Artificial Intelligence Enabled Signal Processing Based Models for Neural Information Processing

這本書提供了關於應用不同信號處理和基於人工智能的方法進行腦電圖數據分析的詳細資訊。

Rajesh Kumar Tripathy received a B.Tech degree in Electronics and Telecommunication Engineering from the Biju Patnaik University of Technology (BPUT), Odisha, India, in 2009; and the M.Tech degree in Biomedical Engineering from the National Institute of Technology (NIT) Rourkela, Rourkela, India, in 2013; and a Ph.D. degree in machine learning for biomedical signal processing from the Indian Institute of Technology (IIT) Guwahati, Guwahati, India in 2017. He worked as an Assistant Professor at the Faculty of Engineering and Technology (FET), Siksha `O' Anusandhan Deemed to be University from March 2017 to June 2018. Since July 2018, he has worked as an Assistant Professor in the Department of Electrical and Electronics Engineering (EEE), Birla Institute of Technology and Science (BITS), Pilani, Hyderabad Campus. His research interests are machine learning, deep learning, biomedical signal processing, sensor data processing, medical image processing, and the Internet of Things (IoT) for healthcare. He has published research papers in reputed international journals and conferences. He has served as a reviewer for more than 15 scientific journals and served as a technical program committee (TPC) member in various national and international conferences. He is an associate editor for IEEE Access and Frontier in Physiology journals.

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.

Rajesh Kumar Tripathy於2009年從印度奧里薩邦的Biju Patnaik科技大學獲得電子與通訊工程的學士學位，並於2013年從印度Rourkela的國家技術學院獲得生物醫學工程的碩士學位，以及於2017年從印度古瓦哈提的印度理工學院獲得生物醫學信號處理的機器學習博士學位。他曾於2017年3月至2018年6月擔任Siksha `O' Anusandhan大學工程與技術學院的助理教授。自2018年7月起，他在比爾拉理工學院海得拉巴校區的電氣與電子工程系擔任助理教授。他的研究興趣包括機器學習、深度學習、生物醫學信號處理、傳感器數據處理、醫學影像處理和醫療物聯網。他在知名國際期刊和會議上發表了研究論文，並擔任了15多個科學期刊的審稿人，以及多個國際和國內會議的技術計劃委員會成員。他是《IEEE Access》和《Frontier in Physiology》期刊的副編輯。

Ram Bilas Pachori於2001年從印度Bhopal的拉吉夫甘地技術大學獲得電子與通訊工程的榮譽學士學位，並分別於2003年和2008年在印度理工學院坎普爾校區獲得電氣工程的碩士和博士學位。在加入印度印多爾理工學院之前，他曾在法國特魯瓦大學的查爾斯·德隆內研究所擔任博士後研究員（2007-2008年），並在印度海得拉巴的國際資訊技術學院通信研究中心擔任助理教授（2008-2009年）。他曾在印度理工學院印多爾校區擔任助理教授（2009-2013年）和副教授（2013-2017年），自2017年起擔任教授。他還與印度理工學院印多爾校區的高級電子中心有合作關係。他曾於2023年7月在意大利倫德的卡拉布里亞大學計算機工程、建模、電子和系統工程系擔任訪問教授；於2023年6月至2023年7月在馬爾他的馬爾他大學資訊與通訊技術學院擔任訪問教授；於2022年7月至2022年9月在德國柏林的自由大學神經視覺認知實驗室擔任訪問教授；於2018年至2019年在馬來西亞泰勒大學醫學與健康科學學院擔任訪問教授。他曾於2014年12月在英國倫敦德里的阿爾斯特大學智能系統研究中心擔任訪問學者。他的研究興趣包括信號和圖像處理、生物醫學信號處理、非穩態信號處理、語音信號處理、腦-電腦界面、機器學習以及人工智能和醫療物聯網。他是《Electronics Letters》、《IEEE Transactions on Neural Systems and Rehabilitation Engineering》和《Biomedical Signal Processing and Control》的副編輯，以及《IETE Technical Review》的編輯。他是IETE、IEI和IET的會士。他發表了307篇論文，包括期刊文章（189篇）、會議論文（82篇）、書籍（10本）和書籍章節（26篇）。他還擁有八項專利，其中包括一項澳大利亞專利（已授權）和七項印度專利（已發表）。根據Google Scholar的統計，他的論文被引用約15,000次，h指數為66。