|Newton 203, School of Computing, Science and Engineering, University of Salford, Manchester, M5 4WT.|
|0161 295 6329|
Dr Li has left for Cardiff University.
Dr Li's research experience includes:
• Machine learning, pattern recognition, neural networks
• Data/text mining, signal processing
• Anomaly/novelty detection, pattern selection, feature selection
• Data science, Big Data, predictive analytics
• Intelligent condition monitoring, predictive maintenance
• Semantic similarity analysis, conversational agents
Dr Li has conducted theoretical and applied research in machine learning, pattern recognition, data science, semantic similarity analysis and condition monitoring. His top cited research paper has been cited over 1100 times. His expertise in machine learning and pattern recognition includes statistical and geometrical methods and neural networks for feature/pattern selection and data analysis, knowledge discovery and inference. Most notably his contributions to machine learning and pattern recognition include the development of anomaly/novelty detection methods for safety-critical systems on which there is limited or no knowledge, and the study of informative observation selection techniques for sensors/measurements location optimization for problems such as effective monitoring and process control. His work in semantic similarity analysis is among the top cited publications in this area and has been adopted in real systems. He has led and carried out research projects funded by government and industry. He has obtained extensive experience in working with different sizes of national and international companies. His research has been applied to solve problems in digital manufacturing, plant monitoring, financial engineering, etc. He has been invited to give talks at universities and international conferences. He has served as a committee member for many international conferences.
Dr Li's Publications in university repository