2 December 2021
The 3rd International Conference on Industrial Artificial Intelligence (IAI 2021) was held on November 8-11, 2021 in Shenyang, China. The conference brought together researchers and practitioners from all over the world to facilitate discussions on recent developments in the artificial intelligence driven modeling, control, and optimization of industrial processes. More than 400 overseas researchers from 19 countries and regions, including the United States, Britain, and Canada, as well as domestic researchers, scholars and graduate students, attended the conference. Out of 206 papers, two papers have been awarded the “Best Paper Award”. Professor S. Joe Qin and Assistant Professor Yining Dong from the School of Data Science have received the “Best Paper Award” for their paper on “Dynamically Embedded Latent Feature Analysis for Plant-Wide Troubleshooting”.
7 June 2021
Professor S. Joe QIN and Assistant Professor Yining DONG at the School of Data Science published the paper “A novel dynamic PCA algorithm for dynamic data modeling and process monitoring” in “Journal of Process Control” in 2018. Since publication, the paper has been ranked the most downloaded papers for the past 90 days, and the most cited paper for three consecutive years. In the paper, a novel dynamic PCA (DiPCA) algorithm is developed to extract explicitly a set of dynamic latent variables with descending order of predictability to capture the dynamic variations in high-dimensional time series data. In the past three years, the algorithm has been successfully applied for prediction, process monitoring and fault diagnosis in many real industrial applications.
24 May 2021
Research team of SDSC faculty members Prof S. Joe Qin, Prof Minghua Chen and postdoc Dr Yanfang Mo won the “Best Poster Award” in the 40th IEEE International Conference on Computer Communications (INFOCOM 2021). The title of the research is “Optimal Peak-Minimizing Online Algorithms for Large-Load Users with Energy Storage”.
For more information about the award, please visit https://infocom2021.ieee-infocom.org/awards
03 Mar 2021
We are delighted to announce that a cross-institutional team led by Professor Houmin Yan, Chair Professor of Management Sciences and Management Committee Member of the Hong Kong Institute for Data Science, has received over HK$4 million funding on the One-off Collaborative Research Fund Coronavirus Disease and Novel Infectious Disease Exercise project titled ‘Resilient PPE Supply Chains for Hong Kong Health Systems: Current and Post Covid-19 Pandemic’. The team is composed of experts across the fields of operations management, supply chain management, data science, medical informatics, and public health. Professor S. Joe Qin, Director of Centre for Systems Informatics Engineering, and Dr Qingpeng Zhang, Member of Centre for Systems Informatics Engineering, are contributing to the project as Co-Principal Investigators, and will lead sub-project teams to conduct research on PPE demand forecasting and predictive modeling for the control of various systems.
