KEYNOTE SPEAKERS

Keynote Speakers

Prof. James Kwok (IEEE Fellow)

Hong Kong University of Science and Technology, Hongkong

James Kwok is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. He is an IEEE Fellow. Prof Kwok received his B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his Ph.D. degree in computer science from the Hong Kong University of Science and Technology. He then joined the Department of Computer Science, Hong Kong Baptist University as an Assistant Professor. He returned to the Hong Kong University of Science and Technology and is now a Professor in the Department of Computer Science and Engineering. He is serving as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Neurocomputing, Artificial Intelligence Journal, International Journal of Data Science and Analytics, and on the Editorial Board of Machine Learning. He is also serving / served as Senior Area Chairs of major machine learning / AI conferences including NeurIPS, ICML, ICLR, IJCAI, and as Area Chairs of conferences including AAAI and ECML. He is on the IJCAI Board of Trustees. He is recognized as the Most Influential Scholar Award Honorable Mention for "outstanding and vibrant contributions to the field of AAAI/IJCAI between 2009 and 2019". Prof Kwok will be the IJCAI-2025 Program Chair.

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. Limei Song

Tianjin Polytechnic University, China

Limei Song, a professor, and doctoral supervisor, graduated from Tianjin University with a master's degree and a Ph.D., currently serves as the deputy director of the Department of Information Science, as well as the executive deputy dean of the School of Control Science and Engineering of Tiangong University, who is also a Tianjin "131" first-level talent, Tianjin higher education school innovation team leader. She has been researching machine vision, three-dimensional measurement, virtual reality, and automation for many years. She has won one national bronze award in the innovation group of the First National Postdoctoral Innovation and Entrepreneurship Competition, and four Tianjin Science and Technology Progress Awards. As the project leader, she has presided over and completed a number of vision projects such as binocular stereoscopic machine vision detection, automatic product defect detection, and scientific research projects of the National Natural Science Foundation of China and the National Innovation Fund for Small and Medium-sized Enterprises. She has won many awards such as the National Woman Pacesetter, Tianjin 5.1 Labor Medal, the Bearer of Red Flag March 8 of Tianjin, Tianjin's Most Beautiful Female Teacher, the Hong Kong Mulberry Award, etc.

 

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.

 

Assoc. Prof. Aslina Baharum, Universiti Teknologi MARA (UiTM), Jasin Campus, 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.