Electronics and Communications Technology

Blockchain and Deep Learning Assisted Modern Healthcare Systems
Techniques and Challenges

Editors: Dr. Heena Wadhwa
Dr. Righa Tandon
Dr. Suhaib Ahmed
Aryan Chaudhary

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Blockchain and Deep Learning Assisted Modern Healthcare Systems

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Blockchain technology is a decentralized communication platform that possesses the capacity to revolutionize the storage and management of data and information through decentralization. The utilization of blockchain technology has promise in diminishing the influence of intermediaries, who are seen as significant regulatory entities within our societal framework. The use of cryptographic concepts ensures that transactions possess both security and trustworthiness concurrently. In recent times, there has been a notable surge in the use of blockchain technology across several sectors, mostly driven by the widespread use of cryptocurrencies. The healthcare sector has a significant opportunity for the application of blockchain technology, primarily driven by the imperative to adopt a patient-centric approach inside healthcare systems. This technology holds promise in facilitating the seamless integration of heterogeneous systems and enhancing the precision of electronic healthcare records (EHRs).

This book will represent the latest advancements in blockchain and artificial intelligence (AI) within the field of healthcare. The biomedical and healthcare sectors are observing a growing opportunity for the integration of blockchain and artificial intelligence (AI) technologies in healthcare service provision. Currently, the domains of several industries are being influenced by the pervasive impact of blockchain technology, artificial intelligence (AI), machine learning (ML), and deep learning. Artificial intelligence (AI) and machine learning (ML) are playing an essential role in the advancement of the healthcare sector by facilitating innovative applications.


Chapters are invited in the following but not limited to:

Chapter 1: Exploring Blockchain and IoT Integration in Healthcare Systems: Opportunities and Challenges

Chapter 2: Enhancing IoT-Based Health Data Security: Blockchain and Deep Learning Integration for Digital Health Data Management

Chapter 3: Revolutionizing Healthcare: Integrating Fog Computing with the Internet of Medical Things

Chapter 4: Smart Digital Health Care: Clustering and Classification Techniques

Chapter 5: Role of Blockchain in Patient Monitoring System for the Healthcare Industry

Chapter 6: Secure and Efficient Sharing of Information Using Biostamping and Biocertification of Electronic Records

Chapter 7: Massive IoT Development with a Secure Network

Chapter 8: Transparency in Clinical Trial Using Data Collection and Filtration

Chapter 9: Blockchain Environment Using Problem Solving Techniques in a Pandemic Scenario

Chapter 10: Smart Contract Systems for Healthcare

Chapter 11: Role of Deep Learning Based Techniques in Smart Healthcare

Chapter 12: Deep Learning Evolution in Healthcare: Mapping Future Directions



Important Dates:
Abstract submission: 20-04-24
Abstract acceptance: 30-05-24
Full chapter submission: 20-07-24
Full chapter acceptance: 30-08-24
Final Chapter Submission: 15-09-24

Submission Procedure:
Interested authors are requested to submit their book chapter to: healthcarebook2024@gmail.com


About the Authors / Editors:
Editors: Dr. Heena Wadhwa
Associate Professor, Chitkara University Institute of Engineering And Technology, Chitkara University, Punjab, India

Heena Wadhwa is currently working as an Associate Professor in Chitkara University, Punjab, India. She received her B.Tech and M.Tech degree from Punjab Technical University, India in 2007 and 2014 respectively. She received her Ph.D. degree in Computer science and Engineering from Lovely Professional University, India in 2022. Her research interests include blockchain, cloud computing, fog computing, IoT, software engineering, and wireless sensor networks. She has published various research papers in reputed peer reviewed SCI and SCOPUS indexed journals and various national/international conferences. She has also served as a reviewer in various journals/conferences. In recognition of her innovation contributions, she has also filed six patents.

