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This book presents research on how interpretable cognitive IoT can work to help with the massive amount of data in the healthcare industry. The authors give importance to IoT systems with intense machine learning features; this ensures the scope corresponds to use of cognitive IoT for understanding, reasoning, and learning from medical data. The authors discuss the interpretability of an intelligent system and its trustworthiness as a smart tool in the context of massive healthcare applications. As a whole, book combines three important topics: massive data, cognitive IoT, and interpretability. Topics include health data analytics for cognitive IoT, usability evaluation of cognitive IoT for healthcare, interpretable cognitive IoT for health robotics, and wearables in the context of IoT for healthcare. The book acts as a useful reference work for a wide audience including academicians, scientists, students, and professionals.
作者簡介
Dr. Deepak Gupta is an eminent academician; plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, Ph.D. and post-doctorate supervision, etc. With 13 years of rich expertise in teaching and two years in the industry; he focuses on rational and practical learning. He has contributed massive literature in the fields of Human-Computer Interaction, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning, and Soft Computing. He is working as Assistant Professor at Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India. He has served as Editor-in-Chief, Guest Editor, Associate Editor in SCI, and various other reputed journals. He has authored/edited 44 books with National/International level publishers (Elsevier, Springer, Wiley, Katson). He has published 158 scientific research publications in reputed International Journals and Conferences including 80 SCI Indexed Journals of IEEE, Elsevier, Springer, Wiley, and many more. He is senior IEEE member too. He has 3 published patents to his credit.
Dr. Ashish Khanna has 16 years of expertise in Teaching, Entrepreneurship, and Research & Development He received his Ph.D. degree from the National Institute of Technology, Kurukshetra in 2017. He has completed his M. Tech. in and B. Tech. from GGSIPU, Delhi in the year of 2009 and 2004 respectively. He has completed his postdoc from the Internet of Things Lab at Inatel, Brazil, and the University of Valladolid, Spain. He has around 61 SCI-indexed papers in IEEE Transaction, Springer, Elsevier, Wiley, and many more reputed Journals with a cumulative impact factor of above 175 to his credit. He has published around 125 research articles in the form of top SCI/ Scopus journals, conferences, and book chapters. He is a co-author and co-editor of around 28 edited and textbooks. His research interest includes Data Science, Bio-Medical, Distributed Systems, MANET, FANET, VANET, IoT, Evolutionary Computing, and many more. He has served the research field as a Keynote Speaker/ Faculty Resource Person/ Session Chair/ Reviewer/ TPC member/ post-doctorate supervision. He is convener and Organizer of ICICC and ICDAM conference series. He is currently working as Associate Prof. at the Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, under GGSIPU, Delhi, India. He is also serving as series editor in Elsevier and De Gruyter. He is senior IEEE member too. He has 3 published patents to his credit.
Prof. Joel J. P. C. Rodrigues (joeljr@ieee.org) [S'01, M'06, SM'06, F'20] is a professor at the Federal University of Piauí (UFPI), Brazil; senior researcher at the Instituto de Telecomunicações, Portugal; and collaborator of the Post-Graduation Program on Teleinformatics Engineering at the Federal University of Ceará (UFC), Brazil. He has been professor at the National Institute of Telecommunications, Brazil; University of Beira Interior (UBI), Portugal and visiting professor at the University of Fortaleza (UNIFOR), Brazil. He received the Academic Title of Aggregated Professor in computer science and engineering from UBI, the Habilitation in computer science and engineering from the University of Haute Alsace, France, a PhD degree in computer science and engineering and an MSc degree from the UBI, and a five-year BSc degree (licentiate) in computer science and engineering from the University of Coimbra, Portugal. His main research interests include IoT and sensor networks, ehealth technologies, vehicular communications, and mobile and ubiquitous computing. Prof. Rodrigues is the leader of the Next Generation Networks and Applications research group (CNPq), IEEE Distinguished Lecturer [2018-2021], Director for Conference Development - IEEE ComSoc Board of Governors [2018- 2019], Technical Activities Committee Chair of the IEEE ComSoc Latin America Region Board [2018-2019], the President of the scientific council at ParkUrbis - Covilhã Science and Technology Park, a Past-Chair of the IEEE ComSoc Technical Committee on eHealth, a Past-chair of the IEEE ComSoc Technical Committee on Communications Software, Steering Committee member of the IEEE Life Sciences Technical Community and Publications co-Chair, and Member Representative of the IEEE Communications Society on the IEEE Biometrics Council. He is the editor-inchief of the International Journal on E-Health and Medical Communications and editorial board member of several high-reputed journals. He has been general chair and TPC Chair of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LATINCOM. He is a member of many international TPCs and participated in several international conferences organization. He has authored or coauthored over 900 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. He had been awarded several Outstanding Leadership and Outstanding Service Awards by IEEE Communications Society and several best papers awards. Prof. Rodrigues is a licensed professional engineer (as senior member), member of the Internet Society, a senior member of ACM, and an IEEE Fellow.
