Jian Pei
Duke University, USA
Title: Data and AI Markets in a Nutshell
Abstract:
Data and AI model services, often regarded as the driving force of the digital and AI economy, are powering a wide range of applications and creating significant business opportunities. Data and AI model service pipelines are frequently enabled by data and AI markets, yet the landscape of these markets remains relatively unfamiliar to many professionals in data science, machine learning, and AI. This tutorial provides an intuitive, concept-driven, and examplebased introduction to this emerging domain. Through practical examples, we will explore the motivations, fundamental principles, key techniques, major challenges, and research and development opportunities in data and AI markets. The tutorial will cover core concepts, market models, and operational mechanisms—such as privacy, security, and deployment—as well as market administration, offering a comprehensive foundation for understanding and advancing this transformative field.
Bio:
Jian Pei is the Arthur S. Pearse Distinguished Professor and Chair of the Department of Computer Science at Duke University. A leading researcher in data science, machine learning, big data, data mining, and database systems, he has published extensively, garnering more than 130,000 citations with an H-index of 114. He is a fellow of the Royal Society of Canada, the Canadian Academy of Engineering, ACM, and IEEE. A recognized leader in data and AI markets, he has made tangible contributions to data-driven decision-making, responsible AI, and the economics of data exchange. His contributions have been recognized with prestigious honors, including the ACM SIGKDD Innovation Award, the ACM SIGKDD Service Award, and the IEEE ICDM Research Award.
Jie Lu
University of Technology Sydney, Australia
Title: AI for Women’s Health: Framework and Focus Areas
Abstract:
AI for women’s health is a growing challenge that focuses on integrating and adopting AI across key aspects of women’s health, with the goal of practical implementation in everyday clinical practice. There have been significant delays in finding innovative ways to address prevalent and burdensome health issues that disproportionately affect women throughout their life courses. This study presents our initial development, including a comprehensive framework, methodology, and focus areas for the application of advanced AI, particularly machine learning, in women’s health. It emphasizes personalized healthcare for women through genomic association analysis and early-stage prediction for key women’s health issues, such as fertility, pregnancy, breast cancer, and postmenopausal concerns, in a genetics-informed and individually tailored manner. The research aims to provide societal benefits, improve the efficiency of women’s health systems, and advance personalized medicine.
Bio:
Distinguished Professor Jie Lu is a scientist in the field of computational intelligence, primarily known for her work in fuzzy transfer learning, concept drift, recommender systems, and decision support systems. She is an IEEE Fellow, IFSA Fellow, Australian Computer Society Fellow, and Australian Laureate Fellow. Professor Lu is the Director of the Australian Artificial Intelligence Institute (AAII) at University of Technology Sydney (UTS), Australia. She has published six research books and over 500 papers in leading journals and conferences; won 10 Australian Research Council (ARC) Discovery Projects and over 20 industry projects as leading chief investigator; and has supervised 50 PhD students to completion. Prof Lu serves as Editor-In-Chief for Knowledge-Based Systems and International Journal of Computational Intelligence Systems. She is a recognized keynote speaker, delivering over 40 keynote speeches at international conferences. She is the recipient of NeurIPS Outstanding Paper Award (2022), two IEEE Transactions on Fuzzy Systems Outstanding Paper Awards (2019 and 2022), Australasian Artificial Intelligence Distinguished Research Contribution Award (2022), Australian NSW Premier's Prize on Excellence in ICT (2023) and the Officer of the Order of Australia (AO) in the Australia Day 2023.