Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference Misp 2022, Volume 1

Dilip Singh Sisodia is an Associate Professor and Head at the Department of Computer Science Engineering of National Institute of Technology Raipur. Dr. Sisodia contributed over 100 high-impact articles in reputed journals, conference proceedings, and edited volumes. He also edited Scopus indexed research book volumes published by Springer Nature and IGI Global. Dr. Sisodia was included in the World Ranking of Top 2% Scientists/researchers in 2022 by a study of Scientists from Stanford University USA and Published by Elsevier B.V. So far he has supervised four Ph.D. thesis, eight M.Tech. dissertations and more than 50 B.Tech. projects. He is a Senior Member of IEEE and ACM. He received a Ph.D. degree in computer science and engineering from the National Institute of Technology Raipur, India. He earned his M.Tech. and B.E. degrees, respectively, in information technology (with specialization in artificial intelligence) and computer science and engineering from the Rajiv Gandhi Technological University, Bhopal, India. His research interests include the applications of machine learning/soft computing techniques, artificial intelligence, biomedical signal, and image processing.

Lalit Garg is a Senior Lecturer in the Department of Computer Information Systems at the University of Malta, Malta, and an Honorary Lecturer at the University of Liverpool, UK. He has been a Researcher at the Nanyang Technological University, Singapore, and Ulster University, UK, has supervised 200+ Master's dissertations, two DBA, and two Ph.D. theses, and published 120+ high-impact publications in refereed journals/conferences/books, five edited books, and 20 patents. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), information systems, management science, and their applications mainly in healthcare and medical domains.

Ram Bilas Pachori received a B.E. degree with honors in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India, in 2001, the M.Tech. and Ph.D. degrees in Electrical Engineering from Indian Institute of Technology (IIT) Kanpur, Kanpur, India, in 2003 and 2008, respectively. He was Postdoctoral Fellowship Holder at Charles Delaunay Institute, the University of Technology of Troyes, Troyes, France, from 2007 to 2008. He is a Professor in the Department of Electrical Engineering at IIT Indore, India. His research interests are in the areas of signal and image processing, biomedical signal processing, non-stationary signal processing, speech signal processing, brain-computer interfacing, machine learning, and artificial intelligence in health care. He has supervised 14 Ph.D., 20 M.Tech., and 41 B.Tech. students for their theses and projects. He has over 235 publications which include journal papers, conference papers, books, and chapters. He has worked on various research projects with fundingsupport from SERB, DST, DBT, and CSIR.

M. Tanveer is an Associate Professor and Ramanujan Fellow at the Discipline of Mathematics of the Indian Institute of Technology Indore. Prior to that, he worked as Postdoctoral Research Fellow at the Rolls-Royce@NTU Corporate Lab of the Nanyang Technological University, Singapore. He received a Ph.D. degree in Computer Science from the Jawaharlal Nehru University, New Delhi, India. His research interests include support vector machines, optimization, machine learning, deep learning, and applications to Alzheimer's disease and dementia. He has published over 80 research papers in journals of international repute.

Dilip Singh Sisodia是印度國家技術研究所Raipur分校計算機科學工程系的副教授和系主任。Sisodia博士在知名期刊、會議論文和編輯的專著中發表了100多篇高影響力的文章。他還編輯了由Springer Nature和IGI Global出版的Scopus索引研究書籍。Sisodia博士在2022年被斯坦福大學科學家進行的研究並由Elsevier B.V.出版的報告中被列入全球排名前2%的科學家/研究人員。到目前為止，他指導了四個博士論文、八個碩士論文和50多個學士專題。他是IEEE和ACM的高級會員。他在印度Raipur的國家技術研究所獲得了計算機科學和工程博士學位。他在印度Bhopal的Rajiv Gandhi技術大學分別獲得了信息技術（專業為人工智能）和計算機科學和工程的碩士和學士學位。他的研究興趣包括機器學習/軟計算技術、人工智能、生物醫學信號和圖像處理的應用。

Lalit Garg是馬爾他大學計算機信息系的高級講師，也是英國利物浦大學的名譽講師。他曾在新加坡南洋理工大學和英國阿爾斯特大學擔任研究員，指導了200多個碩士論文、兩個工商管理碩士學位和兩個博士論文，並在被引用期刊/會議/書籍中發表了120多篇高影響力的論文，編輯了五本書和20項專利。他的研究興趣主要集中在商業智能、機器學習、數據科學、深度學習、雲計算、移動計算、物聯網、信息系統、管理科學以及這些領域在醫療保健領域的應用。

Ram Bilas Pachori於2001年在印度Bhopal的Rajiv Gandhi技術大學獲得了榮譽的電子與通信工程學士學位，並於2003年和2008年在印度理工學院（IIT）坎普爾分校獲得了電氣工程的碩士和博士學位。他在2007年至2008年期間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。他是印度印多爾理工學院電氣工程系的教授。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-計算機界面、機器學習和醫療保健中的人工智能。他指導了14個博士、20個碩士和41個學士學生的論文和項目。他發表了超過235篇論文，包括期刊論文、會議論文、書籍和章節。他曾與SERB、DST、DBT和CSIR等機構合作進行各種研究項目。

M. Tanveer是印度印多爾理工學院數學學科的副教授和Ramanujan研究員。在此之前，他曾在新加坡南洋理工大學的羅爾斯-羅伊斯@NTU企業實驗室擔任博士後研究員。他在印度尼赫魯大學獲得了計算機科學博士學位。他的研究興趣包括支持向量機、優化、機器學習、深度學習以及在阿茲海默症和癡呆症方面的應用。他在國際知名期刊上發表了80多篇研究論文。