Fellowship for leading AI researcher
One of Australia’s leading artificial intelligence (AI) scientists, UTS Distinguished Professor Jie Lu, has been awarded a prestigious fellowship to tackle cutting-edge problems in data-driven decision-making.
The Australian Research Council acknowledged Professor Lu’s outstanding research enhancing data-driven decision intelligence with an Australian Laureate Fellowship, announced yesterday by Minister for Education Dan Tehan.
The Australian Laureate Fellowship scheme recognises outstanding researchers and leaders of an international calibre, in ground breaking research areas. This is the first time a UTS researcher has received the accolade.
Professsor Jie Lu is presented with Laureate certificate by UTS Vice-Chancellor Attila Brungs and Deputy Vice-Chancellor (Research) Kate McGrath.
“My research develops machine learning-based prediction and decision support algorithms that help overcome uncertain or dynamically changing data problems,” said Professor Lu.
“Our work in ‘fuzzy’ machine learning significantly contributed to computational intelligence and machine learning and has been applied in industries such as telecommunications, real estate and healthcare.
“This fellowship will help me and my team to develop autonomous machine learning for data-driven decision-making – that innovatively and effectively learns from big data to support decisions in massive, uncertain and dynamic situations,” she said.
This fellowship will help me and my team to develop autonomous machine learning for data-driven decision-making
Distinguished Professor Jie Lu
Professor Lu is an internationally renowned scientist in computational intelligence, with particular expertise in fuzzy transfer learning, concept drift, decision support systems, and recommender systems.
She is the Director of the Centre for Artificial Intelligence, which has approximately 200 staff and students working on over 50 research projects, and the Associate Dean (Research Excellence) in the UTS Faculty of Engineering and Information Technology.
The Australian Laureate Fellowship provides Professor Lu’s and her team with almost $3.3 million over five years for additional research staff and project funding.