Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities (High-Performance Computing for Smart Healthcare)

Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities presents the applications of the healthcare sector in the context of futuristic smart cities. It explores various applications like the advancements in computational and network models along with the innovative paradigms for an able healthcare model. The book discusses the state-of-the-art intelligent network and computing paradigms and machine learning models for robust healthcare. This book is for academicians, researchers, and entrepreneurs working on healthcare-driven intelligent computing paradigms to secure futuristic smart cities. It includes several aspects of the challenges faced by a futuristic smart city in healthcare, includes challenges emanating from the immense data generated by the wearable sensors, data analysis, and security concerns owing to the patient-related data. It works as a pertinent resource on how cutting-edge technologies can be integrated to aptly provide solutions for the numerous challenges faced by the healthcare industry. Includes several use cases, practical challenges, and solutions for executing smart healthcare.

Features

• Covers a multitude of computing paradigms viz; Cloud computing, Fog Computing, and Mist Computing
• Healthcare is discussed leveraging smart city, so it can potentially identify the gaps and present some newer use cases to handle future pandemics
• The network aspect is also covered with an inclusion of the next-generation paradigm which is Software Defined Networking (SDN)
• Security and privacy issues are considered, which is crucial to handle security-related aspects
• Machine Learning models are also discussed to provide any entrepreneur develop a business model involving cutting-edge technologies

This book is for academicians, researchers, and entrepreneurs working on healthcare-driven intelligent computing paradigms to secure futuristic smart cities.

Diptendu Sinha Roy was born in Hooghly, India. He received his B.Tech. degree from Kalyani University, Kalyani, India, in 2003, and the M. Tech. and Ph.D. from the Birla Institute of Technology Mesra, Ranchi, India, in 2005 and 2010, respectively. He is currently with the National Institute of Technology Meghalaya, where he is the Head of the Department of Computer Science and Engineering. His current research interests include distributed, grid computing, cloud computing, fog computing, software reliability, and optimization in engineering. He also performs research on design and analysis of distributed infrastructure of power systems.

Mir Wajahat Hussain was born in Jammu & Kashmir, India. He received his B.Tech. degree from University of Kashmir, India, in 2014, and his master’s degree and Ph.D. from the National Institute of Technology Arunachal Pradesh and National Institute of Technology Meghalaya, India in 2017 and 2021 respectively. He is currently with the Alliance University, India, as an Assistant Professor. His research interests include software-defined networks and big data.

K. Hemant Kumar Reddy was born in Berhampur, India. He received the M. Tech. and Ph.D. degrees from Berhampur University, Bhanja Vihar, India, in 2008 and 2014, respectively. He is currently with the VIT-AP University, India, as an Associate Professor. He is also serving as an associate editor of Journal of Intelligent and Fuzzy Systems (JIFS). His research interests include distributed and grid computing, cloud computing, fog computing, and service-oriented architectures.

Deepak Gupta was born in Delhi, India. He has completed B.Sc. Honors in Physics from Delhi University, Delhi, and M.Sc. in Physics from Kumaun University, Nainital. He obtained his doctorate in Physics from the National Institute of Technology Meghalaya. He also worked as a research associate at NIT Meghalaya, Shillong. He is currently working at Galgotias University, Greater Noida. His areas of interest includes molecular electronics and soft matter computation.