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Distinguished Professor Jie Lu is an internationally renowned scientist in the area of computational intelligence, who has made fundamental and influential contributions, particularly in fuzzy transfer learning, concept drift, data-driven decision support systems, and recommender systems. Her research has huge positive implications and significant impact on her research community and for society and economics.
An IEEE Fellow, IFSA Fellow and ARC Laureate Fellow (the first for UTS), Jie has published six research books and more than 450 papers in leading journals and conferences, has won 10 ARC Discovery projects and led 15 industry projects. She has supervised 45 PhD students to completion.
As the Director of the Australian Artificial Intelligence Institute at UTS, the largest AI centre in Australia, Jie works at the frontier of the information age. Her research is helping shape the way organisations use data to make decisions in complex and uncertain situations.
Jie, who is also Associate Dean (Research Excellence) in the Faculty of Engineering and Information Technology at UTS, has driven the faculty’s culture of research excellence and impact.
Effective prediction and decision making deliver direct benefits to industry and the community by increasing economic activity and helping organisations to manage risk. Jie has applied her expertise and theoretical innovation in this field in industry collaborations across a wide range of sectors, including transportation, telecommunications, health care and education.
Her projects include partnerships with Optus, Sydney Trains, Domain Holdings, Australia Ltd, Workforce Health Assessors and 23Strands, developing and implementing intelligent recommender systems and data-driven decision support systems.
She received the UTS Vice-Chancellor's Research Medal for Research and Teaching Integration (2010), the UTS Chancellor's Research Medal for Research Excellence (2019), the Computer Journal Wilkes Award (2018), the IEEE Transactions on Fuzzy Systems Outstanding Paper award (2019), the Australian Most Innovative Engineer award (2019) and other national and international awards.
She regularly delivers keynote speeches at international conferences. She is Chair of IEEE CIS Emerging Technologies Technical Committee, and serves as Editor-In-Chief for leading journal, Knowledge-Based Systems (Elsevier).
Jie is also developing a UTS Research Excellence Framework that will further cement UTS’s reputation as a leader in national and international research communities.
An IEEE Fellow, IFSA Fellow and ARC Laureate Fellow (the first for UTS), Jie has published six research books and more than 450 papers in leading journals and conferences, has won 10 ARC Discovery projects and led 15 industry projects. She has supervised 45 PhD students to completion.
As the Director of the Australian Artificial Intelligence Institute at UTS, the largest AI centre in Australia, Jie works at the frontier of the information age. Her research is helping shape the way organisations use data to make decisions in complex and uncertain situations.
Jie, who is also Associate Dean (Research Excellence) in the Faculty of Engineering and Information Technology at UTS, has driven the faculty’s culture of research excellence and impact.
Effective prediction and decision making deliver direct benefits to industry and the community by increasing economic activity and helping organisations to manage risk. Jie has applied her expertise and theoretical innovation in this field in industry collaborations across a wide range of sectors, including transportation, telecommunications, health care and education.
Her projects include partnerships with Optus, Sydney Trains, Domain Holdings, Australia Ltd, Workforce Health Assessors and 23Strands, developing and implementing intelligent recommender systems and data-driven decision support systems.
She received the UTS Vice-Chancellor's Research Medal for Research and Teaching Integration (2010), the UTS Chancellor's Research Medal for Research Excellence (2019), the Computer Journal Wilkes Award (2018), the IEEE Transactions on Fuzzy Systems Outstanding Paper award (2019), the Australian Most Innovative Engineer award (2019) and other national and international awards.
She regularly delivers keynote speeches at international conferences. She is Chair of IEEE CIS Emerging Technologies Technical Committee, and serves as Editor-In-Chief for leading journal, Knowledge-Based Systems (Elsevier).
Jie is also developing a UTS Research Excellence Framework that will further cement UTS’s reputation as a leader in national and international research communities.
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Neurocomputing (2023): 94-105
International Conference on Complex Information Systems (COMPLEXIS) (2022)
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2022 7th IEEE International Conference on Data Science in Cyberspace (DSC)pp.526-532, (2022)
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