DST High Table Dinner (for Year 1 students)-Faculty of Science and Technology

Date: 17 October 2019 (Thursday)
Time: 18:00-20:10
Venue: T1-101
MC: Dr. Zhe Xuanyuan (Programme Director of Data Science, UIC)
Chairperson: Prof. Huaxiong Huang (Dean, Division of Science and Technology)
Speaker: Prof. Qiang Yang
               Chief Artificial Intelligence Officer of Webank
               Chair Professor of Computer Science and Engineering Department at HKUST
               President of Hong Kong Society of Artificial Intelligence and Robotics (HKSAIR)

Speech Topic: Last Mile of Artificial Intelligence: Advances in Federated Learning

About the speaker:

Prof. Qiang Yang is a Chief Artificial Intelligence Officer of Webank, a Chair Professor of Computer Science and Engineering Department at Hong Kong University of Science and Technology (HKUST) and he is the President of Hong Kong Society of Artificial Intelligence and Robotics(HKSAIR). His research interests are artificial intelligence, machine learning, data mining and planning. He is a fellow of AAAI, ACM, IEEE, IAPR, AAAS and CAAI. He received his PhD from the Department of Computer Science at the University of Maryland, College Park in 1989 and had been a faculty member at the University of Waterloo between 1989 and 1995. He had been the founding director of the Huawei's Noah's Ark Research Lab between 2012 and 2015 and the founding director of HKUST’s Big Data Institute. He was the head of the Computer Science and Engineering Department from 2015 to 2017. He was the founding Editor in Chief of the ACM Transactions on Intelligent Systems and Technology (ACM TIST) and the founding Editor in Chief of IEEE Transactions on Big Data (IEEE TBD). He received the ACM SIGKDD Distinguished Service Award in 2017. He was the President of IJCAI (2017-2019) and is an executive council member of AAAI.

Abstract:

Artificial Intelligence has achieved great success and given high people hopes for a more efficient and better society. However, the development of AI has met some major challenges. Chief among the challenges are issues related to the availability of the Big Data. In many practical scenarios, high-quality big data is hardly available. The society demands more governance on the data, especially in light of the recent events related to user privacy. In this talk, I will present these challenges and explore some potential solutions for addressing these challenges.

Registration:

The online registration will be opened at http://mis.uic.edu.cn on 14:00 on 7 October 2019. Students who have successfully registered for the event will receive an automatic reply email from MIS email.

More details please refer to the email sent by UIC HTD（htd@uic.edu.cn） .