Advanced AI and Internet of Health Things for Combating Pandemics

Mohamed Lahby is Associate Professor at the Higher Normal School (ENS) University Hassan II of Casablanca, Morocco. Currently, he is serving as the Head of the Department in Mathematics and Computers Science at ENS of Casablanca. He was awarded a PhD in Computer Science from Faculty of Sciences and Technology of Mohammedia, University Hassan II of Casablanca, in 2013. His research interests are wireless communication and network, mobility management, QoS/QoE, Internet of things, Smart cities, Optimization and Machine learning. He has published more than 50 papers (book chapters, international journals, and conferences), 7 edited books, and 2 authored book. He has served and continues to serve on executive and technical program committees of numerous international conferences such as IEEE PIMRC, ICC, NTMS, IWCMC, WINCOM, ISNCC. He also serves as a referee of many prestigious Elsevier journals : Ad Hoc Networks, Applied Computing and Informatics and International journal of disaster risk reduction. He organized and participated in more than 40 conferences and workshops. He is the chair of many international workshops and special sessions such as MLNGSN'19, CSPSC'19, MLNGSN'20, MLNGSN'21, AI2SC '20 and WCTCP'20, CIOT'22. He has also edited many books published in Springer and Taylor.

Virginia Pilloni is an Assistant Professor at the University of Cagliari, Italy. Her main research interests are focused on Internet of Things and Wireless ad-hoc networks, with particular attention to the improvement of their performance through task allocation. She received her PhD in Electronic and Computer Engineering with Doctor Europaeus mention from the University of Cagliari in 2013. She has published more than 50 papers and edited 1 book. She is an expert evaluator of EU H2020 and BELSPO proposals. She has been involved in several national and international research projects. She is an Editor of Elsevier Computer Networks and Frontiersin Communications and Networks. She has served as organization chair and program committee member of several international conferences. She is a member of the IEEE ComSoc Young Professionals and currently is the awards chair for the IEEE ComSoc Best YP Awards.

Dr. Jyoti Sekhar Banerjee is currently serving as the Head of the Department in the Computer Science and Engineering (AI & ML) Department at the Bengal Institute of Technology, Kolkata, India. Additionally, He is also the Professor-in-Charge, R & D and Consultancy Cell of BIT. Dr. Banerjee did his Post-Doctoral Fellowship at Nottingham Trent University, UK, in the Department of Computer Science. He also completed the Post Graduate Diploma in IPR & TBM from MAKAUT, WB. He has teaching and research experience spanning 18 years and completed one IEI funded project. He is a life member of the CSI, IEEE, ISTE, IEI, ISOC, IAENG and fellow of IETE. He is the present honorary Secretary-cum-Treasurer, of the ISTE WB Section. He is the current honorary Secretary of the Computer Society of India, Kolkata Chapter. He is also the Executive Committee Member of the IETE, Kolkata Centre. He has published over Sixty papers in various international journals, conference proceedings, and book chapters. He is the Editor-in-Chief of American Journal of Advanced Computing (AJAC), Smart Society, USA. He is the lead author of "A Text Book on Mastering Digital Electronics: Principle, Devices, and Applications" and co-editor of the three books. He has also co-authored another book and is currently processing four edited books in reputed international publishers like Springer, CRC Press, De Gruyter, etc. Presently he is also processing three more textbooks; those are now in press. Currently, he is serving as the General Chair of ICHCSC 2022, 2023; General Co-Chair of GCAIA 2021. Dr. Banerjee is the Program Chair of the Human 2023, GCAIA 2023. Dr. Banerjee, is served as a Guest Editor of ICAUC_ES20

Chapter 1 Knowledge Graphs for COVID-19: A Survey.- Chapter 2 Mapping effective practices and frameworks during the AEC industry's combat with COVID-19: scientometric analysis.- Chapter 3 Deep Learning for Combating COVID-19 Pandemic in Internet of Medical Things (IoMT) Networks: A Comprehensive Review.- Chapter 4 Machine Learning Algorithms for Classification of COVID-19 using Chest X-Ray Images.- Chapter 5 Forecasting of COVID-19 cases Using AI and Real-time DataSet.- Chapter 6 Predicting Covid-19 Using Cough Audio Recordings.- Chapter 7 Computational Linguistics Techniques in Measuring Genetic Distance of Living Organisms.- Chapter 8 Explainable Artificial Intelligence (XAI) Based Analysis of Stress Among Tech Workers amidst COVID-19 Pandemic.- Chapter 9 COVID-19 Disease Segmentation using Deep Learning Techniques in CT Scan Images.- Chapter 10 Multimodal Diagnosis of COVID-19 Using Deep Wavelet Scattering Networks.- Chapter 11 Development of a Computer Aided Diagnosis System For Detection of COVID-19 Using Transfer Learning.- Chapter 12 COVID-19 Detection System in a Smart Hospital Setting using Transfer Learning and IoT-based Model.- Chapter 13 A Blockchain-based Secure Framework for Homomorphic AI in IoHT for Tackling COVID-19 Pandemic.- Chapter 14 Blockchain-Based Solution for Patient Controlled Health Records Sharing for Private Decentralized Storage.- Chapter 15 On Natural Language Processing to Attack COVID-19 Pandemic: Experiences of Vietnam.- Chapter 16 VacciNet: Towards a Reinforcement Learning based Smart Framework for Predicting the Distribution Chain Optimization of Vaccines for a Pandemic.- Chapter 17 AI-based logistics Solutions to tackle COVID-19 Pandemic and ensure a Sustainable financial Growth.- Chapter 18 A Comparative Modeling and Comprehensive Binding Site Analysis of the South African Beta COVID-19 Variant's Spike Protein Structure.