
Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing
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Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals
Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface
Highlights the latest machine learning and deep learning methods for neural signal processing
Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis
Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques
It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.
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Ram Bilas Pachori received a B.E. degree with honours in electronics and communication engineering from Rajiv Gandhi Technological University, Bhopal, India, in 2001, and M.Tech. and Ph.D. degrees in electrical engineering from IIT Kanpur, India, in 2003 and 2008, respectively. Before joining the IIT Indore, India, faculty, he was a postdoctoral fellow at the Charles Delaunay Institute, University of Technology of Troyes, France (2007-2008) and an Assistant Professor at the Communication Research Center, International Institute of Information Technology, Hyderabad, India (2008-2009). He was an assistant professor (2009-2013) and an associate professor (2013-2017) at the Department of Electrical Engineering, IIT Indore, where he has now been a Professor since 2017. He is also associated with the Center for Advanced Electronics, IIT Indore. He was a visiting professor at the Department of Computer Engineering, Modeling, Electronics and Systems Engineering, University of Calabria, Rende, Italy, in July 2023; Faculty of Information & Communication Technology, University of Malta, Malta, from June 2023 to July 2023; Neural Dynamics of Visual Cognition Lab, Free University of Berlin, Germany, from July 2022 to September 2022; School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Malaysia, from 2018 to 2019. Previously, he was a Visiting Scholar at the Intelligent Systems Research Center, Ulster University, Londonderry, UK, in December 2014. His research interests include signal and image processing, biomedical signal processing, non-stationary signal processing, speech signal processing, brain-computer interface, machine learning, and artificial intelligence and the Internet of Things in health care. He is an Associate Editor of Electronics Letters, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and Biomedical Signal Processing and Control, and an Editor of IETE Technical Review. He is a Fellow of IETE, IEI, and IET. He has 307 publications: journal articles (189), conference papers (82), books (10), and book chapters (26). He has also eight patents, including one Australian patent (granted) and seven Indian patents (published). His publications have been cited approximately 15,000 times with an h-index of 66 according to Google Scholar.
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