Prof. Tieyong Zeng
The Chinese University of Hong Kong (CUHK), Hong Kong, China
Short Bio: Dr. Tieyong Zeng is a Professor at the Department of Mathematics, The Chinese University of Hong Kong (CUHK). Together with colleagues, he has founded the Center for Mathematical Artificial Intelligence (CMAI) since 2020 and served as the director of CMAI. He received the B.S. degree from Peking University, Beijing, China, the M.S. degree from Ecole Polytechnique, Palaiseau, France, and the Ph.D. degree from the University of Paris XIII, Paris, France, in 2000, 2004, and 2007, respectively. His research interests include image processing, optimization, artificial intelligence, scientific computing, computer vision, machine learning, and inverse problems. He has published around 100 papers in the prestigious journals such as SIAM Journal on Imaging Sciences, SIAM Journal on Scientific Computing, Journal of Scientific Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Image Processing (TIP), IEEE Medical Imaging (TMI), and Pattern Recognition. He is laureate of the 2021 Hong Kong Mathematical Society (HKMS) Young Scholars Award, due to the significant contributions in mathematical imaging and data science.

Prof. Xinmin Zhang
Zhejiang University, China
Short Bio: Xinmin Zhang is a Professor with the State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, China. He received the Ph.D. degree in System Science from Kyoto University, Japan, in 2019. From April 2019 to December 2019, he was a Postdoctoral Research Fellow in the Department of Systems Science, Kyoto University, Japan. From 2020 to 2023, he was an Associate Professor at the College of Control Science and Engineering, Zhejiang University, China. He has published more than 60 technical papers in peer-refereed journals and prestigious conference proceedings, including IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Artificial Intelligence、IEEE Transactions on Industrial Informatics、Engineering Applications of Artificial Intelligence、Science China Information Sciences. He has received several research projects, including Scientific and Technological Innovation 2030 - "New Generation Artificial Intelligence", National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province, and University-enterprise cooperation projects. He has been invited as a speaker and TPC member for several international conferences. His research interests include Industrial Artificial Intelligence, Industrial Big Data, Fault Diagnosis, Virtual Sensing Technology/Soft-sensor, Machine Learning, Reinforcement Learning, and Deep Learning with applications to industrial processes.

Assoc. Prof. Noor Afiza Mat Razali
National Defence University of Malaysia, Malaysia
Short Bio: Ts. Dr. Noor Afiza Mat Razali is an Associate Professor at the Defence Science and Technology Faculty at the National Defence University of Malaysia (NDUM). She holds a bachelor's degree in Computer and Information Engineering, as well as a master's degree in Computer Science and a PhD of Science in Computer Science with a research area in Cybersecurity from universities in Japan. She has deep roots in IT and digitalization, having worked 10 years in the IT industry in multiple international corporations focusing on IT solution implementations, operation support, and project management locally and internationally before venturing into academic and research career. Ts. Dr. Noor Afiza’s vast swathe of research and expertise covers Cybersecurity, Artificial Intelligence (AI), Internet of Things (IoT), Big Data Analytics and Blockchain Technology focusing on the domains of National Security, Smart City, Economy and Finance, Human-Computer Interaction and Disaster Management. She is a recipient of various grants for research in Cybersecurity, AI and IoT and published academic publications in her research areas. With regard of her expertise, Ts. Dr. Noor Afiza Mat Razali was appointed to various appointment for Board of Directors, consultation, panel of expert from the public and private sector. Ts. Dr. Afiza also contributes to the well-being of Malaysia’s international relations through assisting in governmental policy discussions, organising national and international level conferences and seminars focusing on economic, education and human resource development between Malaysia and Japan.

