Electronics and Communications Technology

Integrating Biomedical Image Processing and Informatics for Healthcare in the Digital Twin
Dr. Nikita Jain
Dr. V. Dhilip Kumar
Dr. Oana Geman
Aryan Chaudhary

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Integrating Biomedical Image Processing and Informatics for Healthcare in the Digital Twin

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A digital twin is a digital representation of a physical system, product, or process that serves as the actual thing’s practically identical digital twin for various purposes that include monitoring, testing, integration, simulation, and maintenance. Digital twins are virtual replicas of medical equipment and technologies that may be used to gather information on the equipment’s condition, setup, and upkeep. These imaging machines may generate data on the temperatures of the operating devices, which may have an immediate effect on the lifespan of the remaining functional components. To generate an up-to-date virtual model of a medical device, more data can be gathered, including fluid levels, vibrations, pressures, electrical voltages, environmental parameters, and device implementation metrics. Digital twin technology is being swiftly embraced by the healthcare industry. This technology enables assessment and monitoring to take place without the need for close contact by acting as a digital duplicate of the real instruments, machines, and systems used in the healthcare industry. It will be helpful for inspiring a wide range of researchers to carry out research in order to advance the fields of healthcare, bioinformatics, computer science, and artificial intelligence.

The suggested book invites various authors and researchers working in the fields of medical imaging, biomedical signal and image processing, and various methodologies of AI.

Targeted Audience:
The primary audience of our proposed book will be research students or scholars pursuing their research in the fields of computer science, image processing, artificial intelligence, bioinformatics, and health care. Secondly, the researchers, scientists, and industry professionals acquainted with this domain and research fields.

Topics for the submission include, but are not limited to:

Chapter 1. An Introduction to Image Processing
Chapter 2.Digital Image Representation and Description
Chapter 3.Pattern Classification Methods
Chapter 4. An Outline on AI
Chapter 5. Using AI to Addressing the Medical Imaging
Chapter 6. Fundamental concepts of Deep Learning
Chapter 7. Current Healthcare, IoT, Big Data, and Machine Learning
Chapter 8. Application of Medical Imaging in AI
Chapter 9. Patient Monitoring Using AI
Chapter 10. Introduction of Digital Twining in Healthcare
Chapter 11. Improve Human Health and Lifestyle Environmental Digital Twins Technology
Chapter 12. Future Research Direction of Digital Twining in Medical Imaging with Artificial Intelligence

Important Dates:
Abstract Submission: 20/10/2023
Abstract Acceptance: 1/11/2023
Complete Chapter Submission: 24/11/2023
Complete Chapter Acceptance: 24/12/2023
Final Manuscript Acceptance: 24/01/2024

Submission Procedure:
Interested Authors are requested to submit their Book Chapter to: healthcaredigitaltwin@gmail.com


About the Authors / Editors:
Dr. Nikita Jain
Associate Professor and Head of Department, Poornima College of Engineering, Jaipur, Rajasthan India
E-mail:nikita.jain@poornima.org

Dr. Nikita Jain is working as an Associate Professor in the Department of Computer Engineering at Poornima College of Engineering, Jaipur, Rajasthan, India. She has more than 15 years of teaching experience as well as research experience. She did her BTech and MTech in Computer Science and Engineering at UPTU, Lucknow and RTU Kota. She has published in various international journals and international conferences in the field of computer science, machine learning, deep learning, and the healthcare sector. She is an editorial board member and reviewer for various international journals and conferences, such as Springer, Frontiers, MDPI, IGI Global, etc. Her area of interest is advanced computing and healthcare, machine learning, deep learning etc.

