Keynote Speakers

Prof. Xudong Jiang

Nanyang Technological University, Singapore

Dr. Xudong Jiang received the B.Eng. and M.Eng. from the University of Electronic Science and Technology of China (UESTC), and the Ph.D. degree from Helmut Schmidt University, Hamburg, Germany. From 1986 to 1993, he was a Lecturer with UESTC, where he received two Science and Technology Awards from the Ministry for Electronic Industry of China. From 1998 to 2004, he was with the Institute for Infocomm Research, A-Star, Singapore, as a Lead Scientist and the Head of the Biometrics Laboratory, where he developed a system that achieved the most efficiency and the second most accuracy at the International Fingerprint Verification Competition in 2000. He joined Nanyang Technological University (NTU), Singapore, as a Faculty Member, in 2004, and served as the Director of the Centre for Information Security from 2005 to 2011. Currently, he is a professor in NTU. Dr Jiang holds 7 patents and has authored over 150 papers with over 40 papers in the IEEE journals, including 11 papers in IEEE T-IP and 6 papers in IEEE T-PAMI. Three of his papers have been listed as the top 1% highly cited papers in the academic field of Engineering by Essential Science Indicators. He served as IFS TC Member of the IEEE Signal Processing Society from 2015 to 2017, Associate Editor for IEEE SPL from 2014 to 2018, Associate Editor for IEEE T-IP from 2016 to 2020 and the founding editorial board member for IET Biometrics form 2012 to 2019. Dr Jiang is currently an IEEE Fellow and serves as Senior Area Editor for IEEE T-IP and Editor-in-Chief for IET Biometrics. His current research interests include image processing, pattern recognition, computer vision, machine learning, and biometrics.


Invited Speakers

Assoc. Prof. Yanhui Guo, University of Illinois at Springfield, USA

Yanhui Guo received his B. S. degree in Automatic Control from Zhengzhou University, China, M.S. degree in Pattern Recognition and Intelligence System from Harbin Institute of Technology, China, and a Ph.D. degree in the Department of Computer Science, Utah State University, USA. He was a research fellow in the Department of Radiology at the University of Michigan and an assistant professor at St. Thomas University. Dr. Guo is currently an associated professor in the Department of Computer Science at the University of Illinois at Springfield. Dr. Guo has published more than 100 journal papers and 30 conference papers, completed more than 10 grant-funded research projects, and worked as an associate editor of different international journals, reviewers for top journals and conferences. His research area includes computer vision, machine learning, big data analytics, and computer-aided detection/diagnosis.

Prof. Zhao Zhang, Hefei University of Technology, China

Zhao Zhang is a Full Professor at the School of Computer and Information, Hefei University of Technology, China. He received the PhD degree from the City University of Hong Kong in 2013. His research interests include Multimedia, Machine Learning and Computer Vision. He has authored/co-authored over 80 technical papers published at prestigious journals and conferences, including 37 IEEE/ACM Transactions regular papers, with Google Scholar citations over 3,100 times and H-index 33. I am servingrved as an Associate Editor (AE) of IEEE Transactions on Image Processing (IEEE TIP), Pattern Recognition (PR) and Neural Networks (NN); also served as a Managing Guest Editor (MGE) for Journal of Visual Communication and Image Representation (JVCI), Image and Vision Computing (IVC). Besides, he has been acting as a SPC member/Area Chair of ACM MM, AAAI, IJCAI, SDM and BMVC. He is now a Senior Member of the IEEE and CCF.


Assoc. Prof. Andras Horvath, Peter Pazmany Catholic Universtiy, Hungary

András Horváth is an Associate Professor at the Faculty of Information Technology and Bionics at Peter Pazmany University. His research is mostly focused on computer vision and artificial intelligence, especially on the efficient implementation of modern machine learning algorithms with emerging devices. He took part in the DARPA-UPSIDE (Unconventional Processing of Signals for Intelligent Data Exploitation) project between 2012 and 2018 in a consortium with Intel, MIT, which aimed the development of an object recognition pipeline with oscillatory based computing, implemented on emerging devices (e.g.: spin-torque and resonant body oscillators) and was involved in multiple international research grants sponsored by the European Union and ONR. He is author or co-author of more than 50 publications which appeared in various international journals, and  member of the IEEE Circuits and System and the IEEE Computational Intelligence Societies and the secretary of the Cellular Nanoscale Networks and Array Computing Technical Committee.


Dr. Lianly Rompis, Universitas Katolik De La Salle Manado, North Sulawesi, Indonesia

Lianly Rompis received her Bachelor degree of Electrical Engineering in 1999 from Universitas Sam Ratulangi Manado Indonesia and Master degree of Information Technology Studies in 2011 from University of Wollongong New South Wales Australia. She works as a Senior Lecturer in Faculty of Engineering, Electrical Engineering Study Program, Universitas Katolik De La Salle Manado, North Sulawesi-Indonesia. Currently she is also joining as a staff in the Research and Community Service Department of her university. Lianly is a senior member of IEEE and has several experiences as a reviewer and committee of local and national conferences. Her research interests are digital system and information technology services, including image processing.
In this symposium, she will gladly share her experience related to image processing from her perspectives as a lecturer. In daily communication through social media, you will basically need good techniques and tools to capture images on computer‘s or other digital devices’ screen directly using a smartphone or digital camera. You will learn how to get a clear and smooth image instead of darker and distortion image.


Dr. Aslina Baharum, Universiti Teknologi MARA (UiTM), Jasin Campus, MALAYSIA

Ts. Dr. Aslina Baharum is a Senior Lecturer at the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), Jasin Campus, Malacca, MALAYSIA. Previously, she was a Senior Lecturer in Faculty of Computing and Informatics, Universiti Malaysia Sabah (UMS) and leads the User Experience (UX) research group. She also have industry experience where she worked as an IT Officer for the Forest Research Institute of Malaysia (FRIM) (7 years). She had experienced more than 20 years in the IT field. She received PhD in Visual Informatics (UKM), a Master Science degree in IT (UiTM) and graduated Bachelor of Science (Hons.) in E-Commerce from UMS. She is a member of the Young Scientists Network - Academy of Science Malaysia, Senior Member IEEE, and certified Professional Technologist from MBOT, and served as MBOT/MQA auditor. She won several medals in research and innovation showcases and awarded several publication awards, teaching awards, Excellence Service award, and UMS Researchers Awards. She has co-authored 2 books in conservation and threatened species (2012) and this book received the FRIM Publication award for reference book (2012), published several books of chapters (>20), technical papers in conferences and peer-reviewed and indexed journals (>60) papers. She also served as editor for several journals, scholarly contributed as a committee, editorial team and reviewers, and given several invited/ plenary talks at conferences. Her research interests include UX/UI, HCI/Interaction Design, Product & Service Design, Software Engineering & Mobile Development, Information Visualization & Analytics, Multimedia, ICT, IS and Entre/Technopreneurship. Her workshops and talks covered Entrepreneurship, Video/Image Editing, E-Commerce/Digital Marketing, AR/VR/MR/XR in STEM, Design Thinking and etc. She is also a Certified Professional Entrepreneurial Educator, Executive Entrepreneurial Leaders and HRDF Professional Trainer.