering from Basaveshwara Engineering College, Bagalkot, affiliated with Visvesvaraya Technological University, Belagavi. He completed his M.Tech. in Computer Science and Engineering from Reva Institute of Technology and Management, Bengaluru, and obtained his Ph.D. in Computer Science from Rani Channamma University, Belagavi. Dr. Pujar has published numerous research papers in reputed national and international journals. His primary research interests include Cybersecurity, Blockchain Technology, Image and Signal Processing, Biometrics, Medical Image Analysis, and Pattern Recognition. He has over 12+ years of research and teaching experience. Dr. Pujar has held various academic positions, including Assistant Professor, Associate Professor, and Head of the Department of Computer Science and Engineering, at several reputed institutions. Currently, he is working as an Associate Professor in the Department of Information Science and Engineering at Basaveshwara Engineering College, Bagalkot, Karnataka.
Mrs. S. Sharmila M.E., (Ph.D.,) is currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Sir Issac Newton College of Engineering and Technology (SINCET), Nagapattinam. She obtained her Master of Engineering (M.E.) degree in Computer Science and Engineering from E.G.S. Pillay Engineering College (Autonomous) in 2018. She is presently pursuing her Doctor of Philosophy (Ph.D.) in Information and Communication Engineering at Anna University as a Part-Time Research Scholar. She has five years of teaching experience and has published several research papers in reputed national and international journals. She has also filed patents in the field of Intellectual Property Rights (IPR). Mrs. Sharmila actively participates in NPTEL courses and has earned multiple certifications across various domains. Her research interests include Network Security, Machine Learning, and Quantum Computing.
Ms. S. Sangeetha is an Assistant Professor in the Department of Computer Science and Engineering at Dhanalakshmi Srinivasan College of Engineering and Technology. She has 5 years of teaching experience and is actively involved in teaching, research, academic development, student mentoring, and professional activities in the field of Computer Science and Engineering. Her areas of academic and research interest include Computer Science, Software Engineering, Data Analytics, Artificial Intelligence, Machine Learning, Database Systems, and emerging computing technologies. Her academic interests focus on applying modern computational techniques to develop innovative and practical solutions for real-world challenges. Ms. S. Sangeetha has published 3 research articles in academic and research forums. Her research activities reflect her interest in advancing knowledge and exploring emerging technologies in the field of Computer Science and Engineering. She actively participates in conferences, Faculty Development Programmes (FDPs), workshops, seminars, and other professional development activities. These academic engagements enable her to enhance her technical knowledge, stay updated with emerging trends, and exchange ideas with researchers and academicians. With experience in student mentoring, project guidance, laboratory instruction, technical activities, and curriculum-oriented academic initiatives, she encourages students to develop innovative projects and strengthen their programming, analytical, and problem-solving skills. Her professional interests include Artificial Intelligence, Machine Learning, Data Analytics, Software Development, Intelligent Systems, and emerging technologies in Computer Science. She is committed to integrating modern technologies and practical learning approaches into engineering education. Through her 5 years of teaching experience, research publications, conference participation, FDPs, and student mentoring, Ms. S. Sangeetha strives to contribute to quality computer science education, research innovation, technological advancement, and the development of skilled and industry-ready computer science professionals.
Mr. P. V. Nandhakumar is an Assistant Professor in the Department of Automobile Engineering at Karpaga Vinayaka College of Engineering and Technology, Karpaga Vinayaga Educational Lore for Learning, Deemed to be University. He has 14 years of teaching experience and is actively involved in teaching, research, academic development, student mentoring, and professional activities in the field of Automobile Engineering. His areas of academic and research interest include automotive systems, electric and hybrid vehicles, vehicle dynamics, automotive design, advanced manufacturing, automobile maintenance, automotive safety, and emerging technologies in the automotive sector. His research interests focus on developing innovative, sustainable, and industry-oriented solutions for next-generation transportation and mobility applications. Mr. P. V. Nandhakumar has published 8 research publications in peer-reviewed journals and conferences and has 3 patents filed for innovative technological developments. His research activities reflect his commitment to advancing knowledge and developing practical engineering solutions for contemporary challenges in the automotive sector. He actively participates in international conferences, Faculty Development Programmes (FDPs), workshops, seminars, and other professional development activities. These engagements enable him to stay updated with emerging technologies, global research trends, and innovative practices in engineering education and the automotive industry. With extensive experience in student mentoring, project guidance, laboratory instruction, technical events, and curriculum-oriented academic activities, he encourages students to undertake innovative projects and research addressing real-world industrial challenges. He promotes experiential learning and the integration of modern engineering tools and technologies into automobile engineering education. His professional interests include electric mobility, hybrid vehicle technologies, sustainable transportation, automotive innovation, advanced materials, intelligent vehicle systems, automotive safety, and next-generation automotive technologies. Through his 14 years of teaching experience, research publications, patent activities, international academic participation, and student mentoring, Mr. P. V. Nandhakumar is committed to contributing to automobile engineering education, technological innovation, sustainable mobility, and the development of skilled and industry-ready engineers.
