Medical Internet of Things: Perspectives, Impact and Challenges

Amit Kumar Tyagi
Édition Shabnam Kumari
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Medical Internet of Things: Perspectives, Impact and Challenges

Amit Kumar Tyagi
Édition Shabnam Kumari
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432 PAGESANGLAIS

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  • Date de publication : Apr 20, 2026
  • Langue : anglais
  • Nombre de pages : 432
  • Éditeur : CRC Press
  • ISBN : 9781041085355
  • Dimensions : 6.13" W x 1.0" L x 9.19" H

Amit Kumar Tyagi has a PhD from Pondicherry Central University, Puducherry, India. He is presently working as an Assistant Professor at National Forensic Sciences University, Gandhinagar, India. Prior to this he was as an assistant professor at several institutes like Lord Krishna College of Engineering, Ghaziabad (LKCE) (for the periods of 2009-2010, and 2012-2013, Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad (2018-2019), VIT Chennai (2019-2022) and NIFT New Delhi (2022-2025). His supervision experience includes more than 10 Masters' dissertations and one PhD thesis. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to the privacy breaches in Vehicular Applications like parking and Medical Cyber Physical Systems. His research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, and ISTE. He is a senior member of IEEE.

Shabnam Kumari is a PhD scholar in the Department of Computer Science and Engineering, SRM University, Chennai, India. She has more than 3 years of experience including teaching, research and other areas. She has completed her MCA from YMCA University of Science and Technology, Faridabad. She has filed 5 national and international patents in the area of IoTs, Machine Learning, Deep Learning and Wireless Network, and has published 3 research articles in conference proceeding and journals. Her areas of interest are Machine Learning, Deep Learning, etc. She is a life time member of ACM- Women, SCRS.

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