作者簡介(中文翻譯)
烏特庫·科斯博士於2008年獲得土耳其加茲大學計算機教育學士學位,並以優異成績畢業。他於2010年在土耳其阿夫永科卡特佩大學獲得計算機碩士學位,並於2017年在土耳其塞爾丘克大學獲得計算機工程博士學位。2009年至2011年間,他在阿夫永科卡特佩大學擔任研究助理。隨後,他於2011年至2012年間擔任該校講師及職業學校副主任,2012年至2017年間擔任烏薩克大學的講師及研究中心主任,並於2017年至2019年間擔任蘇萊曼·德米雷爾大學的助理教授。目前,他是土耳其蘇萊曼·德米雷爾大學的副教授。他擁有超過100篇的出版物,包括文章、著作及編輯書籍、會議論文和報告。他也是CRC Press出版的生物醫學與機器人醫療系列的系列編輯之一。他的研究興趣包括人工智慧、機器倫理、人工智慧安全、優化、混沌理論、遠程教育、電子學習、計算機教育和計算機科學。
深帕克·古普塔博士是一位傑出的學者,擔任多重角色,負責講課、研究、出版、顧問、社區服務、博士及博士後指導等工作。他擁有13年的教學經驗和2年的產業經驗,專注於理性和實用的學習。他在人體與計算機互動、智能數據分析、自然啟發計算、機器學習和軟計算等領域貢獻了大量文獻。他目前在印度德里馬哈拉賈·阿格拉森技術學院(GGSIPU)擔任助理教授。他曾擔任SCI及其他多個知名期刊的主編、客座編輯和副編輯。他與國內外出版社(如Elsevier、Springer、Wiley、Katson)共同編著了44本書籍。他在知名國際期刊和會議上發表了158篇科學研究論文,包括80篇SCI索引的IEEE、Elsevier、Springer、Wiley等期刊。他也是IEEE的資深會員,擁有3項已發表的專利。
阿希什·卡納博士在教學、創業和研究與開發方面擁有16年的專業經驗。他於2017年獲得庫魯克舍特拉國立技術學院的博士學位,並於2009年和2004年分別在GGSIPU獲得碩士和學士學位。他在巴西Inatel的物聯網實驗室和西班牙巴利亞多利德大學完成了博士後研究。他在IEEE Transactions、Springer、Elsevier、Wiley等多個知名期刊上發表了約61篇SCI索引論文,累計影響因子超過175。他已發表約125篇研究文章,涵蓋頂級SCI/Scopus期刊、會議和書籍章節。他是約28本編輯和教科書的共同作者和共同編輯。他的研究興趣包括數據科學、生物醫學、分散式系統、MANET、FANET、VANET、物聯網、進化計算等。他曾擔任關鍵演講者、教學資源人員、會議主席、審稿人、TPC成員及博士後指導等職務。他是ICICC和ICDAM會議系列的召集人和組織者。目前,他在印度德里馬哈拉賈·阿格拉森技術學院計算機科學與工程系擔任副教授,並在Elsevier和De Gruyter擔任系列編輯。他也是IEEE的資深會員,擁有3項已發表的專利。
喬爾·J·P·C·羅德里格斯教授(joeljr@ieee.org)[S'01, M'06, SM'06, F'20] 是巴西皮奧伊聯邦大學(UFPI)的教授;同時也是葡萄牙電信研究所的高級研究員。