Intelligent Biomedical Technologies and Applications for Healthcare 5.0

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. Dr Vijay Kumar Chattu is a Global Health Specialist at the University of Toronto and an Adjunct Professor at the School of Computer Science Engineering (SCOPE), Vellore Institute of Technology. Besides, he is an Adjunct Professor at the University of Alberta, a Senior Fellow at the WHO CC for KT and HTA in Health Equity at Ottawa and a Visiting Research Fellow at United Nations University-CRIS, Belgium. His interdisciplinary research intersects Medicine, Health Sciences, Health Technology, Health Policy and International Relations. During his academic career, Dr Chattu studied at various universities in 5 continents and travelled to over 45 countries. He did his MBBS and MD from India, MPH from Belgium, MPhil from South Africa, Fellowship in Digital Health/Occupational Medicine from Canada and PhD from Trinidad and Tobago. Besides, he also holds a Post Master’s Certificate in Mental Health from Harvard University and a Graduate Certificate in Global Health Diplomacy from Graduate Institute Geneva. He is a recipient of the NIH-Fogarty AITRP Grant at UCLA, the Fogarty MHIRT Grant at the U of Michigan and numerous prestigious awards from DGDC Belgium, Salzburg Global Seminar Austria and WHO-IARC France, to name a few. He published over 400 articles and has consistently ranked among the World’s Top 2% Scientists in Public Health by the Stanford University & Elsevier Rankings since 2021. Dr Chattu serves as an Associate Editor for BMJ Global Health and other prestigious journals. As a Global Health Policy advisor, he regularly contributes to the T20 Policy briefs for G20 Summits and G7 Forums. He has a long track record of consulting for multilateral organizations such as UNAIDS-TSF, WHO and the World Bank. Some of his co-authored works include applications of Blockchain technology, Artificial Intelligence, Machine Learning, and Deep Learning in health domains such as Disease Surveillance, Maternal and Child Health, Health Equity, Sleep Medicine etc. His current research interests include AI-driven diagnostics, Telemedicine, Remote patient consultations in the Metaverse, and Virtual Reality applications in medical education and training. Dr Chattu is also the Founder and CEO of Global Health Research and Innovations Canada Inc. (GHRIC) based in Toronto.

1. Profiling and validating Fast Healthcare Interoperability Resource for Maternal and Neonatal Child Health referrals at Primary Health Care level through BlockMom 2. A cost-effective way of implementing Big data in Health Research in developing countries – case of Malawi 3. Characterizing Hospital Admission Patterns and Length of Stay in the Emergency Department at Mater Dei Hospital Malta 4. Machine Learning Approach for Enhancement in Healthcare 5. Disease Detection and Treatment Methods 6. Hybrid Fuzzy Based Improved Particle Swarm Optimization Technique for Cancer Cell Detection 7. A review on Covid19 (SARS-CoV-2) Pandemic: Using Artificial Intelligence and Machine Learning Protocols 8. Validity, Reliability and Usability Assessment of Smartphone-based Health 5.0 Application for Measuring Chronic Low Back Pain 9. Healthcare 5.0 Opportunities and Challenges: A Literature Review 10. 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 Usage 12. Machine Learning Approach for Post-COVID Disease Prediction 13. Improving Interoperability Between Health Information Technology Systems Used by Mental Health and Acute Hospitals 14. Data management in the healthcare sector - A review 15. Emerging biomedical technologies in healthcare 16. Healthcare Cyber Risk and its Impact on Healthcare 17. Machine and Deep learning techniques for Smart Healthcare Industry: Big-Picture, and Open Research Challenges 18. Different Machine Learning Algorithms for Precise Brain Stroke Prediction