Healthcare Informatics for Fighting Covid-19 and Future Epidemics

This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics.

Lalit Garg is an Information Technology innovator, academician, learner, teacher, developer, keynote speaker, Consultant, and researcher with a demonstrated history of working in the higher education industry and an excellent research publication record. He is skilled in solving complex problems using machine learning and data analytics, especially from the medicine and healthcare domain. Presently he is a Senior Lecturer in Computer Information Systems at the University of Malta, Msida, Malta. He is also an honorary lecturer at the University of Liverpool, UK. He has also worked as a researcher at the Nanyang Technological University, Singapore and the University of Ulster, UK. He has supervised more than 180 Masters' dissertations and guiding 4 PhD thesis. He is awarded a research studentship in Healthcare Modelling to carry out his PhD research studies in the faculty of computing and engineering at the University of Ulster, UK. His PhD research was nominated for the Operational Research Society Doctoral Prize "Most Distinguished Body of Research leading to the Award of a Doctorate in the field of OR". He participates in many EU-funded, and local funded projects, including a one million euros Erasmus+ Programme Capacity-Building projects in the field of Higher Education (CBHE) titled Training for Medical education via innovative eTechnology (MediTec). The University of Malta has awarded him the 2021-22 Research Excellence Fund for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare).

Dr Chinmay Chakraborty is an Assistant Professor at the Department of Electronics and Communication Engineering, BIT Mesra. His primary research areas include wireless body area networks, the Internet of Medical Things, energy-efficient wireless communications and networking, and point-of-care diagnosis. He received an Outstanding Researcher Award from TESFA in2016, a Global Peer Review Award from Publons in 2018, and a Young Faculty Award from VIFA in 2018. He is also the recipient of a Young Research Excellence Award and a Global Peer-Review Award.

Prof. Saïd Mahmoudi received his PhD in Computer Science in 2003 at the University of Lille. Since 2008 he has been an Associate Professor at the University of Mons, Faculty of Engineering, Computer Science Department. His topics of interest are artificial intelligence, medical imaging and analysis, image processing and computer-aided medical diagnosis, 2D and 3D retrieval and indexing, images annotation, and the Internet of Things. He has published extensively in books, international conferences, and international journals.

Victor Sohmen, PhD, EdD, is a former foreign-going ship captain and project cost-controls specialist. He has taught Project Management at universities in Europe, Asia, Australia, the US, and South America. In 1990 he presented his first PMI Global Conference paper, "The Project Manager as an Information Processor and Change Agent". He has also presented internationally at IPMA, ILA, AACE, AACEI, AIPM, AERA, INTED, and INTCESS conferences, including as Keynote Speaker and Track Chair in Management, Educational Technology, and Cross-cultural Studies. In 1995 he won the Canadian Governor-General's Gold Medal for Academic Excellence. Dr Sohmen is a Canadian citizen and a Philadelphia resident.