Synopsis
Each day, novel neuroscientific findings show that researchers are focusing on developing advanced smart hardware designs and intelligent computational models to imitate the human brain's computational abilities. The advancements in smart materials provide a significant role in inventing intelligent bioelectronic device designs with smart features such as accuracy, low power consumption, and more. These advanced and intelligent computing models through machine and smart deep learning algorithms help to understand the information processing capabilities of the human brain with optimum accuracy.
The Handbook of Research on Futuristic Design and Intelligent Computational Techniques in Neuroscience and Neuroengineering highlights advanced computational models and hardware designs in neurology and integration of mathematical physical, biological, chemical, and engineering models to mimic brain functions; discovers new technological diagnosis techniques; and achieves high accuracy in learning models to better understand the functioning of the human brain. Providing rich information on brain-computer interfacing, gamification in children, and vestibular rehabilitation, this text acts as an essential resource for experts in electrophysiological studies, neurologists, neuro-physiotherapists, neuro-radiologists, intelligent system developers, bio-software and hardware developers, neuro database collectors, electro-physiologists, professors associated with neurology, psychiatrists, engineers, scientists, and students from academia and industry involved in interdisciplinary approaches to neurology.
About the Authors
Harjit Pal Singh is Associate Professor & Assistant Director (Research & Innovation) at CT Institute of Engineering, Management and Technology, Jalandhar. He has completed his Doctorate from National Institute of Technology, Jalandhar, Punjab. His area of interest is Intelligent Signal Processing, Voice over Internet Protocol, Wireless Sensor Networks, IOT, Artificial Intelligence, Wireless Communication, Computational Optimizations, Biomedical Signal Processing, Digital Filter Design, and Engineering Physics. His research and teaching experience is 12 years. His research findings have been published through more than 50 research papers published in referred/indexed journals and international conferences. He is the editor of 3 books with reputed international publishers such as Taylor & Francis, CRC Press, IGI USA etc. He has attended and presented his research findings in different countries such as France, UK, USA, Dubai, Hong Kong etc. He has chaired number of national/international conferences and also delivered expert talks on burning areas in signal processing, IoT, wireless sensor network etc. In academics and research, he successfully guided 2 PhD scholars and 5 PhD scholars are working under his supervision. At Master level, he has guided 29 Masters Dissertations and 5 Master students working under his supervision.
Anurag Sharma is doctorate from Dr B. R. Ambedkar National Institute of Technology, Jalandhar in the field of Artificial Intelligence for Health Care. He is M.Tech and B.Tech from Punjab Technical University, Jalandhar. He has more than 15 years of total experience in Teaching as well as in Industry. He worked with various industries like BEL, Punjab Communication Limited, Elcom Systems and in various institutions like DAVIET, Jalandhar, CT Group of Institutions, Jalandhar etc. He is presently working with GNA University as Professor in Faculty of Engineering, Design and Automation. He is recipient of ISTE best teacher’s award thrice and is Wipro Mission 10x certified faculty member. He has guided more than 25 M.Tech students dissertation and is guiding 06 PhD scholars. He has published more than 80 research articles in reputed International journals/conferences. He has received grants from Indian Council of Medical Research (ICMR), Department of Science and Technology (DST) and other funding agencies for his research work.
Vikas Khullar is working as an Assistant Professor in the Department of Computer Science and Engineering at Chitkara University Institute of Engineering and Technology, Punjab, India. Dr Vikas received his doctorate degree in Computer Science and Engineering from IKG Punjab Technical University in 2020. The present area of his research is to develop assistive technologies to support individuals with neurological disorders. He is experienced in the area of intelligent, scalable and real time systems to develop assistive technologies. He has published 50 research papers in reputed journals and conferences.
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