Dr. V. Dhilip Kumar
Professor and Head, Department of Artificial Intelligence and Data Science, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, India

Dr. V. Dhilip Kumar was awarded his PhD at North Eastern Hill University (A Central University of India) in 2018. Presently, he is working as an Associate Professor in the Department of computer science and engineering at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. He has more than 12 years’ experience of teaching as well as research. He did his BTech in Information Technology and ME in Computer Science Engineering under Anna University, Chennai. He has published in various international journals and international conferences in the field of wireless communication and vehicular communication. He is an editorial board member and reviewer for various international journals and conferences, such as Springer, Frontiers, MDPI, IGI Global, etc. His area of interest is wireless communication, software defined network, internet of things, machine learning and expert systems, etc. He is currently working on a Govt Funding Project DBT in the field of precision aquaculture using machine learning. He is guiding 6 PhD scholars in the field of machine learning for healthcare and computer vision for human computer interaction.

Dr. Oana Geman
Professor, University Stefan cel Mare of Suceava, Romania
Email: oana.geman@usm.ro

Dr. Oana Geman is a Medical Bioengineer and PhD in Electronics and Telecommunication (Title of Doctoral Thesis: “Contributions To Knowledge-based Systems Using Nonlinear Analysis, With Medical Applications,” 2005) and a post-doctoral researcher in Computer Science (2012). She is currently an Associate Professor at the University of Suceava, Romania, and obtained Habilitation in Electronics and Telecommunication Field (2018). Within the past five years she has published 10 books, over 100 articles (65 articles in ISI Web of Science journals), 15 articles in ISI-indexed conference volumes as main author, and over 50 papers in Q1and Q2 Journals, with FI over 50. Her various works have been cited over 2000 times, and she has an H-index is 25. She served as chair or organizer of many internationals conferences as well as session chair and member in programs and technical committees. She is a senior member of IEEE. She has been a director or a member in 10 national and international grants. Her current research interests include: non-invasive measurements of biomedical signals, wireless sensors, signal processing, and processing information by way of artificial intelligence such as nonlinear dynamics analysis, stochastic networks and neuro-fuzzy methods, classification and prediction, data-mining, deep learning, intelligent systems, bioinformatics and biostatistics, and biomedical applications. Her current work is focused on identifying ways to contribute to the understanding of the role and predictive power of specific neural circuitries in the occurrence of neurological disorders and rehabilitation or other biomedical applications. This current project will involve research, dissemination, and transfer of knowledge in the area of bioengineering and medical engineering, with contributions to the development of system requirements, software development, testing the new system under laboratory conditions, as well as conducting reality simulations. She is a reviewer formany top journals, including IEEE Transactions, IEEE Access, IOT Journal, Sensors, and Symmetry, etc

Aryan Chaudhary
Chief Scientific Advisor, BioTech Sphere Research, India
Email: aryanchaudhary500@gmail.com

Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India. He continues to make groundbreaking contributions to the industry. Having served as the Research Head at Nijji HealthCare Pvt Ltd, he has demonstrated his expertise in leveraging revolutionary technologies such as artificial intelligence, deep learning, IoT, cognitive technology, and blockchain to revolutionize the healthcare landscape. His relentless pursuit of excellence and innovation has earned him recognition as a thought leader in the industry. His dedication to advancing healthcare is evident through his vast body of work. He has authored several influential academic papers on public health and digital health, published in prestigious international journals. His research primarily focuses on integrating IoT and sensor technology for efficient data collection through one-time and ambulatory monitoring. As a testament to his expertise and leadership, he is not only a keynote speaker at numerous international and national conferences but also serves as a series editor of a CRC book series and is the editor of several books on biomedical science. His commitment to the advancement of scientific knowledge extends further, as he acts as a guest editor for special issues in renowned journals. Recognized for his significant contributions, he has received prestigious accolades, including the “Most Inspiring Young Leader in Healthtech Space 2022” by Business Connect and the title of the best project leader at Global Education and Corporate Leadership. Moreover, he holds senior memberships in various international science associations, reflecting his influence and impact in the field. Adding to his accomplishments, Aryan Chaudhary is currently serving as a guest editor for a special issue in the highly regarded journal, EAI Endorsed Transactions on AI and Robotics, and he has joined the editorial board of Biomedical Science and Clinical Research (BSCR). Additionally, he is a respected professional member of the Association for Computing Machinery (ACM). He has been recently elected as Chair for an ACM professional chapter.




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