Dr. Righa Tandon
Assistant Professor, Chitkara University Institute of Engineering And Technology, Chitkara University, Punjab, India

Righa Tandon is an accomplished Assistant Professor currently serving at Chitkara University, where she brings with her a wealth of knowledge and experience in the field of Computer Science and Engineering. She completed her Ph.D. in 2021 from Jaypee University of Information Technology after obtaining her B.Tech and M.Tech degrees in the same field. She has shown immense dedication and passion for her area of expertise, which includes information security, fog computing, image processing, blockchain and vehicular networks. Her research work has been published in numerous reputed SCI journals, Scopus indexed publications, and book chapters. In recognition of her innovative contributions, she has also filed four patents. She has served as TPC in various conferences and served as reviewer in various journals/conferences. With a sharp analytical mind and an unwavering commitment to her field, she is a highly regarded and respected member of the academic community.

Dr. Suhaib Ahmed
Assistant Professor, Model Institute of Engineering and Technology, India

Dr. Suhab Ahmed is currently working as an Assistant Professor in Model Institute of Engineering and Technology, Jammu, India. He received his B.E. degree in Electronics and Communication Engineering from University of Jammu, India in 2012, M.Tech and Ph.D. degree in Electronics and Communication Engineering from Shri Mata Vaishno Devi University, Katra, India, in 2014 and 2019 respectively. He has qualified both GATE and UGC-NET. His research interests include quantum-dot cellular automata, nano-electronics, VLSI, data converters, nanotechnology, wireless sensor networks, IoT, AI/ML, bioelectronics and signal processing. Dr. Ahmed is an active member of IEEE, Life Member of IETE, ISTE and Computer Society of India. He has published around 90 research papers in reputed peer reviewed journals of IEEE, Springer, Elsevier, Wiley, etc. and in various international/national conferences. He has also worked as PI/Co-PI in 4 sponsored projects from the Ministry of Education, Government of India and in 1 ongoing project from Jammu & Kashmir Department of Science and Technology. He has also served as TPC in various conferences and served as reviewer in various journals/conferences. He is also a member of Editorial Boards for various Web of Science and SCOPUS-indexed journals. For his research contributions, he has been awarded with Young Scientist Award in 2019 and also inducted as Innovation Ambassador by Institution’s Innovation Council (IIC), Ministry of Education, Govt of India.

Aryan Chaudhary
Chief Scientific Advisor, BioTech Sphere Research, India

Aryan Chaudhary, the Chief Scientific Advisor at BioTech Sphere Research, India, is an eminent figure in the healthcare and technology landscape, renowned for his groundbreaking contributions and innovative leadership. Formerly the Research Head at Nijji HealthCare Pvt Ltd, he has showcased unparalleled expertise in harnessing revolutionary technologies, including artificial intelligence, deep learning, IoT, cognitive technology, and blockchain, to reshape the healthcare industry. With a relentless commitment to excellence, he has left an indelible mark as a thought leader. His extensive body of work includes influential academic papers on public health and digital health, published in prestigious international journals. A focal point of his research lies in the integration of IoT and sensor technology for efficient data collection through one-time and ambulatory monitoring. A distinguished keynote speaker at numerous international and national conferences, he serves as a series editor of a CRC Press book series and as the editor of several books on biomedical science. His dedication to advancing scientific knowledge is further evident as a guest editor for special issues in renowned journals. Notably, he is currently serving as a guest editor for a special issue in the esteemed journal EAI Endorsed Transactions on AI and Robotics and has joined the editorial board of Biomedical Science and Clinical Research (BSCR). Recognized for his exceptional contributions, he has received prestigious accolades such as the “Most Inspiring Young Leader in Healthtech Space 2022” by Business Connect. His influence extends to senior memberships in various international science associations, showcasing his impact in the field. Recently, he has been appointed as the Chair for an ACM professional chapter and nominated as a member of the ACM U.S. Technology Policy Committee (USTPC) in the AI & Algorithms division. Adding to his illustrious portfolio, he has been appointed as a Technical Committee Member for the tenure 2024–2025 with the IEEE Robotics and Automation Society. Additionally, he has been elected as a regular fellow member of the International Organization for Academic and Scientific Development (IOASD) and admitted as a member of the International Association for Carbon Capture (MIACC). His influence further extends as a technical committee member of IEEE CTSoc- Consumer Systems for Healthcare and Wellbeing (CSH).




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