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This book contains peer-reviewed papers presented at the 4th International Conference on Emerging Electronics and Automation (E2A) 2024. It aims to provide a compilation of the scientific exchanges during the NIT Silchar, India conference. The proceedings cover the latest scientific endeavors and accomplishments in various emerging fields, including instrumentation, control, signal processing, communication, and related computational techniques. The book seeks to present the global audience with updates, novel findings, and solutions to challenging questions in the field while inspiring…mehr

Produktbeschreibung
This book contains peer-reviewed papers presented at the 4th International Conference on Emerging Electronics and Automation (E2A) 2024. It aims to provide a compilation of the scientific exchanges during the NIT Silchar, India conference. The proceedings cover the latest scientific endeavors and accomplishments in various emerging fields, including instrumentation, control, signal processing, communication, and related computational techniques. The book seeks to present the global audience with updates, novel findings, and solutions to challenging questions in the field while inspiring aspiring scientists to engage in meaningful research. The field of instrumentation encompasses various disciplines, such as electronics, computation, automation, microelectronic technology, nanomaterials, and biomedical engineering applications. Hence, this publication will appeal to a diverse audience within the scientific and engineering domains.
Autorenporträt
Prof. Mohan Kankanhalli, Director of NUS AI Institute, currently holds the distinguished position of Provost's Chair Professor of Computer Science. He is also the Deputy Executive Chairman of AI Singapore, which is Singapore's national AI program. He was formerly the Dean of NUS School of Computing during 2016-2022. Before becoming the Dean, he was the NUS Vice Provost (Graduate Education) during 2014-2016 and Associate Provost (Graduate Education) during 2011-2013. Earlier, he was the Vice-Dean for Academic Affairs & Graduate Studies at the NUS School of Computing during 2008-2010 and Vice-Dean for Research during 2001-2007. Professor Kankanhalli's research interests are in Multimodal Computing, Computer Vision, and Trustworthy AI. He has made many contributions in the areas image and video understanding, visual saliency as well as in content authentication and privacy. He is on the editorial boards of several journals including ACM Transactions on Multimedia Computing, Communications and Applications, Springer Multimedia Systems, IEEE Multimedia, and Springer Journal on Big Data. Prof. Kankanhalli is a member of the World Economic Forum's Global Future Council on the Future of Artificial Intelligence.   Prof. Sharad Bhartiya is a Professor at the Department of Chemical Engineering at the Indian Institute of Technology Bombay, Mumbai, India. He received his Ph.D. degree in Chemical Engineering from Oklahoma State University in 2000. From 2000 to 2002 he worked as a Postdoctoral fellow at the University of Delaware. His current research interests include system identification, estimation, and model predictive control of switched/hybrid dynamic systems and optimization of large-scale dynamic systems with a focus on AI/ML interventions in all of the above areas. On the applications side, Professor Bhartiya is involved in novel approaches for simulation moving bed chromatography, optimal operation of solar thermal power plants, and fuel cell integration with other energy systems.   Dr. Pravin P.S. is an Assistant Professor in the Department of Electronics & Instrumentation Engineering at the National Institute of Technology Silchar, Assam, India.  He obtained his B.Tech. degree in Electronics & Instrumentation Engineering from Mahatma Gandhi University, Kerala in 2009. Subsequently, he received his M.Tech. degree in Electrical & Electronics Engineering with specialization in Industrial Instrumentation & Control Engineering from the University of Kerala in 2011. He was awarded the Ph.D. degree from the Indian Institute of Technology Bombay in the year 2020. He then served as a post-doctoral researcher with the Department of Chemical & Biomolecular Engineering at the National University of Singapore. His research interests include advanced process control, process modeling & simulation, process optimization, artificial intelligence/machine learning, scheduling & planning, renewable energy systems, fuel cells, and batteries. He is an active reviewer of various reputed journals and conferences.