[Upcoming Event] 25th Anniversary Celebration: Master Lecture on Science and Technology – Anniversary Special Abductive Learning: A New AI Paradigm Integrating Machine Learning and Logical Reasoning

25th Anniversary Celebration:

Master Lecture on Science and Technology – Anniversary Special

Abductive Learning: A New AI Paradigm Integrating Machine Learning and Logical Reasoning

Event Notice

Date: Wednesday, March 26, 2025
Time: 10:30 – 12:00
Location: Block D Conference Hall of MUST
Theme: Abductive Learning: A New AI Paradigm Integrating Machine Learning and Logical Reasoning
Distinguished Speaker: Professor Zhi-Hua Zhou
President of the IJCAI Trustee, World- renowned AI Expert, 2025 Honorary Doctor of MUST

Hosted by Macau University of Science and Technology, the Great Master of Science and Technology Lecture Series –Special Session will take place at 10:30 AM on March 26, 2025, in Block D Conference Hall of MUST. The lecture, titled "Abductive Learning: A New AI Paradigm Integrating Machine Learning and Logical Reasoning", will be delivered by Professor Zhi-Hua Zhou, President of the IJCAI Trustee, World-renowned AI expert, and 2025 Honorary Doctor of MUST.

Professor Zhi-Hua Zhou, President of the IJCAI Trustee, World-renowned AI expert, and 2025 Honorary Doctor of MUST, specializes in artificial intelligence, machine learning, and data mining. He has made outstanding contributions to ensemble learning, multi-label learning, and weakly supervised learning.

Professor Zhou enrolled in the Department of Computer Science and Technology at Nanjing University in 1992, where he earned his bachelor's, master's, and doctoral degrees. He began teaching at Nanjing University in 2001 and was promoted to associate professor in 2002. In 2003, he received the National Science Fund for Distinguished Young Scholars and was promoted to professor in the same year. He became a Ph.D. supervisor in 2004, was selected as a national-level candidate for the "New Century Talents Project" in 2009, was elected as a Fellow of the European Academy of Sciences in 2017, and became Vice President of Nanjing University in 2024, having previously served as the Dean of the Department of Computer Science and the School of Artificial Intelligence.

Professor Zhou has authored four books, including Machine Learning and Ensemble Methods: Foundations and Algorithms (both in Chinese and English). He has published over 200 papers in top international journals and conferences. According to Google Scholar, his work has been cited more than 100,000 times, with an H-index of 129. Several of his inventions have been successfully implemented in leading enterprises. He has led numerous significant scientific research projects and achieved groundbreaking results in major initiatives.

As the first author, he has received two National Natural Science Awards (Second Class), a First Prize in Natural Science from the Ministry of Education, and a First Prize in Science and Technology from Jiangsu Province. His accolades include the IEEE Computer Society Edward J. McCluskey Technical Achievement Award, the CCF Wang Xuan Award, and the inaugural CCF-ACM Artificial Intelligence Award, among others. He is a Fellow of the European Academy of Sciences, ACM, AAAI, AAAS, and IEEE. He is also the founder of the Asian Conference on Machine Learning and serves as the President of the IJCAI Board of Trustees. Additionally, he is the Editor-in-Chief of Frontiers of Computer Science, a leading journal under China's Outstanding Academic Action Plan.

Professor Zhou previously served as the Director of the Department of Computer Science and Technology, Dean of the School of Artificial Intelligence, and Executive Deputy Director of the State Key Laboratory for Novel Software Technology at Nanjing University. He is currently a member of the 14th National Committee of the Chinese People's Political Consultative Conference (CPPCC).

In this lecture, Professor Zhou will focus on "Abductive Learning: A New Paradigm Integrating Machine Learning and Logical Reasoning in Artificial Intelligence." The lecture is expected to inspire experts and scholars in attendance. Machine learning and logical reasoning (including traditional knowledge engineering) represent the mainstream research directions in artificial intelligence during different periods. The former excels at utilizing "data facts," while the latter leverages "domain knowledge," and the two have evolved almost independently. However, when solving practical problems, humans often rely on both "data facts" and "domain knowledge." This has posed a long-standing foundational challenge in the field of artificial intelligence: how to enable machine learning and logical reasoning to work effectively within a unified and collaborative framework. Professor Zhou will share his insights and perspectives on this topic. It is hoped that the lecture will foster in-depth exchanges and discussions among experts and attendees, spark new ideas, strengthen collaborative foundations, and provide fresh perspectives for the development of artificial intelligence.

Registration & Contact

Open to the public. For inquiries or registration, please contact:
Tel: +853 8897 2114
Email: dgs-ad@must.edu.mo