Zu Chongzhi Mathematics Research Seminar

Date and Time (China standard time): Thursday, September 19, 11:30 am – 12:30 pm

Location: WDR 1007

Zoom: 958 5104 7330, Passcode: dkumath

Title: How to Build the Bridge between Mathematics and Data Science to Promote Deep Innovation?

Speaker: Jun Xu

Abstract: The digital economy is leading a new round of technological revolution and industrial transformation, with new technologies such as artificial intelligence developing rapidly and continuously achieving new breakthroughs. The new computing industry, with data, algorithms, computing power, and intelligence as its core elements, is of critical importance in driving national economic and social development. Among them, problem-driven mathematical and data modeling, and computation are key to companies implementing their independent innovation development strategies to improve deep innovation capabilities and competitiveness. At present, the value chain ecosystem for data science and mathematics to promote enterprise innovation is far from formed; enterprises urgently need a large number of new employees, applied researchers, or mathematicians with interdisciplinary professional knowledge and deep modeling computational abilities to help them identify, organize, abstract, and solve core and key problems. This report will focus on how to leverage the role of mathematics and data science in promoting enterprise innovation; how to promote the integration of mathematics and data science with engineering applications and industrialization; how to cultivate interdisciplinary and innovative talents with a solid foundation in mathematics and data science, combined with specific cases and ongoing research projects, to share the exploration, practice, and thoughts conducted by the team.

Bio: Xu Jun, Ph.D., researcher at the School of Mathematics at Hunan University; distinguished researcher at several domestic innovative research institutions; initiator of the Roth Deep Innovation Alliance and Roth Innovation Research Institute (Hong Kong); member of the Mathematics and Industry Committee of the China Society for Industrial and Applied Mathematics. In 2003, he was employed by the University of Hong Kong as part of the first batch of the “Importing Talents to Mainland from Hong Kong” program; he has held positions in many universities in Hong Kong, serving as technical director, senior manager, chief project researcher, research director, postdoctoral researcher, and associate researcher; he has led or participated in over 30 various innovative R&D projects, including the Hong Kong Research Grants Council’s Areas of Excellent Research Fund projects, collaborative research funds, and technology innovation fund projects. He received his Ph.D. in computational mathematics from Peking University in 1998; he has been a senior software engineer and system architect for well-known domestic IT companies; the products and systems he developed have been widely used both in China and internationally. Dr. Xu’s current research areas include but are not limited to: data science, industrial and applied mathematics, digital twins, smart cities, and mathematical models promoting deep innovation in enterprises.