Revolutionizing AI With Brain-Inspired Technology: Neuromorphic Computing

As artificial intelligence (AI) continues to evolve, neuromorphic computing stands at the forefront of this revolution, offering a transformative approach by mimicking the structure and function of the human brain. This cutting-edge technology is reshaping AI, making it more efficient, adaptive, and capable of complex tasks that were once thought impossible. Neuromorphic computing has the potential to revolutionize industries such as healthcare, robotics, and autonomous vehicles, driving advancements that could redefine the future of technology and its applications in everyday life. Understanding this emerging field is crucial for anyone involved in AI development or interested in the next frontier of technological innovation. Revolutionizing AI with Brain-Inspired Technology: Neuromorphic Computing covers neuromorphic computing, its real-world applications, and the latest advancements pushing the boundaries of AI. By offering a comprehensive overview and inspiring new research, this book plays a pivotal role in shaping the future of AI and its impact on various sectors. This volume is an essential resource for researchers, academics, professionals, and policymakers who seek to understand the principles and potential of neuromorphic computing as well as the societal implications of these technologies.

Umesh Kumar is a distinguished academician and researcher with over 18 years of experience in Computer Science and Engineering. Currently serving as a Professor in the Department of Computer Science and Engineering at Galgotias University, Dr. Kumar holds a Ph.D. and M.Tech in CSE. He has also completed a post-doctoral degree in ML. Dr. Kumar's research interests encompass ML,DL, and he has contributed significantly to the field through his research, publications, and academic endeavors. Known for his dedication to teaching and research, Dr. Kumar is committed to fostering a dynamic learning environment for his students and collaborating with colleagues to advance the field of Computer Science and Engineering.

Yogesh Kumar Sharma is a seasoned professional with over 17 years of experience in the field of Computer Science and Engineering. Currently serving as a Professor in the Department of Computer Science and Engineering at KL University, he brings a wealth of knowledge and expertise to his role. Professor Sharma has a strong academic background, holding a Ph.D. in Computer Science and Engineering.His areas of interest include artificial intelligence, machine learning, and natural language processing. Professor Sharma is dedicated to fostering a dynamic learning environment and is committed to the academic and professional growth of his students.

Sarita Simaiya is a distinguished Professor at the School of Computing Science & Engineering (CSE) at Galgotias University, Greater Noida. Boasting over 17 years of teaching and 8 years of research experience, Dr. Sarita has held esteemed positions at various prestigious universities and colleges in India and abroad. With a Ph.D. and M.Tech, BE in CSE, Dr. Sarita completed postdoctoral research at the Institute of Advanced Computing, University of Louisiana at Lafayette. His extensive publication record includes articles in reputed, peer-reviewed national and international Scopus journals and conferences.

Sandeep Kumar is a highly accomplished academic and researcher with extensive expertise in Machine Learning, Embedded Systems, Image Processing, Biometrics, and Computer Vision. He holds the position of Professor in the Department of Computer Science and Artificial Intelligence at SR University, Warangal, Telangana, India, an institution with an A+ NAAC accreditation. Dr. Kumar has completed two Post-Doctoral fellowships: the first at Pentagram Pvt. Ltd., India in August 2021, and the second at the Singapore Institute of Technology, Singapore in 2024. His research achievements include 30 granted patents, comprising 8 Utility Patents, 14 Design Patents, and 8 International Patents. He has also authored 17 books published by prestigious international publishers such as Wiley, Taylor & Francis, IGI Global, Intech Open, and Scholar Press. Currently, four more books are in press, and two additional books are in the pipeline. Throughout his career, Dr. Kumar has received 17 awards for his contributions to academia and research. Notable recognitions include the “Best Paper Presentation” awards in Nepal and India in 2017 and 2018, the “Best Performer Award” in Hyderabad in 2018, the “Young Researcher Award” in Thailand in 2018, the “Best Excellence Award” in Delhi in 2019, and the “Excellence in Academics Award” in Chennai in 2020. In 2024, Dr. Kumar received the “Award of Certificate” from the USA Book of World Records on November 28th. This year, through the blessings of God and the support of others, his name was also shortlisted in the Top 2% Scientists Worldwide by Elsevier and Stanford University in 2024. Dr. Kumar has been invited 17 times as a guest speaker at Scopus Indexed IEEE/Springer Conferences and has served as an expert in various colleges and universities across India on 14 occasions. He is an active member of 22 international professional societies and has been nominated to the editorial and review boards of more than 30 peer-reviewed Journals/Conferences, including those published by Nature, IEEE, MDPI, Springer, Bentham Science, and Elsevier. In addition to his research, Dr. Kumar has guided 23 M. Tech and 2 Ph.D. scholars and is currently supervising 5 Ph.D. scholars and 2 M.Tech scholars. He has published more than 200 research papers in prominent International and National Journals, including IEEE and Springer, as well as in the proceedings of esteemed conferences. Dr. Kumar has also organized 3 International Conferences and 21 Workshops and has attended 51 seminars, workshops, and short-term courses, including those at IITs.

Munish Kumar is an Assistant Professor in the CSE Department at KL University. He holds a Ph.D. in CSE and has a strong background in AI and ML Research Areas. With a passion for teaching and research, Dr. Munish is dedicated to fostering a dynamic learning environment for students. His research interests include AI, ML and Deep Learning, and he has published extensively in reputed journals and conferences. Dr. Munish is committed to contributing to the academic and research community and is actively involved in research.