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The book "AI-Enabled Healthcare Security: Safeguarding Patient Data and Improving Outcomes" focuses on the role of artificial intelligence in enhancing healthcare security and improving patient outcomes. It covers the challenges and risks associated with cybersecurity threats in the healthcare industry and explores the use of AI-based cybersecurity solutions, machine learning algorithms, and predictive analytics to mitigate those risks.
The book is intended for healthcare professionals, cybersecurity experts, AI practitioners, and anyone interested in the intersection of healthcare, cybersecurity, and AI. It also highlights emerging technologies and future trends in AI and healthcare security.
Prof. (Dr.) Sunil Gupta
Prof. (Dr.) Sunil Gupta is a known academician and researcher with more than 20 years of rich experience in teaching, research, and industry related to Computer Science and Engineering. An alumnus of the prestigious National Institutes of Technology, Jalandhar, and NIT Hamirpur, Dr. Gupta has built a stellar career that seamlessly blends academia with industry insights.
He has served at other prestigious institutions, including UPES University, BML Munjal University, Delhi Technical Campus, IP University, Northern India Engineering College, Baddi University of Emerging Science, and IFTM University and Physical Laboratory. Curriculum development was the hallmark of his academic journey; he had a lead role in designing innovative programs related to cutting-edge technological domains, especially at UPES and BMU.
His areas of research interest include Cyber Security, Cloud Computing, Big Data, Wireless Sensor Networks, and Healthcare. He has more than 100 research papers in reputed journals and conferences to his credit, and ten patents. He has authored Six textbooks on Cyber Security and Artificial Intelligence. He has received research support from various government and private organizations. In recognition of his expertise, Dr. Gupta has been a reviewer for several international journals. . He also serves on the Scientific Committee and Editorial Review Board on Engineering and Physical Sciences
A dedicated teacher, Dr. Gupta has guided many students in their research and project work. He has conducted various workshops, conferences, and Faculty Development Programs. He is regularly invited by private and government organizations as a technical expert. He has served on various expert panels, including the faculty recruitment and institutional assessment expert panels.
Dr. Monit Kapoor
An Academic Leader with 26 years' experience in Academia and Industry. Experience in Program Design for UG, PG, PhD in CSE. Founder member of many firsts in UG and PG level specialization program in CSE in Collaboration with industry giants like IBM, Xebia, Oracle etc in India. He is an expert in DevOps, Cloud Computing, AI, Algorithm Design etc. On board with government and multiple universities for academic advisory. Awarded among top 50 tech savvy academicians in India for 2019 and part of Core group to provide Mobile Security Guidelines to Ministry of Electronics and IT(MeITY). 4 PhD scholars have completed their PhD under my supervision and 5 are under progress. Has research interests in Artificial intelligence, Cognitive AI, Vehicular Fog Computing, Flying Adhoc Network, Mobile Ad-hoc Network, Wireless Sensor Network. Has written 55 research articles , 15 SCI articles, 42 Scopus Indexed, 40 in UGC care.
Dr. Sanjoy Kumar Debnath
He is an Assistant Professor in Faculty of Computer Science & Engineering. He received his Masters of Engineering from Universiti Teknologi Malaysia and PhD from Universiti Tun Hussein Onn Malaysia (UTHM). He perform a job in the field of modern technology where knowledge & experience can be utilized at the fullest ensuring necessary innovations with learning management and grow with the organization.
Chapter.1. Introduction to AI and Privacy issues for Healthcare systems.- Chapter.2. Sensor Based IOT Enabled Healthcare Systems and Role of AI and Security.- Chapter.3. Cybersecurity Risks and Threats in Healthcare.- Chapter.4 AI-Based Cybersecurity Solutions for Healthcare.- Chapter.5 AI and Healthcare Analytics.- Chapter.6. Challenges and Risks of AI-Enabled Healthcare Security.- Chapter.7 Best Practices for Implementing AI-Enabled Healthcare Security.- Chapter.8 Impact of AI-Enabled Healthcare Security on Patient Outcomes.- Chapter.9. Future Directions for AI-Enabled Healthcare Security.- Chapter.10 Future Research Directions and Conclusion.
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