ICCDA 2024 Keynote Speakers
Prof. Xi Li
Zhejiang University, China
IAPR/IET Fellow
李玺 教授，浙江大学
Speech Title: Multimodal Visual Structure Learning
Xi Li is a QIushi distinguished professor of Zhejiang University, a National Outstanding Young Scholar, an IAPR/IET Fellow, an IEEE Senior Member, a CCF Distinguished Member, one of the top 2% scientists in the world, a 2023 "Chinese Highly Cited Scholar" by Elsevier, and a National Youth Distinguished Expert. He is engaged in research in the field of artificial intelligence, has published more than 200 high-quality academic papers, and has won four best academic paper awards. His achievements have been applied to companies such as Huawei, Alibaba, and Hikvision.
李玺，浙江大学求是特聘教授，国家杰青，IAPR/IET Fellow，IEEE Senior Member，CCF杰出会员，全球前2%顶尖科学家，Elsevier 2023“中国高被引学者”，国家青年特聘专家。从事人工智能领域研究，发表高水平学术论文200余篇，获得四项最佳学术论文奖。成果应用于华为、阿里、海康等企业。
Shaoen Wu
Kennesaw State University, USA
伍绍恩 教授，美国肯尼索州立大学
Speech Title: Security in the Rising of AI
Dr. Shaoen Wu is the Department Chair and a full professor of Information Technology at Kennesaw State University. He also serves as a Steering Committee Chair of IEEE MMTC. Dr. Wu worked as the State Farm Endowed Chair Professor in the School of Information Technology at Illinois State University, served on the Advisory Council of Scholarship for the Vice Provost for Research, the Dean's Faculty Advisory Board, and the Assistant Department Chair of Computer Science at Ball State University, also worked as an assistant professor in the School of Computing at the University of Southern Mississippi, a Staff Scientist at ADTRAN, and a Member of Technical Staff at Bell Labs, Lucent Technologies. He has been a General or TPC Chair for several international conferences, including the CSM of Globecom 2021. Dr. Wu has directed research projects of several million dollars funded by US federal agencies and industry.
Ruili Wang
Wenzhou University of Technology, China
王睿利 教授，温州理工学院，新西兰工程院院士
Speech Title: AI + Healthcare + Rehabilitation
Prof Ruili Wang received the Ph.D. degree in Computer Science from Dublin City University, Dublin, Ireland. His research interests include speed processing, language processing, image processing, data mining, intelligent systems, and complex systems. Prof. Wang serves as an Associate Editor and a member of the editorial boards of five international journals such as Knowledge and Intelligent Systems (Springer), Health Information Science and Systems (Springer), Applied Soft Computing (Elsevier), and Complex and Intelligent Systems (Springer). He has received prestigious research grants in New Zealand such as the Marsden Fund (2013-2017), NSC Science for Innovation Seed Project Fund (2017). MBIE Catalyst Strategic Fund (2020-2025). Prof Wang has supervised 30 PhD students to completion.
Michael John Witbrock
The University of Auckland, New Zealand
Michael John Witbrock 教授，新西兰奥克兰大学
Speech Title: Generalising Minds: Animals, AI, Organisations and the Nature of Intelligence
Prof. Michael John Witbrock is a computer science professor at The University of Auckland, New Zealand, directing the Strong AI Lab (SAIL) and the Natural, Artificial, and Organisational Intelligence Institute (NAOI). He earned a PhD in Computer Science from Carnegie Mellon University and a BSc (Hons) in Physiological Psychology from the University of Otago. His career includes roles such as Science Director at Precision Driven Health (NZ) and leading the “Learning to Reason” AI at IBM’s Thomas J. Watson Research Centre in the USA.
His research at SAIL merges machine learning, reasoning, and natural language understanding to enhance AI's societal benefits both locally and worldwide. Current projects include developing adaptive quasi-logical systems, constructing deep learning frameworks for robust knowledge bases, applying AI agent systems to scientific research and studying ethical behaviours in animals to guide responsible AI integration into society.
Prof. Witbrock is an active member of the AI Forum NZ and chairs the AI for Good Foundation. He has authored and co-authored numerous publications in deep learning and general AI, and holds several patents, reflecting his interests in reasoning, learning, computational linguistics and general AI. Additionally, as an entrepreneur and investor, he supports innovative ventures in AI and social good, demonstrating a commitment to the positive evolution of technology in society.