Professor Joongheon Kim

Joongheon Kim has been with Korea University, Seoul, Korea, since 2019, where he is currently an associate professor at the School of Electrical Engineering. He received the B.S. and M.S. degrees in computer science and engineering from Korea University, Seoul, Korea, in 2004 and 2006; and the Ph.D. degree in computer science from the University of Southern California (USC), Los Angeles, CA, USA, in 2014. Before joining Korea University, he was a research engineer with LG Electronics (Seoul, Korea, 2006--2009), a systems engineer with Intel Corporation (Santa Clara, CA, USA, 2013--2016), and an assistant professor with Chung-Ang University (Seoul, Korea, 2016--2019). He serves as an editor for IEEE Transactions on Vehicular Technology and IEEE Internet of Things Journal. He was a recipient of Annenberg Graduate Fellowship from USC (2009), Intel Corporation Next Generation and Standards (NGS) Division Recognition Award (2015), IEEE Systems Journal Best Paper Award (2020), IEEE ComSoc Multimedia Communications Technical Committee (MMTC) Outstanding Young Researcher Award (2020), IEEE ComSoc MMTC Best Journal Paper Award (2021), He also received IEEE ICOIN Best Paper Award (2021), IEEE ICTC Best Paper Award (2022), and IEEE Vehicular Technology Society (VTS) Seoul Chapter Awards.



Professor Richard Chbeir

Richard Chbeir received his PhD in Computer Science from the University of INSA DE LYON-FRANCE in 2001and then his Habilitation degree in 2010 from the University of Bourgogne. He is currently a Full Professor and Head of the Computer Science Department of University Pau & Pays de l'Adour in Anglet France. He is also leading the research groupe OpenCEMS (https://opencems.sigappfr.org/). His current research interests are in the areas of Data Management, Data semantics, and digital ecosystems. Richard Chbeir has published in international journals, books, and conferences, and has served on the program committees of several international conferences. He is currently the Chair of the French Chapter ACM SIGAPP.







Dr. Thuy Nguyen

Thuy Nguyen received her Ph.D. degree in Computer Science from Graz University of Technology, Austria in 2009. She has more than fifteen years of teaching and research experience in computer science. Before joining RMIT University, she was a specially appointed Associate Professor at Osaka University (Osaka, Japan, 2016), an Associate Professor in Computer Science and head of Department of Computer Science at Vietnam Agricultural University (Hanoi, Vietnam, 2011-2022). She has more than 80 publications in reputed international journals and conferences. Besides that she’s an author and owner of a number of patents and copyrighted softwares. She is also a lead and co-lead of a number of research projects. Her current research interests include computer vision, machine learning, and AI applications in healthcare..



Assoc.Prof. Van-Dung Hoang

Van-Dung Hoang received the Ph.D. degree in Electrical and Computer engineering from the University of Ulsan, Ulsan, South Korea, in 2015. After a year of experience with Telecom SudParis as a Postdoctoral Research Fellow, he joined the Faculty of Information Technology, HCMC University of Technology and Education, Ho Chi Minh City, Vietnam, where he is currently an Associate Professor and the Faculty Vice- Dean of Information Technology. He has been serving as a senior lecturer in computer science, and more than 90 publications in reputed international conferences, journals, and book chapter contributions (Indexed By: ISI, WoS, Scopus, ACM DL, CORE, and DBLP). He is actively participating as a member of the societies as IEEE, IEEE Computer, ICROS. His research interests cover a wide area, which focuses on pattern recognition, machine learning, medical image processing, computer vision applications, vision-based robotics, and ambient intelligence. He has headed several research projects funded by Nafosted, Province and University program , which related to medical image processing, object/action recognition applied to NAO robot, scene understanding, intelligent systems.