KEYNOTE SPEAKERS

Keynote Speakers

Prof. Changsheng Xu (IEEE & IAPR Fellow)

Chinese Academy of Sciences, China

Dr. Xu is a Professor in National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences and Executive Director of China-Singapore Institute of Digital Media. His research interests include multimedia content analysis/indexing/retrieval, pattern recognition and computer vision. He has hold 30 granted/pending patents and published over 200 refereed research papers in these areas. Dr. Xu is an Associate Editor of IEEE Trans. on Multimedia, ACM Trans. on Multimedia Computing, Communications and Applications and ACM/Springer Multimedia Systems Journal. He received the Best Associate Editor Award of ACM Trans. on Multimedia Computing, Communications and Applications in 2012 and the Best Editorial Member Award of ACM/Springer Multimedia Systems Journal in 2008. He served as Program Chair of ACM Multimedia 2009. He has served as associate editor, guest editor, general chair, program chair, area/track chair, special session organizer, session chair and TPC member for over 20 IEEE and ACM prestigious multimedia journals, conferences and workshops. He is an ACM Distinguished Scientist, IEEE Fellow, and IAPR Fellow.

 

Prof. Hiroyuki Kudo

University of Tsukuba, Japan

He received the B.Sc. degree from the Department of Electrical Communications, Tohoku University, Japan, in1985, and the Ph.D. degree from the Graduate School of Engineering, Tohoku University, in 1990. In 1992, he joined the University of Tsukuba, Japan. He is currently a Professor with the Institute of Systems and Information Engineering, University of Tsukuba, Japan. His research areas include medical imaging, image processing, and inverse problems. In particular, he is actively working on tomographic image reconstruction for X-ray CT, PET, SPECT, and electron tomography. He received best paper awards more than 10 times from various international and Japanese societies. He received the IEICE (The Institute of Electronics, Information, and Communication Engineers, Japan) Fellow award for his contributions on “cross-sectional image reconstruction methods in medical computed tomography”. In 2018, he obtained Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology for his contributions on “research on design method and image reconstruction method for new CT”. For 2011-2016, he was an Editor-in-Chief of the Journal of Medical Imaging Technology (MIT). From 2020, he is a president of Japanese Society of Medical Imaging Technology (JAMIT).

 

Prof. Laurent David Cohen (IEEE Fellow)

Universite Paris Dauphine, France

Laurent David Cohen was born in 1962. He was student at the Ecole Normale Superieure , rue d'Ulm in Paris, France from 1981 to 1985. He received the Master's and Ph.D. degrees in Applied Mathematics from University of Paris 6, France, in 1983 and 1986, respectively. He got the Habilitation à diriger des Recherches from University Paris 9 Dauphine in 1995.
From 1985 to 1987, he was member at the Computer Graphics and Image Processing group at Schlumberger Palo Alto Research, Palo Alto, California and Schlumberger Montrouge Research, Montrouge, France and remained consultant with Schlumberger afterwards. He began working with INRIA, France in 1988, mainly with the medical image understanding group EPIDAURE.
He obtained in 1990 a position of Research Scholar (Charge then Directeur de Recherche 1st class) with the French National Center for Scientific Research (CNRS) in the Applied Mathematics and Image Processing group at CEREMADE, Universite Paris Dauphine, Paris, France. His research interests and teaching at university are applications of Partial Differential Equations and variational methods to Image Processing and Computer Vision, like deformable models, minimal paths, geodesic curves, surface reconstruction, Image segmentation, registration and restoration.
For many years, he has been editorial member of the Journal of Mathematical Imaging and Vision, Medical Image Analysis and Machine Vision and Applications.

 

Prof. Keisuke Kameyama

University of Tsukuba, Japan

Keisuke Kameyama received the B.E., M.E., and PhD degrees from Tokyo Institute of Technology, Tokyo, Japan. From 1992 to 2000 he worked as a Research Associate at Tokyo Institute of Technology. In 2000, he joined the Tsukuba Advanced Research Alliance (TARA),
University of Tsukuba. Currently, he works as a Professor at the Institute of Systems and Information Engineering, University of Tsukuba. He has been working in the field of pattern recognition, signal processing, and neural networks for applications such as image classification, image restoration, media retrieval and biometric authentication. Dr. Kameyama is a member of IEEE, IEICE, JNNS and APNNS.
 

