Smart Healthcare Systems

Dr. Pankaj Bhambri is affiliated with the Department of Information Technology at Guru Nanak Dev Engineering College in Ludhiana. Additionally, he fulfills the role of the Convener for his Departmental Board of Studies. He possesses nearly two decades of teaching experience. His research work has been published in esteemed worldwide and national journals, as well as conference proceedings. Dr. Bhambri has garnered extensive experience in the realm of academic publishing, having served as an editor for a multitude of books in collaboration with esteemed publishing houses such as CRC Press, Elsevier, Scrivener, and Bentham Science. In addition to his editorial roles, he has demonstrated his scholarly prowess by authoring numerous books and contributing chapters to distinguished publishers within the academic community. Dr. Bhambri has been honored with several prestigious accolades, including the ISTE Best Teacher Award in 2023 and 2022, the I2OR National Award in 2020, the Green ThinkerZ Top 100 International Distinguished Educators Award in 2020, the I2OR Outstanding Educator Award in 2019, the SAA Distinguished Alumni Award in 2012, the CIPS Rashtriya Rattan Award in 2008, the LCHC Best Teacher Award in 2007, and numerous other commendations from various government and non-profit organizations. He has provided guidance and oversight for numerous research projects and dissertations at the postgraduate and Ph.D. levels. He successfully organized a diverse range of educational programs, securing financial backing from esteemed institutions such as the AICTE, and the TEQIP, among others. Dr. Bhambri’s areas of interest encompass machine learning, bioinformatics, wireless sensor networks, and network security. Dr. Rashmi Soni is a Research Supervisor guiding six Research Scholars in the CSE department of Oriental University, Indore, and an Associate Professor in the CSE Department, at Dayananda Sagar Academy of Technology and Management, Bangalore. Dr. Soni has 12 Years of experience in academic and research. She served as the session chair and the advisory and program committee member and reviewer for 10 international conferences and journals from 2018 to 2023. Dr. Soni has published seven Patents and holds a diverse range of professional roles of educator, reviewer, editor, and author for various prominent international journals and conferences. Her research interests include Cloud Computing, IOT, AIOT Bioinformatics, AR and VR, Image processing, and Blockchain. Dr. Tien Anh Tran (IEEE Member, IMarEST Member) is a Research Fellow at the Seoul National University, Seoul City, South Korea. He is an Assistant Professor (Lecturer) at the Department of Marine Engineering, Vietnam Maritime University, Haiphong City, Vietnam. Additionally, he is also an Honorary Professor at the School of Computing Science and Engineering, Galgotias University, India. Dr. Tien Anh Tran received a B. Eng and an M.Sc. from Vietnam Maritime University, Vietnam in 2011 and 2014, respectively. He received a Ph.D. from Wuhan University of Technology, Wuhan, China in 2018. He is an Editor/Guest Editor for a number of reputation journals indexed in SCI/SCIE. In 2015, he was awarded the Chinese Government Scholarship (CSC) for the full funding of the Doctor of Philosophy (Ph.D.) program in China. In 2019, He was awarded the NEPTUNE prize for outstanding researchers by Vietnam Maritime University, and in 2022, he was one of five outstanding scientists in Vietnam to be nominated for the Ta Quang Buu prize by the National Foundation for Science & Technology Development (NAFOSTED). Additionally, he had been selected and awarded the full scholarship for the Postdoctoral Fellowship Program of the National Research Foundation (NRF) for Foreign Researchers by the Government of South Korea.

1. Artificial Intelligence enabled Internet of Medical Things for Enhanced Healthcare Systems. 2. Internet of Medical Things with Artificial Intelligence for Improved Healthcare Systems. 3.Block Chain for Transparent, Privacy Protected and Secure Health Data Management. 4. SPSHS: Security and Privacy Concerns in Smart Healthcare System. 5.Transforming Healthcare Engagement in the Med-Tech Industry through Digital Marketing. 6. Cloud and IoT Integration for Smart Healthcare. 7. IoT-based Effective Wearable Healthcare Monitoring System for Remote Areas. 8. Voice Signal-Based Disease Diagnosis using IoT and Learning Algorithms for Healthcare. 9. Artificial Intelligence-Enabled Internet of Medical Things for Enhanced Healthcare Systems. 10. Role of AI and IoT based medical diagnostics smart health care system for post-Covid-19 world. 11. Integrating Sensor, Actuators and IoT for Smart Healthcare in Post COVID-19 World. 12. Design and Implementation of 3D Printed Non-invasive Mechanical Ventilator Device Against COVID-19 Pandemic. 13. A Predictive method for Emotional Sentiment Analysis by Machine Learning from EEG of Brainwave Data. 14. Marvel of Biosensors in Smart Healthcare and Application of Internet of Medical Things for Diagnosis: Unveiling Benefits, Challenges and Futuristic Approach. 15. An Application of Hybrid Machine Learning Framework to Predict the Heart Diseases in Smart Healthcare Systems. 16.Role of Artificial Intelligence in Advancing Pancreatic Cancer Research. 17. Internet of Medical Things for Abnormality Detection in Infants using Mobile Phone App with Cry Signal Analysis. 18. An IoT Based Physician Decision Supporting System for Pediatric Disease Diagnosis. 19. Leveraging ChatGPT-like Large Language Models for Alzheimer's Disease: Enhancing Care, Advancing Research, and Overcoming Challenges. 20. Elderly Fall Detection Using Deep Learning Enabled Internet of Healthcare Things. 21. AI-Powered Internet of Medical Things for Monitoring Elderly Adults in Independent Living Environments. 22. Improving Elder Care: Vision-Based Wearable Technology for Fall Recognition and Prevention. 23. Is Rural India Forgoing the Benefits of Non-implementing AI-enabled Healthcare: A Prospective Analysis. 24.A review study of Machine Learning Algorithms for Diabetic Prediction Using PIMA dataset in Cloud Computing.