Pandemic Detection and Analysis Through Smart Computing Technologies (智慧計算技術下的疫情偵測與分析)

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被應用於全球健康危機，以及未來的應用潛力。分析了針對病毒檢測、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，現任印度德里Netaji Subhas科技大學計算機科學與工程系的教職。他曾擔任印度中央大學Indira Gandhi National Tribal University計算機科學系的副教授，擁有超過18年的教學、行政和研究經驗。目前，他擔任多個期刊和會議的主編、編輯、主席及成員。他指導了許多碩士和博士生的論文，目前正在指導兩名碩士生和四名博士生。他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。Dr. Raw已出版兩本書籍及超過100篇國際期刊和會議的研究論文，包括IEEE、Elsevier、Springer、Wiley & Sons、Taylor & Francis、Inderscience、Hindawi、IERI Letters、美國物理學會等。

Vishal Jain, PhD，現任印度大諾伊達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，他曾在新德里的Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM)擔任副教授多年。他在學術界擁有超過14年的經驗，Google Scholar的研究引用指數超過400（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，撰寫和編輯了超過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）、微軟認證專業人員（MCP）和思科認證網絡助理（CCNA）資格。

Sanjoy Das, PhD，現任印度Amarkantak的Indira Gandhi National Tribal University（中央政府大學）計算機科學系副教授及系主任。在加入IGNTU之前，他曾在印度Galgotias大學計算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Assam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多篇論文，包括與IEEE和Springer相關的論文。他的學士、碩士和博士學位均為計算機科學。

Meenakshi Sharma, PhD，現任印度大諾伊達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。她在教學和研究方面擁有超過16年的經驗。她是IEEE的高級會員，擁有計算機科學與工程的碩士學位及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、影像處理、大數據分析、數據壓縮以及數位和數據倉儲。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 Transaction、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。