Mr. Karthick. P, M.E., (Ph.D) is an Assistant Professor & Head in the Department of Advanced Computing Sciences, at the Academy of Maritime Education and Training (AMET), Deemed to be University, Chennai. With over 10 years of teaching and research experience, He has demonstrated excellence in academia through his consistent contribution to student development, research supervision, and curriculum advancement. He has served as a coordinator for NBA and NAAC accreditation processes, emphasizing his commitment to institutional quality and continuous improvement. He has published two Q1-ranked research papers in Annexure- I Journals and authored 5 books published by reputed national publishers. Additionally, he has 5 technical papers to his credit in national and international journals and has successfully completed the VICT certification course. He has guided several undergraduate and postgraduate research projects, mentoring students in innovative and application-oriented work in the fields of mechanical design, manufacturing systems, and computational modeling. His research interests include Composite Materials, Manufacturing Engineering, and Advanced Computational Applications. Mr. Karthick is dedicated to advancing interdisciplinary research by integrating mechanical sciences with emerging fields such as Artificial Intelligence and Data-Driven Manufacturing.
M. Sowmya is currently working as an Assistant Professor in the Department of Computer Science & Engineering (Networks) at Kakatiya Institute of Technology & Science (KITS), Warangal. She completed her M.Tech in Computer Science and Engineering She has over 10 years of teaching and research experience. Research papers in national and international journals. Her research interests include Machine Learning and Deep Learning.
Dr. Chandra Mouli Narsingoju holds a Ph.D. in Computer Science & Engineering, M.Tech in Computer Science & Engineering and is presently serving as Associate Professor and Head of the Department of Computer Science & Engineering at Vaageswari College of Engineering, Karimnagar, Telangana. He has over 15+ years of teaching, training and administrative experience at undergraduate and postgraduate levels. He is currently pursuing post-doctoral research at SR University, Warangal. he has played a key role in institutional development through accreditation initiatives such as NBA and NAAC (A+). His academic contributions include organizing national-level programs, guiding undergraduate and postgraduate projects, and actively engaging in research in areas such as Cloud Computing, Artificial Intelligence, and Data Science. He has published several research papers in reputed journals and conferences, holds patents, and has authored books in core computer science domains. He is also associated with professional bodies and contributes as a reviewer for international conferences.
Mr. Perumal Sudalai is an Assistant Professor in the Department of Mechanical Engineering at Karpaga Vinayaga College of Engineering and Technology, Karpaga Vinayaga Educational Lore For Learning (Deemed to be University), Chengalpattu. He holds a Bachelor’s degree in Mechanical Engineering from Odaiyappa College of Engineering and Technology, Theni, and a Master’s degree in Computer Integrated Manufacturing from the College of Engineering, Guindy, Chennai. With over a decade of academic and research experience, his technical expertise spans hybrid composite materials, renewable energy systems, advanced manufacturing, and multidisciplinary engineering integration. His research contributions include the development, characterization, and performance evaluation of polymer matrix composites, nano-reinforced hybrid materials, and sustainable engineering solutions for energy and industrial applications. Mr. Perumal Sudalai has published more than 12 peer-reviewed research articles in reputed international journals, and his innovative works have led to Three filed patents. His academic interests also extend to collaborative and interdisciplinary research, aiming to translate laboratory-scale innovations into practical, industry-oriented engineering solutions. He actively mentors student research projects and remains committed to advancing knowledge through modern computational tools, experimental analysis, and emerging technologies in manufacturing and materials science.
Mrs. P.Vennila M.E., (Ph.D.,) is currently serving as an Assistant Professor in the Department Artificial Intelligence and Data Science at Sir Isaac Newton College of Engineering and Technology (SINCET), Nagapattinam. She obtained her Master of Engineering (M.E.) degree in Computer Science and Engineering from E.G.S. Pillay Engineering College (Autonomous) in 2014. She is presently pursuing her Doctor of Philosophy (Ph.D.) in Information and Communication Engineering at Anna University as a Part-Time Research Scholar. She has 11 years of teaching experience and has published several research papers in reputed national and international journals. Mrs.P.Vennila actively participates Multiple certifications across various domains. Her research interests include robotics, Machine Learning, and Artificial intelligence and cloud computing.
