Leendert van Doorn is a technology executive and computer scientist with more than three decades of experience in semiconductors, cloud computing, cybersecurity, systems software, and artificial intelligence.

He has held senior technical and engineering leadership positions at Qualcomm, Microsoft, AMD, and IBM Research. Most recently, he served as Senior Vice President at Qualcomm.He received his Ph.D. from Vrije Universiteit Amsterdam under Professor Andrew S. Tanenbaum. He has also served on the boards of the Trusted Computing Group, CXL Consortium, and Gen-Z Consortium.

Title:Uncomfortable Questions for the AI Era

Abstract:Generative AI is making answers, code, designs, and hypotheses easier to produce. As a result, the constraints on innovation may shift toward judgment, verification, feedback, and computing resources.This talk examines how research, education, computing, and engineering organizations may need to adapt as AI transforms established workflows and changes their most important bottlenecks.

Zhenjiang Hu is Dean and Chair Professor of the School of Computer Science at Peking University. His research focuses on programming languages and software engineering, particularly functional programming, bidirectional programming, and system software verification.

He received his B.S. and M.S. degrees from Shanghai Jiao Tong University and his Ph.D. from the University of Tokyo.He is an IEEE Fellow, a Fellow of the Japan Federation of Engineering Societies, a member of the Engineering Academy of Japan, and a member of Academia Europaea.

Title:Reshaping CS Education in the AI Era: The “101 Plan” and PKU’s Path

Abstract:This talk explores how artificial intelligence is reshaping the content, methods, and organization of computer science education.Drawing on China’s national “101 Plan” and Peking University’s educational practices, the talk will discuss curriculum reform and opportunities to build a collaborative intelligent-education ecosystem across the Asia-Pacific region.

A leading expert in Human-Centered Artificial Intelligence, Miao has made far-reaching contributions to AI research across healthcare, ageing, education, and the digital industry. She has published over 200 papers in top-tier journals and conferences. She has also received more than 20 best paper awards and AI honors, including the 2019 Singapore National Research Foundation (NRF) Investigatorship and the AAAI Innovative Application Award in both 2018 and 2020.Miao serves on the editorial boards of several international journals. She has also served as Chair, Co-Chair, or Technical Program Committee member for many premier international AI conferences.Chunyan Miao is a Fellow of the Academy of Engineering Singapore and an IEEE Fellow.

Sue Moon received her B.S. and M.S. degrees in Computer Engineering from Seoul National University and her Ph.D. in Computer Science from the University of Massachusetts Amherst.She joined KAIST in 2003, and her research focuses on datacenter networking. She has served on numerous technical committees and chaired major international conferences, including WWW 2013 and ACM CoNEXT 2017.In 2026, she serves as President of KIISE and Director General for National Strategic R&D at the National Research Foundation.

Title:University Education in the Age of AGI

Abstract:As generative AI advances toward artificial general intelligence, universities must consider changes beyond adding AI-related courses or teaching students how to use new tools.Drawing on discussions involving Korea’s National AI Strategy Committee, KIISE, and KAIST, this talk examines how curricula, teaching methods, assessment systems, and the role of faculty may need to evolve in the age of AGI.

Song Guo is Director of the HKUST Center of Physical AI and Chair Professor in the Departments of Computer Science and Engineering and Electrical and Computer Engineering at the Hong Kong University of Science and Technology.

His research has contributed to the development of edge intelligence, physical AI, and machine learning systems. He received the IEEE Edward J. McCluskey Technical Achievement Award in 2024 and more than a dozen Best Paper Awards from IEEE and ACM.He is a Fellow of the Royal Society of Canada, a Fellow of the Canadian Academy of Engineering, a Member of Academia Europaea, and an IEEE Fellow.

Title:When Solving Gets Cheap: From Accelerating Discovery to Developing Researchers

Abstract:Drawing on research in Physical AI, this talk examines how AI can accelerate the solution of complex research problems while increasing the importance of verification and human judgment.It will also discuss the “Performance–Competence Gap,” in which students and researchers may use AI to perform advanced tasks before developing the professional judgment traditionally associated with such performance.

Lily Sun is Director of Accelerator at Microsoft Research Asia, where she leads initiatives at the intersection of research, innovation, talent, and ecosystem development in the Asia-Pacific region. With more than a decade of experience at MSRA, she is at the forefront of exploring how AI is reshaping the way research is conducted, innovation is accelerated, and talent is cultivated. Her team advances emerging areas including Physical AI, Societal AI, Healthcare AI, AI and Brain Science, and other cross-disciplinary frontiers, while building partnerships with universities, companies, and research institutions to turn cutting-edge research into practical applications. Her team also runs a range of global programs that support and mentor the next generation of exceptional researchers and AI-native innovators.

CNCC是一个宏观论述技术趋势的大会，具有规格高、规模大、内容丰富等特点，会议形式包括大会特邀报告、大会论坛、专题论坛、特色活动及展览。大会汇聚两院院士、国内外顶尖学者、知名企业家等亲临大会，展望前沿趋势，分享创新成果。ACM、IEEE CS、IPSJ、KIISE等国际计算机组织的代表也多次获邀现场参加这一盛会。CNCC2026将于10月21-24日在四川省成都市举办，大会主题是“数聚驱动，智算未来”，欢迎各界前来参会。