Lalit Garg is a Senior Lecturer in Computer Information Systems at the University of Malta, Malta, and an honorary lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. He has supervised 200+ Master's dissertations, 2 DBA and 4 PhD theses and published 125+ high-impact publications in refereed journals/conferences/books, eight edited books and 22 patents. He has delivered several keynote speeches, organized/chaired international conferences, and consulted numerous public and private organizations for information systems implementation and management. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), information systems, management science and their applications, mainly in healthcare and medical domains. He participates in many EU and locally funded projects, including a one million euro Erasmus+ Capacity-Building project in Higher Education (CBHE), titled Training for Medical education via innovative eTechnology (MediTec), and Malta Council of science and technology's Space Research Funds. The University of Malta has awarded him the 2021-22 Research Excellence Award for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare). Gayatri Mirajkar (Senior Member, IEEE) received the Bachelor of Engineering degree in Electronics Engineering from Karmaveer Bhaurao Patil College of Engineering, Satara, India, the Master of Technology in Electronics and Telecommunication Engineering from Dr Babasaheb Ambedkar Technological University, Lonere, India, in 2005, and the PhD degree in Electronics Engineering from Shivaji University, Kolhapur, India in 2014. She has published several papers in journals and conferences. She has presented her research contributions at IEEE International Conferences in Greece and Hong Kong. She is currently working as Professor in the Electronics and Telecommunication Engineering department of Arvind Gavali College of Engineering, Satara, India. Her research interests include biomedical image analysis, signal denoising, biometrics, cognition, and restoration techniques. Sanjay Misra, a senior member of IEEE and ACM Distinguished Lecturer, is a Senior Scientist at the Institute of Energy Technology (IFE), Halden, Norway. Before joining IFE, he was associated with the Computer Science and Communication department of Østfold University College, Halden, Norway. He has 25 years of wide academic administration and research experience in various universities in Asia, Europe, and Africa. He has authored more than 300 articles and received several awards for outstanding publications. He has delivered more than 100 keynote/invited speeches at several international conferences and institutes in more than 60 countries. His expertise is in the area of Applied Informatics (Cyber Security, Health Informatics, Software Engineering Applications, and Intelligent systems using AI and computational techniques). He has been amongst the top 2% of scientists in the world (published by Stanford University) for the last three consecutive years, ranked no. 2 in the whole of Africa in computer science (as per Elsevier: Scival analysis during 2017-2022) and also got several awards for outstanding publications (2014 IET Software Premium Award (UK), TUBITAK-Turkish Higher Education, and Atilim University). He is an Editor-in-Chief of IT Personnel and Project Management and International Journal of Human Capital and Information Technology Professionals (IGI Global), and editor in various journals and books. Prof. Vijay Kumar Chattu is an Associate Professor of Public Health at Tennessee State University and a Senior Research Scientist at the University of Toronto. His interdisciplinary work focuses on community medicine, global health, health policy, global health governance, diplomacy, and health security. He has also held academic and research roles with institutions including the University of Alberta and United Nations University–CRIS. Prof. Chattu has collaborated with universities, governments, and international organizations, including the World Bank, WHO, and UNAIDS. His work includes contributions to G20 and G7 policy briefs and edited scholarship on AI-driven healthcare.

• 1. Profiling and validating Fast Healthcare Interoperability Resource for Maternal and Neonatal Child Health referrals at Primary Health Care level through BlockMom2. A cost-effective way of implementing Big data in Health Research in developing countries – case of Malawi3. Characterizing Hospital Admission Patterns and Length of Stay in the Emergency Department at Mater Dei Hospital Malta4. Machine Learning Approach for Enhancement in Healthcare5. Disease Detection and Treatment Methods6. Hybrid Fuzzy Based Improved Particle Swarm Optimization Technique for Cancer Cell Detection7. A review on Covid19 (SARS-CoV-2) Pandemic: Using Artificial Intelligence and Machine Learning Protocols8. Validity, Reliability and Usability Assessment of Smartphone-based Health 5.0 Application for Measuring Chronic Low Back Pain9. Healthcare 5.0 Opportunities and Challenges: A Literature Review10. An Impact of Reliability in Healthcare Internet of Things (HIoT)11. Investigating the Effect of a Software Intervention Based on a Theoretical Behaviour Framework to Encourage Ergonomic Compliance During Computing Device Usage12. Machine Learning Approach for Post-COVID Disease Prediction13. Improving Interoperability Between Health Information Technology Systems Used by Mental Health and Acute Hospitals14. Data management in the healthcare sector - A review15. Emerging biomedical technologies in healthcare16. Healthcare Cyber Risk and its Impact on Healthcare17. Machine and Deep learning techniques for Smart Healthcare Industry: Big-Picture, and Open Research Challenges18. Different Machine Learning Algorithms for Precise Brain Stroke Prediction