Professor Aickelin (Head of School of Computing and Information Systems) focuses on Artificial Intelligence, Optimisation and Data Mining for medicine. Prior to Melbourne, he was Vice-President of the University of Nottingham Ningbo China and Head of School of Computer Science at the University of Nottingham.
He also served for many years as a strategic adviser for Artificial Intelligence to the UK Research Councils and Government. Here are his latest thoughts on AI and what it means for the workforce of the future.
His specific expertise is in the modelling stages of biomedical problems with a focus on robust methods to overcome uncertainty. Typical application areas of his work are Decision Support and Optimisation in Health Informatics. He has authored over 200 papers in leading international journals and conferences (Google citations 12000+, H-index 55+) and participated in over 100 international conference programme committees. Since 2007 he has been an associate editor of the leading international journal in his field (IEEE Transactions on Evolutionary Computation).
In 2004, Professor Aickelin won EPSRC's largest Adventure Grant (top 1% of national projects - EPSRC in the UK is equivalent to ARC in Australia). In 2007, he was awarded an Advanced EPSRC Fellowship ranking number 1 at the national panel (five-year Future Fellowship). In total, he has won over 10 million AUD of funding as Principal Investigator and over 40 million AUD as Co-Investigator in the fields of Artificial Intelligence, Data Mining, Machine Learning and Decision Support.
Uwe works closely with China, including as Visiting Professor at Shanghai Business School, Distinguished Professor at Shanghai Academy, Concurrent Professor at Fudan University and Special Professor at Shenzhen University. In 2018 he was awarded the prestigious title of Qianjiang Scholar (钱江学者). He has received the 2019 LinkedIn Spotlight award – for one of Australia’s 12 most influential profiles and his YouTube videos have been watched by more than 600,000 people:
Anti-Learning - So bad it’s good
How GCHQ classifies computer security
Machine Learning Methods
Nuggets of Data Gold
The Known Unknowns
Why missing data is the best
Artificial Intelligence - the code for consciousness
Find out more about Uwe Aickelin's experience
Uwe Aickelin's highlights
FEATURED Journal article
Multicriteria group decision-making under uncertainty using interval data and cloud models
Read moreUwe Aickelin's selected work
ARC Training Centre In Optimisation Technologies, Integrated Methodologies, And Applicatio..
Research Grant
Ever wondered what your pet is thinking?
NEWS ARTICLE
Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision m..
Journal article
Should we work with or turn off AI?
NEWS ARTICLE
Information-theoretic analysis for transfer learning
Conference Proceedings
IMPROVING ACCURACY OF RECORD LINKAGE USING GRAPH STRUCTURES: RELEVANCE FOR HEALTH OUTCOMES..
Conference Proceedings
Uwe Aickelin's selected work
Projects
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Scholarly Works
Displaying the 264 most recent scholarly works by Uwe Aickelin.
News
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Honours, Awards and Fellowships
Qianjiang Scholar (钱江学者)
EPSRC Advanced Fellowship
Credentials
Positions
Positions
Member
Institute of Electrical and Electronics Engineers (IEEE)
Member
Engineering and Physical Science Research Council College
Fellow
Higher Education Academy
Education
Education
PhD Computer Science
University of Wales, Swansea
European Masters of Business Science
University of Wales, Swansea
Management Science (Diplom-Kaufmann Betriebswirtschaftslehre)
University of Mannheim