Keynote Speakers

This presentation introduces some impact of big data and machine learning across crucial industries such as manufacturing, semiconductor, transportation, finance, and aerospace.

Beginning with manufacturing and aerospace, experience firsthand how AI-driven time series analytics emerge as transformative tools, enabling predictive maintenance and condition monitoring. Discover how these advancements optimize operations, minimize downtime, and elevate productivity to unprecedented levels. Moving on to semiconductor applications, witness how AI becomes indispensable in optimizing Design of Experiments (DOE) and detecting defects in 3D structures. Uncover how these applications uphold the high standards of product quality and reliability, driving innovation and competitiveness to new heights. In transportation, a new era unfolds with AI’s intervention, where predictive modeling and real-time analytics revolutionize safety and efficiency. Explore the interesting mechanisms behind smart traffic light management systems ensuring seamless traffic flow and alleviating congestion. In finance, witness a paradigm shift as AI-driven HR analytics redefine talent management, empowering proactive strategies to retain top talent. Explore predictive models that forecast employee attrition, enabling organizations to cultivate a stable and motivated workforce.

Embark on a journey to uncover how AI and data science are reshaping industries, igniting innovation, and paving the way for real-world transformation.

Bio

Xiaoli currently leads the Machine Intellection department, comprising over 100 AI and data scientists, making it the largest AI and data science group in Singapore, alongside serving as a senior principal scientist at the Institute for Infocomm Research, A*STAR. Additionally, he holds a professor position at Nanyang Technological University. Xiaoli’s extensive leadership extends to joint lab director roles for major companies like DBS Bank and KPMG. Since 2020, he has contributed to key governmental initiatives as a member of the Information Technology Standards Committee (ITSC) at ESG Singapore and the Infocomm Media Development Authority (IMDA). Moreover, Xiaoli serves as a health innovation expert panel member for the Ministry of Health (MOH), an expert panel member for the Ministry of Education (MOE), and an AI advisor for the Smart Nation and Digital Government Office (SNDGO) at the Prime Minister’s Office, showcasing his pivotal involvement in both government and industry sectors.

With a broad spectrum of research interests, Xiaoli focuses on cutting-edge domains such as AI, data mining, machine learning, and bioinformatics. His significant contributions are reflected in his extensive publication portfolio, comprising over 350 peer-reviewed papers and earning him numerous accolades, including over ten best paper awards. As Editor-in-chief of the Annual Review of Artificial Intelligence and an Associate Editor for esteemed journals like IEEE Transactions on Artificial Intelligence and Knowledge and Information Systems, Xiaoli plays a crucial role in shaping academic discourse. Additionally, he chairs conferences and serves as an area chair for leading AI, machine learning, and data science conferences such as AAAI, IJCAI, ICLR, NeurIPS, KDD, and ICDM.

Beyond academia, Xiaoli leverages his wealth of experience to drive impactful R&D projects, having successfully led over 10 initiatives in collaboration with prominent industry players across sectors such as aerospace, telecom, insurance, and professional services. Recognized as an IEEE Fellow and a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), Xiaoli’s expertise is acknowledged globally. Stanford University has identified him as one of the top 2% scientists in the AI domain, while Research.com ranks him among the top computer scientists worldwide.