Pandemic Detection and Analysis Through Smart Computing Technologies
暫譯: 透過智慧計算技術進行疫情偵測與分析

探討了物聯網（IoT）和人工智慧（AI）技術在 COVID-19 全球大流行期間所扮演的多樣角色。討論了最先進的技術如何在全球健康危機中被應用及其潛在應用。著眼於病毒檢測、預測、分類、預防和溝通推廣的新技術解決方案。

Ram Shringar Raw, PhD, is working in the Department of Computer Science and Engineering of Netaji Subhas University of Technology, East Campus, Delhi, India. He formerly worked as an Associate Professor in the Department of Computer Science, Indira Gandhi National Tribal University (A Central University, MP). He has more than 18 years of teaching, administrative, and research experience. Currently, he is associated with a wide range of journals and conferences as Chief Editor, Editor, Chair, and member. He has guided many MTech and PhD students for their dissertation and thesis. Currently, he is guiding two MTech and four PhD students. His current research interest includes mobile ad hoc networks, vehicular ad hoc networks, and IoT cloud-based networks. Dr. Raw has published two books and more than 100 research papers in international journals and conferences, including those from IEEE, Elsevier. Springer, Wiley & Sons, Taylor & Francis, Inderscience, Hindawi, IERI Letters, American Institute of Physics, etc.

Vishal Jain, PhD, is Associate Professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P., India. Before that, he has worked for several years as Associate Professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in the academics. He has more than 400 research citation indices with Google Scholar (h-index score 10 and i-10 index 11). He has authored more than 85 research papers in conferences and journals, including the Web of Science and Scopus. He has authored and edited more than 10 books with various reputed publishers, including Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012-13 from the Computer Society of India and a Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi. He holds PhD (CSE), MTech (CSE), MBA (HR), MCA, MCP and CCNA.

Sanjoy Das, PhD, is Associate Professor and Head, Department of Computer Science, Indira Gandhi National Tribal University (a Central Government University), Amarkantak, M.P. (Manipur Campus), India. Before joining IGNTU he worked as an Associate Professor at the School of Computing Science and Engineering, Galgotias University, India, as well as Assistant Professor. He was also Assistant Professor at G. B. Pant Engineering College, Uttarakhand, and Assam University, Silchar, India. His current research interests include mobile ad hoc networks and vehicular ad hoc networks, distributed systems, and data mining. He has published numerous papers in international journals and conferences, including those associated with IEEE and Springer. He did his BE, MTech, and PhD degrees in Computer Science.

Meenakshi Sharma, PhD, is Dean and Professor in the School of Computer Science & Engineering of the University Center of Research & Development (UCRD) at Galgotias University, Greater Noida, India. She has over 16 years of experience in teaching and research. She is a Senior Member of IEEE and is a highly qualified professional with an MTech in Computer Science & Engineering and a PhD in Computer Science (both from Kurukshetra University). Her research interests are machine learning, image processing, big data analytics, data compression, and digital and data warehousing. She has published over 60 research papers in IEEE Transaction, SCIE, SCI and Scopus in machine learning, deep learning, and AI, in collaboration with international authors. She has published four international grant patents and seven Indian patents. She was awarded a Best Research and Teacher Award in 2017 and 2018. Dr. Sharma has capably guided three PhD candidates and 40+ students in undergraduate/postgraduate programs, with five currently under guidance. She is valuable member of various engineering societies, including ISTE, ACM, InSc, ISDS Society, Japan, IEAE, and many others.

Ram Shringar Raw, PhD，目前在印度德里Netaji Subhas科技大學計算機科學與工程系工作。他曾擔任印度印地拉甘地國立部落大學（中央大學，MP）計算機科學系的副教授。他擁有超過18年的教學、行政和研究經驗。目前，他擔任多本期刊和會議的主編、編輯、主席及成員。他指導了許多碩士和博士生的論文和學位論文。目前，他正在指導兩名碩士生和四名博士生。他目前的研究興趣包括移動自組網、車輛自組網和基於物聯網的雲端網絡。Raw博士已在國際期刊和會議上發表了兩本書和超過100篇研究論文，包括IEEE、Elsevier、Springer、Wiley & Sons、Taylor & Francis、Inderscience、Hindawi、IERI Letters、美國物理學會等的出版物。

Vishal Jain, PhD，是印度大諾伊達Sharda大學工程與技術學院計算機科學與工程系的副教授。在此之前，他曾在新德里Bharati Vidyapeeth的計算機應用與管理學院（BVICAM）擔任副教授多年。他在學術界擁有超過14年的經驗。他在Google Scholar上擁有超過400篇研究引用指數（h-index得分10，i-10指數11）。他在會議和期刊上發表了超過85篇研究論文，包括Web of Science和Scopus。他與多家知名出版社合作編著和編輯了超過10本書籍，包括Springer、Apple Academic Press、CRC、Taylor and Francis Group、Scrivener、Wiley、Emerald和IGI-Global。他的研究領域包括信息檢索、語義網、語義工程、數據挖掘、自組網和傳感器網絡。他曾獲得2012-13年度印度計算機學會的青年活躍成員獎，以及2017年度最佳教師獎和2019年度最佳研究者獎，均來自BVICAM，新德里。他擁有計算機科學博士（CSE）、計算機科學碩士（MTech）、人力資源碩士（MBA）、計算機應用碩士（MCA）、微軟認證專業（MCP）和思科認證網絡助理（CCNA）等學位。

Sanjoy Das, PhD，是印度Amarkantak的印地拉甘地國立部落大學（中央政府大學）計算機科學系的副教授及系主任。在加入IGNTU之前，他曾在印度Galgotias大學計算機科學與工程學院擔任副教授及助理教授。他還曾在烏塔拉坎德的G. B. Pant工程學院和印度Silchar的阿薩姆大學擔任助理教授。他目前的研究興趣包括移動自組網、車輛自組網、分散式系統和數據挖掘。他在國際期刊和會議上發表了大量論文，包括與IEEE和Springer相關的出版物。他在計算機科學領域獲得了BE、MTech和博士學位。

Meenakshi Sharma, PhD，是印度大諾伊達Galgotias大學研究與發展中心（UCRD）計算機科學與工程學院的院長及教授。她擁有超過16年的教學和研究經驗。她是IEEE的高級會員，並擁有計算機科學與工程的碩士學位和計算機科學的博士學位（均來自Kurukshetra大學）。她的研究興趣包括機器學習、圖像處理、大數據分析、數據壓縮以及數字和數據倉儲。她在機器學習、深度學習和人工智慧領域與國際作者合作發表了超過60篇研究論文，並在IEEE Transactions、SCIE、SCI和Scopus上發表。她已獲得四項國際專利和七項印度專利。她在2017年和2018年獲得最佳研究和教師獎。Sharma博士成功指導了三名博士候選人和40多名本科/研究生，當前有五名學生在指導中。她是多個工程學會的寶貴成員，包括ISTE、ACM、InSc、ISDS Society（日本）、IEAE等。