Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems

Haipeng Liu is currently a Research Fellow with the Research Centre for Intelligent Healthcare, Coventry University. He received his Doctor of Philosophy in Medical Sciences from The Chinese University of Hong Kong in 2018. From 2019 to 2020, he was a research fellow with the Medical Technology Research Center, Anglia Ruskin University. Since 2020, he has been a research fellow with Coventry University, UK. His research interests include wearable sensing, physiological measurement, AI-assisted diagnostics, and computational simulation of cardiovascular diseases. He is the author of over 60 journal articles and 11 conference papers, and is open for collaboration in healthcare technologies and medical data analytics. Rajesh Kumar Tripathy received the B.Tech degree in Electronics and Telecommunication Engineering from the Biju Patnaik University of Technology (BPUT), Odisha, India, in 2009, and the M.Tech degree in Biomedical Engineering from the National Institute of Technology (NIT) Rourkela, Rourkela, India, in 2013, and the PhD degree in Electronics and Electrical Engineering (EEE) from the Indian Institute of Technology (IIT) Guwahati, Guwahati, India in 2017. Currently, he is working as an Assistant Professor in the department of Electrical and Electronics Engineering (EEE), Birla Institute of Technology and Science (BITS), Pilani, Hyderabad Campus. His research interests are Biomedical Signal Processing, Sensor Data Processing, Machine Learning and Medical Image Processing. He has published research papers in reputed international journals and conferences. Pronaya Bhattacharya received the Ph.D. degree from Dr. A. P. J Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India. He is currently an Associate Professor with the Computer Science and Engineering Department, Amity School of Engineering and Technology, Amity University, Kolkata, India. He has over ten years of teaching experience. He has authored or coauthored more than 140 research papers in leading SCI journals and top core IEEE conferences. He has an H-index of 31 and an i10-index of 74. His research interests include healthcare analytics, optical switching and networking, federated learning, blockchain, and the IoT. He is listed as Top 2% scientists as per list published by Stanford University. He has been appointed at the capacity of a keynote speaker, a technical committee member, and the session chair across the globe. He was awarded Eight Best Paper Awards, and is a Reviewer of 21 reputed SCI journals.