Professor Dr. Md. Atiqur Rahman Ahad 
Senior Member, IEEE
Professor, University of Dhaka
Specially Appointed Associate Professor, Osaka University
Editorial Board Member, Scientific Reports, Nature Publishing Group
Associate Editor, Human-Media Interaction, Frontiers
Editorial Board Member, Encyclopedia of Computer Graphics and Games, Springer
Editor-in-Chief, Int. Journal on Computer Vision & Signal Processing http://cennser.org/IJCVSP
Tentative Title: 
“Human Activity Recognition: Healthcare Perspectives & Others” 

Human activity Recognition (HAR) are explored in video-based computer vision domain and sensor-based ubiquitous research areas. Vision-based human action or activity recognition approaches are based on RGB video sequences, or depth maps, or from skeleton data – taken from normal video cameras or depth cameras. On the other hand, sensor-based activity recognition methods are basically based on the data collected from wearable sensors having accelerometer, gyroscope, or so on. There are numerous applications on HAR, however, the healthcare, elderly support, and related applications become very important arenas with huge social and financial impact. Due to the advent of various IoT sensors, it becomes more competitive as well as easier to explore different applications. The keynote will cover HAR approaches in both video-based and sensor-based domains, highlight healthcare perspectives and methods. The presentation will be based on the 3 books as follows:

  1. Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed, “IoT Sensor-Based Activity Recognition – Human Activity Recognition”, Springer Nature Switzerland AG, 2019.
  2. Md Atiqur Rahman Ahad, “Motion History Images for Action Recognition and Understanding”, Springer, 2013.
  3. Md Atiqur Rahman Ahad, “Computer Vision and Action Recognition: A Guide for Image Processing and Computer Vision Community for Action Understanding”, available in Springer, 2011.



Professor Dr. Chen Peng
School of Chemical and Biomedical Engineering, Nanyang Technological University
After receiving bachelor’s and Master’s degrees from Zhejiang University (China), Dr Peng Chen completed his doctorate in electrical engineering with research focus on electrophysiology at University of Missouri – Columbia in 2002. Then he did his post-doctoral training in Department of Molecular and Cellular Biology at Harvard University where he conducted research on nanopore based single-molecule sensing and rapid DNA sequencing. In 2005, Dr. Chen joined Division of Bioengineering at Nanyang Technological University (Singapore) as an assistant professor. He is now a full professor of bioengineering in school of chemical & biomedical engineering. Dr. Chen’s group works on biotechnologies and nanomaterials. He has published >200 papers in reputable journals. He is a fellow of Royal Society of Chemistry and a Highly Cited Researcher (Clarivate Analyhtics).
Tentative Title: 
“Graphene Quantum Dots for Biosensing and Bioimaging” 
Graphene quantum dot (GQD) is the latest addition to the nanocarbon materials family. It is a zero-dimensional (0D) graphene material, characterized by an atomically thin graphitic plane (typically 1 or 2 layers, <2 nm thick) with lateral dimensions typically <10 nm. Comparing to its 2D counterpart – graphene sheet, GQD offers some unique merits thus new application opportunities, such as, bandgap opening due to quantum confinement, excellent dispersibility, more abundant active sites (edges, functional groups, dopants, etc.), better tunability in chemicophysical properties, and comparable size to biomolecules. This presentation focuses on synthesis and engineering GQDs as well as applications of GQDs for bioimaging and biosensing.