Rhythms in Healthcare

Is Biological rhythm associated with the mortality of COVID-19?.- Deep Learning in Biomedical devices: Perspectives, Applications and Challenges.- Effect of 3D-Multiple object Tracking training on manual dexterity in elderly adults with dementia and mild cognitive impairment.- Rhythmic Pattern of EEG for Identifying Schizophrenia.- Prior Prediction and Management of Autism in Child through Behavioral Analysis using Machine Learning Approach.- DNN and LiDAR Sensor Based Crowd Avoidance Method for Nurse-Following Robot in Healthcare

Dr. Kaiser M. Shamim is currently working as Professor at the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. He received his Bachelor's and Master's degrees in Applied Physics Electronics and Communication Engineering from the University of Dhaka, Bangladesh, in 2002 and 2004, respectively, and the Ph.D. degree in Telecommunication Engineering from the Asian Institute of Technology, Thailand, in 2010. His current research interests include data analytics, machine learning, wireless network & signal processing, cognitive radio network, big data and cyber security, and renewable energy. He has authored more than 140 papers in different peer-reviewed journals and conferences. He is Associate Editor of the IEEE Access Journal, Guest Editor of Brain Informatics Journal, and Cognitive Computation Journal. Dr. Kaiser is Life Member of Bangladesh Electronic Society; Bangladesh Physical Society. He is also Senior Member of IEEE, USA, and IEICE, Japan, and Active Volunteer of the IEEE Bangladesh Section. He is founding Chapter Chair of the IEEE Bangladesh Section Computer Society Chapter. Dr. Kaiser organized various international conferences such as ICEEICT 2015-2018, IEEE HTC 2017, IEEE ICREST 2018, and BI2020.
Dr. Mahmud Mufti is Senior Lecturer of Computing at the Nottingham Trent University, UK. He received Ph.D. degree in Information Engineering from University of Padova, Italy, in 2011. Recipient of the Marie-Curie postdoctoral fellowship, he served at various positions in the industry and academia in India, Bangladesh, Italy, Belgium, and the UK since 2003. Expert in computational intelligence, data analysis, and big data technologies, Dr. Mahmud has published over 80 peer-reviewed articles and papers in leading journal and conferences. Dr. Mahmud serves as Associate Editor to the cognitive computation, IEEE access, big data analytics, and brain informatics journals. Dr. Mahmud is Senior Member of IEEE and ACM,