| Assoc. Prof. Bingyan LiuBeijing University of Posts and Telecommunications, China Liu Bingyan is an Associate Professor and Doctoral Supervisor at the School of Computer Science, Beijing University of Posts and Telecommunications (BUPT), and is supported by a university-level talent program. He serves as an Executive Member of the System Software Specialized Committee of the China Computer Federation (CCF), a Member of the Intelligent Service Specialized Committee of the Chinese Association for Artificial Intelligence (CAAI), and a Member of the Beijing Key Laboratory of Intelligent Communication Software and Multimedia. He received his Ph.D. from the School of Computer Science, Peking University. His main research interests include ubiquitous computing, optimization of edge-side/embodied intelligent agent systems, trusted computing, federated learning, and smart healthcare. In the past five years, he has published over 20 papers in top-tier CCF-A academic conferences and journals such as Ubicomp, DAC, IEEE S&P, USENIX Security, KDD, WWW, ICSE, ISSTA, and CVPR. His research achievements have been featured in multiple academic live streaming channels and public WeChat accounts. He serves as a program committee member/reviewer for top conferences and journals including Nature Communications, Ubicomp, TPAMI, TMC, ICML, ICLR, KDD, TKDE, TOIS, JSAC, and WWW. He has led projects funded by the National Natural Science Foundation of China (NSFC), the Beijing Key Laboratory Program, the CCF-Huawei Huyalin Fund Special Program on System Software, the CCF-Ant Group Privacy Computing Fund, as well as several industry-commissioned projects. He has received honors such as the Microsoft “Tomorrow Star”, the Academic Innovation Award, and the Beijing Outstanding Undergraduate Thesis Advisor Award. |
| Prof.Huaiqiu ZhuPeking University, China Huaiqiu Zhu currently serves as the Dean of the College of Future Technology at Peking University, and concurrently holding the positions of Director of the Center for Artificial Intelligence and Digital Life at Peking University and Secretary-General of the Beijing Bioinformatics Society. His research focuses on biomedical informatics and computational biology, with an emphasis on applying deep learning and artificial intelligence methods to multi-omics problems in high-throughput data. He has published over 70 SCI papers in journals such as Nature Communications, Nature Machine Intelligence, Science Bulletin, Nucleic Acids Research, Gastroenterology, and Clinical Gastroenterology & Hepatology. He has led and undertaken more than 20 major projects, including key and general projects of the National Natural Science Foundation of China, projects under the 973 and 863 Programs, key special projects of the National Key R&D Program, and major projects of the National Science and Technology Major Special Program. |
| Engr. Faizan HamayatCentre of Excellence AI Technology Centre, Pakistan Faizan Hamayat is a Professional Engineer, Project Manager, and AI Researcher with over 7 years of industry experience in advanced technology domains. He holds a BS in Electronics Engineering and an M.Sc. in Electrical Engineering, both supported by applied research projects that received commendation and institutional funding. He is currently working as an AI Engineer at Shenzhen AiMall Technology Co. Ltd., China, and as an AI Engineer and Researcher at the Machine Learning and Deep Learning Lab, Centre of Excellence AI Technology Center (CoE AITeC), National Centre for Physics, Islamabad. His work focuses on AI driven systems, intelligent automation, and sustainable solutions for smart buildings and smart cities. He has led multiple industry projects as a Project Lead and Manager, translating research into practical solutions. He has authored over 20 peerreviewed publications in reputed venues and serves as a reviewer for international journals and conferences. In addition to his academic and research contributions, Mr. Faizan has organized and coordinated numerous AI conferences, seminars, workshops, courses, and competitions at both national and international levels. He has served in key leadership and organizational roles, including Vice Chair, Program/Event/Workshop/Course Coordinator, Technical Program Committee (TPC) Member, and Review Coordinator. He has also supervised BS and MS theses as an industry co-supervisor, supporting research design, funding, and execution. He actively promotes academia–industry collaboration through conferences, workshops, and training programs. He is committed to advancing intelligent systems and contributing to real-world impactful AI innovation. |