 

Invited Speakers

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.

 

Assoc. Prof. Aslina Baharum, Sunway University, MALAYSIA

Associate Professor Ts. Dr. Aslina Baharum (Dr. Ask) holds the esteemed position of Associate Professor at the School of Engineering and Technology within Sunway Uni-versity. Previously, she has served as a Senior Lecture at the Faculty of Computer and Mathematical Sciences in Universiti Teknologi MARA (UiTM), and as a Senior Lecturer at the Faculty of Computing and Informatics in Universiti Malaysia Sabah (UMS), where she led the User Experience (UX) research group. Completing her academic journey, she also brings valuable industry experiences as a former IT Officer at the Forest Research Insti-tute of Malaysia (FRIM). She had experienced more than 20 years in the IT field.
She earned her PhD in Visual Informatics from UKM, a Master Science degree in IT from UiTM, and Bachelor of Science (Hons.) in E-Commerce from UMS. Dr. Ask is an active member of the Young Scientists Network - Academy of Science Malaysia, a Senior Mem-ber IEEE, and a certified Professional Technologist recognized by MBOT. She has further contributed to the field by serving as an auditor for MBOT/MQA.
She has received medals at research and innovation showcases and has been honored with awards for her teaching, excellence in service, and outstanding contributions as a researcher. Her bibliography showcases her prolific output, including co-authored and co-edited books, over 20 book chapters, technical papers presented at conferences, and more than 60 peer-reviewed and indexed journals publications. She has also taken on editorial roles for several journals and actively participated as a committee member, ses-sion chair, and part of editorial teams while actively participating as a reviewer. Dr. Ask has graced numerous conferences with her wisdom, delivering keynote, invited and ple-nary talks.
Her research interests span a wide spectrum, encompassing UX/UI, HCI/Interaction De-sign, Product & Service Design, Software Engineering & Mobile Development, Infor-mation Visualization & Analytics, Multimedia, ICT, IS and Entre/Technopreneurship. Dr. Ask’s expertise extends beyond the academic realm; she imparts her knowledge through workshops and talks on various subjects, including UI/UX, Entrepreneurship, Vid-eo/Image Editing, E-Commerce/Digital Marketing, STEM, Design Thinking and etc.
Furthermore, she is certified as a Professional Entrepreneurial Educator, Executive En-trepreneurial Leader, and HRDF Professional Trainer, which highlights her strong com-mitment to education and entrepreneurship. Dr. Ask is highly regard in her field, dedicat-ed and consistently pushing the boundaries of knowledge and sharing her wealth of ex-pertise with others.

Prof. Xiwen Zhang, Beijing Language and Culture University, China

XiWen Zhang is currently a full professor of Digital Media Department, School of Information Science, Beijing Language and Culture University.
Prof. Zhang worked as an associated professor from 2002 to 2007 at the Human-computer interaction Laboratory, Institute of Software, Chinese Academy of Sciences. From 2005 to 2006 he was a Post doctor advised by Prof. Michael R. Lyu in the Department of Computer Science and Engineering, the Chinese University of Hong Kong. From 2000 to 2002 he was a Post doctor advised by Prof. ShiJie Cai in the Computer Science and Technology department, Nanjing University.
Prof. Zhang's research interests include pattern recognition, computer vision, and human-computer interaction, as well as their applications in digital image, video, and ink. Prof. Zhang has published over 60 refereed journal and conference papers. His SCI papers are published in Pattern Recognition, IEEE Transactions on Systems Man and Cybernetics B, Computer-Aided Design. He has published more than twenty EI papers.
Prof. Zhang received his B.E. in Chemical equipment and machinery from Fushun Petroleum Institute (became Liaoning Shihua University since 2002) in 1995, and his Ph.D. advised by Prof. ZongYing Ou in Mechanical manufacturing and automation from Dalian University of Technology in 2000.