Assoc. Prof. Lei Chen
Shandong University, China
Speech Title: Deep Neural Networks for Spatio-temporal Action Localization
Abstract: With the increasing popularity of surveillance devices, there is a growing demand for intelligent action recognition. Spatio-temporal action localization has gradually become an important application of deep learning in computer vision. Compared with the usual sense of action recognition, spatio-temporal action localization task can anchor all kinds of behaviours and individuals from time and space. Traditional spatio-temporal action location algorithms have the problem of insufficient fusion ability for spatio-temporal feature extraction and incomplete application of information at various levels. How to extract spatio-temporal action features more efficiently for detection under the condition of ensuring real-time inference speed, the solution of these problems will greatly promote the development and application of spatio-temporal behavioural localization algorithms. To address the problem, we design a multidimensional path aggregation network for spatio-temporal action location, which aggregates the features of multiple paths and fuses the corresponding hierarchical features to obtain spatio-temporal behavioural features. The experimental results demonstrate better performance compared with other algorithms.
Short Bio: Lei Chen received the B.Sc. and M.Sc. degrees in electrical engineering from Shandong University, Jinan, China, and the Ph.D. degree in electrical and computer engineering from University of Ottawa, Ontario, Canada. He is currently an Associate Professor with the School of Information Science and Engineering, Shandong University, China. His research interests include image processing and computer vision, visual quality assessment and pattern recognition, machine learning and artificial intelligence. He was the principal investigator of projects granted from the National Natural Science Foundation of China, National Natural Science Foundation of Shandong Province, China Postdoctoral Science Foundation, etc. He has published more than 30 papers on top international journals and conferences in recent years including IEEE TIP, Signal Process., ICME, etc. He was awarded the Future Plan for Young Scholars of Shandong University. He served for the ICIGP 2021, ICIGP 2022, IoTCIT 2022, and MLCCIM 2022 as Technical Co-Chair or Publicity Co-Chair.

Mr. Ahmet Tugrul Bayrak
Ata Technology Platforms, Istanbul, Turkey
Speech Title: The Evolution of Natural Language Processing and Generative AI Applications
Abstract: Over the past decade, revolutionary advancements in Natural Language Processing (NLP) have set the stage for transformative changes across multiple industries, from healthcare to finance, enhancing machine understanding and content generation capabilities. As universities, companies and governments look to leverage these technologies, the impact on productivity and information accessibility has been profound. Key innovations like word embeddings, semantic parsing, and attention mechanisms have not only transformed NLP systems but also paved the way for more intuitive human-machine interactions. Additionally, Generative AI has begun a new era, particularly with models such as BERT and GPT. However, using generative AI also introduces other challenges, such as ethical issues and security concerns. Ethically, there is the risk of biases and creating deceptive content, while security risks include the potential misuse of AI tools for fraud or misinformation, emphasizing the need for strict regulatory and security measures. As we move forward, it will be crucial to manage these technologies wisely, ensuring they enhance social benefits while reducing associated risks.
Short Bio: Ahmet Tugrul Bayrak is the Data Science Manager at Ata Technology Platforms in Turkey. He holds a Bachelor of Science degree in Mathematical Engineering from Yildiz Technical University and another in Computer Engineering from The Technological University of the Shannon. Additionally, he attended Uppsala University for a Master's degree in Computer Science. Throughout his career, Mr. Bayrak has engaged extensively as a software engineer and data scientist. He has participated in numerous projects with a particular focus on Natural Language Processing and Recommender Systems. In addition to his contributions to industry practices, Mr. Bayrak is also actively engaged in academia, with his academic portfolio including many published papers.

Dr. Xiaogang Wang
Short Bio: Xiaogang Wang is a senior researcher in LIGHTSPEED STUDIOS, Singapore, where he focuses on applying computer vision techniques to design and generate 3D scenes. Before that, he was a senior engineer at Motional, Singapore, where he conducts BEV perceptions and HD map generation. Before joining Motional, he was a research fellow at National University of Singapore (NUS) from Oct. 2020 to Sep. 2021. Prior to that, he did his PhD in NUS from Aug. 2016 to Aug. 2020. He has published several top journals and conference papers, including IEEE TPAMI, CVPR, ICCV, etc. His research focuses on deep learning and computer vision, especially for 3D generation and reconstruction. He also serves as a reviewer for TPAMI, TNNLS, TVCG, TIP, RA-L, ICCV, ECCV, CVPR, IROS and ICRA.