Professor Yan Li
Name | Yan Li |
---|---|
Position | Professor (Computing) |
Section | School of Mathematics, Physics and Computing |
Office | D221 |
Location | Toowoomba Campus |
Phone | +61 7 4631 5533 |
Extension | 5533 |
Qualifications | BEng HUST , MEng HUST , PhD Flinders |
Homepage |
https://research.usq.edu.au/researcher/80x41/prof-yan-li The views expressed on staff homepages may not reflect the views of the University. |
Prof Yan Li received her PhD degree from the Flinders University of South Australia, Australia. She is a full Professor in Artificial Intelligence (AI) in Computer Science discipline, the Associate Head (Research) and the Chair of Research Committee in the School of Mathematics, Physics and Computing at the University of Southern Queensland (USQ), Australia. Her research interests lie in the areas of AI, Machine Learning, Big Data and Internet Technologies, Security, Signal/Image Processing and EEG Research, etc. Prof Yan Li has published 200+ high quality publications, supervised dozens of PhD completions, and obtained more than $3 million research grants from Australia government, industry and through international collaborations.
Prof Yan Li is the leader of USQ AI Research and the recipient of many research and teaching excellence awards, including 2012 Australia prestigious National Learning and Teaching Citation Award, 2008 Queensland Government Smart State-Smart Women Award, 2009 USQ Teaching Excellence Award, 2009 USQ Research Excellence Award, 2015-2018 Research Publication Excellence Awards, and 2021 HES Faculty Research Award. Prof Yan Li has served as an elected academic leader in many high-level university committees, such as USQ Academic Board Executive Committee and USQ Research Committee etc.
Prof Yan Li is a current member in Australian Research Council College of Experts .
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Image Processing
( 460306)
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Signal Processing
( 400607)
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Machine Learning
( 461100)
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Semi- And Unsupervised Learning
( 461106)
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Deep Learning
( 461103)
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Data Engineering And Data Science
( 460501)
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Computer Vision And Multimedia Computation
( 460300)
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Data Management And Data Science
( 460500)
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Communications Engineering
( 400600)
Artificial Intelligence and Machine Learning Algorithms, Big Data Analytics, Modelling and Simulation, Signal Processing, Image Processing, EEG Research, Cybersecurity, and Networking Technologies.
Prof Yan Li has recently received significant industry research funds to refine her new cutting-edge technologies for identifying sleep patterns and stages for the diagnoses and treatment of sleep disorders, and for developing a better depth of anaesthesia monitoring device.
The projects require expertise from multi-disciplinary areas of artificial intelligence, brain modelling, signal processing, and big data analytics. Her main goal is to transfer the knowledge to benefit business and industry.
CSC8003 Machine Learning
CSC8002 Big Data Management
CSC3407 Network Fundamentals and Routing
CSC3427 Switching, Wireless and WAN Technologies
CSC2407 Introduction to Software Engineering
Master of Science Research Projects
• Associate Head (Research)
• USQ Cisco Networking Academy Founder and Leader
• Applied Data Science Program Leader
• Master of Science (Research) Program Leader
A core member of the following committees:
• Chair, School Research Committee
• School Executive Committee
• USQ Science Advisory Committee
• USQ Academic Board
• USQ Research and Research Training Committee
• USQ Research Committee
• USQ Academic Board Executive Committee
-
Image Processing
( 460306)
-
Signal Processing
( 400607)
-
Machine Learning
( 461100)
-
Semi- And Unsupervised Learning
( 461106)
-
Deep Learning
( 461103)
-
Data Engineering And Data Science
( 460501)
-
Computer Vision And Multimedia Computation
( 460300)
-
Data Management And Data Science
( 460500)
-
Communications Engineering
( 400600)
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Analysing Multi-variable Signals Using Wavelet Based Independent Component Analysis
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Auto-Reconstruction of Realistic Head Modelling of EEG
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Development of Depth of Anaesthesia Monitoring Techniques
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EEG Based Brain Activity Decoding For Clinical Instrumentation and Neurological Disorder Early Detection
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EEG Based Brain Activity Decoding For Clinical Instrumentation and Neurological Disorder Early Detection
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Fuzzy-Neural Network Based Flow Prediction and Optimized Operation For River Murray System
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Detection and Prediction of Abnormalities for Diagnosis of Brain Diseases from Brain Signal Data