Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem

Dr. Alex Khang, is a professor in information technology at the Universities of Science and Technology in Vietnam, India, and United States; AI and data scientist, software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. He has more than 28 years of teaching and research experience in information technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Science and Technology in Vietnam, India, and USA. He has been the chair session for 20 conferences, keynote speaker for more than 25 international conclaves; an expert tech speaker for 100 over seminars and webinars; an international technical board member for 10 international organizations; an editorial board member for more than 5 ISSNs; an international reviewer and evaluator for more than 100 journal papers; an international examiner and evaluator for more than 15 PhD. theses in computer science field. He has been contributing to various research activities in fields of AI and data science while publishing many international articles in renowned journals and conference proceedings. He has published 52 authored books (in computer science between 2000-2010), 2 authored books (software development), 10 book chapters, 4 edited books, and 9 edited books (calling for book chapters) in the fields of AI ecosystem (AI, ML, DL, robotics, data science, big data, and IoT), smart city ecosystem, healthcare ecosystem, fintech technology, and blockchain technology (since 2020). He has over 28 years of nonstop work as a software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, database expert in the foreign corporations of Germany, Sweden, the United States, Singapore, and multinationals (former CEO, former CTO, former Engineering Director, Product Manager, and Senior Software Production Consultant). Dr. Geeta Rana is Associate Professor at Himalayan School of Management Studies in Swami Rama Himalayan University, Jolly Grant, Dehradun. She earned her Ph.D. in management from Indian Institute of Technology (IIT, Roorkee). She has also done certification courses in HR analytics from Indian Institute of Management Rohtak (IIMR). She is engaged in teaching, research and consultancy assignments. She has more than 15 years of experience in teaching and in handling various administrative as well as academic positions. She has to her credit over 50 papers published in refereed journals of Emerald, Sage, Springer, Taylor & Francis, Elsevier and InderScience publishers. She also presented several research papers in national and international conferences. She has contributed several chapters in different books published by Cambridge UK, Springer IGI Global and Palgrave Macmillan. She has authored xii Editor Biographies a book titled Counseling Skills for Managers published by New Age Publications. She has conducted and attended various workshops, faculty development programs (FDPs) and management development programs (MDPs). She is recipient of many awards. Her research interests include data analytics, Human Resource Management 4.0, knowledge management, managerial effectiveness, justice, values, employer branding and innovation.Dr. R K Tailor, Senior Associate Professor, Department of Business Administration, Manipal University Jaipur, Rajasthan, India. He is an expert in Robotic Process Automation and Robotic Accounting in India for the last 10 years and developed more than 10 patents and served as a consultant in many education institutions, Universities, and business houses for the application and adoption of Robotic process automation. He is having more than 16 years of experience in teaching and research. He has published more than 60 books on the different areas of commerce and management and more than 60 research papers in the reputed national and international journals. He is also actively associated with Indian Commerce Association and Indian Accounting Association as EC Member and has served as Associate editor in the Indian Journal of Accounting. He is also associated with high-ranked International reputed publication houses as an editor, reviewer, and advisory board member such as Taylor & Francis, Springer, Elsevier, CRC Publications, IGI GLobal, Scientific Publications etc. He has also chaired more than 5o National and International Conferences as Chief Guest, Chairperson, and Key Note speaker and resource person. He has also delivered his speech on robotic process automation at the International level Romania, Malaysia, Nepal, Dubai, Spain, Turkey, Poland, Hungary, and Ireland are a few names. He has achieved many awards and accolades from many national and international organizations. Dr. Vugar Abdullayev, Doctor of Technical Sciences, Associate Professor, Azerbaijan State Oil and Industry University. Baku, Azerbaijan. He has completed his Ph.D in Computer Science in the year 2005. He is currently as an Associate Professor of the "Computer engineering" Department at the Azerbaijan State Oil and Industry University, Baku, Azerbaijan. He is author of 61 scientific papers. His researchers related to the study of the cyber physical systems, IoT, big data, smart city and information technologies.

• 1. Electronic Health Records Security and Privacy Enhancement using Blockchain Technology.  2. Internet of Medical Things (IoMT) Driving the Digital Transformation of the Healthcare Sector.  3. AI-enabled Solution - A Game Changer for Private Healthcare Providers.  4. The Analytics of Hospitality of Hospitals in Healthcare Ecosystem.  5. Deep Transfer-Learning Model for COVID-19 Diagnosis with Feature Extraction-based SVM and KNN Classifiers.  6. Heart Disease Prediction using Logistic Regression and Random Forest Classifier.  7. Convolutional Neural Network Based Smart Incubator System for Infant Monitoring using IoT Technology.  8. A Fuzzy Expert System for Alzheimer's Disease Diagnosis Using 2D Wavelet Texture Biomarkers.  9. Application of Machine Learning Algorithms in Diabetes Prediction.  10. An Improved Random Forest Model for Detecting Heart Disease.  11. A Hybrid Feature Selection and Stacked Generalization Model to Detect Breast Cancer.  12. Hepatocellular Carcinoma Patients Survival Forecasting Model Using Ensemble Learning Approach.  13. Heart Disease and Liver Disease Prediction using Machine Learning.  14. A Novel Improved Logistic Regression Model for Diagnosing Heart Disease.  15. Systematic Review: An Early Detection of Skin Disease using Machine Learning.  16. Hospital Performance Management: Implementation of Real-Time Monitoring System for Clinical and Administration Team.  17. Simplified Hospital Management System: Robotic Process Automation (RPA) to Rescue.  18. Methodological and Analytical Considerations for Development and Implementation of an Audit System for Telemedicine.  19. Hospital 4.0: Capitalization of Health and Healthcare in Industry 4.0 Economy.  20. Use of Technology for Monitoring the Immunization Status of Children Aged Five Years.  21. Intelligent Handy Healthcare System in Medical Ecosystem.