President Qin and Lingnan Fellow Prof Grossmann attend IEEE CASE 2026

Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science, and Prof Ignacio E. Grossmann, Lingnan Fellow at the Lingnan University Institute for Advanced Study, attend the IEEE CASE 2026. From left: Prof S. Joe Qin, Prof Ignacio E. Grossmann, and Prof Tang Lixin, Vice President of Northeastern University.

During the conference, President Qin describes Prof Grossmann’s academic background and considerable achievements.
Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science at Lingnan University, and Prof Ignacio E. Grossmann, Lingnan Fellow at the Lingnan University Institute for Advanced Study, and internationally recognised chemical engineering scholar, attended the 22nd IEEE International Conference on Automation Science and Engineering (IEEE CASE 2026), which opened on 18 August, in Shenyang, Liaoning Province. The conference, themed “Smart Industry”, brought together leading automation and robotics scholars and industry experts from around the world. President Qin described Prof Grossmann’s academic background and considerable achievements, and Prof Grossmann delivered a plenary speech, entitled “Challenges in the Application of Mathematical Programming Approaches to Industrial Enterprisewide Optimisation”, sharing the challenges of mathematical programming approaches to enterprise-wide optimisation, and the application of this research to industrial production planning, supply chains, and enterprise decision-making.
The two scholars representing Lingnan at the conference demonstrated the University’s close engagement with the international academic community in data science, artificial intelligence, and interdisciplinary research. This encourages the exchange of the latest research findings between researchers and industry practitioners, and facilitates discussions on developments in industrial optimisation, data science, and related technologies.

Prof Grossmann delivers a plenary speech entitled “Challenges in the Application of Mathematical Programming Approaches to Industrial Enterprise-wide Optimisation”.

