Organizers

Jihong Park

Jihong Park is an Associate Professor at the Singapore University of Technology and Design (SUTD) and an Honorary Associate Professor at Deakin University. He serves as the Deputy Director for the Future Communications Research and Development Programme (FCP) in Singapore. Prior to joining SUTD, he was a Lecturer at Deakin University, Australia (2020-2024). Dr. Park received his B.S. and Ph.D. degrees from Yonsei University, Seoul, Korea, in 2009 and 2016, respectively. His recent research interests focus on AI-native semantic communication and distributed machine learning for 6G. Dr. Park has frequently organized and served as a Program Committee Member for over 80 conferences and workshops, including co-chairing the 2023 IEEE GLOBECOM Symposium on Machine Learning for Communications and the 2024 IJCAI QAI Workshop. He has received several prestigious awards, including the 2023 IEEE Communication Society Heinrich Hertz Award and the 2022 IJCAI Trustworthy Federated Learning Workshop Best Paper Award. Currently, Dr. Park is an Editor of IEEE Transactions on Communications in the areas of Semantic Communications, Distributed and Multi-Agent Learning over Wireless Networks.

Zihan Chen

Zihan Chen is a postdoctoral research fellow at Singapore University of Technology and Design. Zihan received his Ph.D. degree from the Singapore University of Technology and Design-National University of Singapore Joint Ph.D. Program in 2022. His research mainly focuses on federated learning and network intelligence. His works have been published in CVPR, NeurIPS, ICLR, ICASSP, IEEE TSP, among others. He is the co-organizer of the AAAI 2025 workshop on Artificial Intelligence for Wireless Communications and Networking (AI4WCN).

Eleonora Grassucci

Eleonora Grassucci is an Assistant Professor at Sapienza University of Rome, Italy, where she received an MSc with honors in Data Science and then a PhD with honors in Information and Communication Technologies. Her thesis focused on lightweight and hypercomplex generative models, for which she was awarded the Doctoral Dissertation Award by the International Neural Network Society (INNS). Her research primarily focuses on generative models and multimodal representation learning, and on bridging the gap between AI and wireless communication by enhancing semantic communication with generative models or developing quantization methods for diffusion models in resource-constrained environments. She gave several talks on generative semantic communication and published papers in both AI and communication venues. She has been the organizer and the guest editor for special sessions and special issues that took a step towards the marriage of AI, generative models in particular, and wireless communication. Currently, she is Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and she is currently organizing a two-day workshop on AI&Mathematics for Education (YRIA: Young Researchers in Action) granted by Sapienza University of Rome in collaboration with several National Research Institutes.

Xueyan Niu

Xueyan Niu is a Principal Engineer with the Theory Lab at Huawei 2012 Labs. She worked with the Cognitive Computing Lab at Baidu Research in 2021. Dr. Niu received the Ph.D. degree in operations research from Purdue University, West Lafayette, IN, USA, in 2021 and the B.S. degree in mathematics and applied mathematics from Peking University, Beijing, China, in 2016. Her research is centered on information theory and semantic communication, encompassing machine learning domains such as language models, image processing, and video compression. She has published papers in top-tier journals and conferences in both areas of communication and machine learning, including IEEE Transactions on Information Theory, IJCAI, and ACL. She has frequently served as a guest editor for the special issue on Goal-Oriented Semantic Communication in IEEE Network and as a reviewer for NeurIPS, ICML, ICLR, ISIT, and GLOBECOM.

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