Professor Uwe Aickelin is the Head of School of Computing and Information Systems at the University of Melbourne. Prior to this role he was Vice-President at 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 on Artificial Intelligence to the UK Research Councils and Government.
Professor Aickelin has worked for more than twenty years in the fields of Artificial Intelligence, Optimisation and Datamining. His specific expertise is in the modelling stages of problems with a focus on robust methods to overcome uncertainty. He has authored over 200 papers in leading international journals and conferences (Google citations 9000, H-index 50
) 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 EPSRC funding as Principal Investigator and over 40 million AUD as Co -Investigator.
Uwe has worked closely with China for many years, including being appointed as Visiting Professor at Shanghai Business School, Concurrent Professor at Fudan University and the award of a Special Professorship at Shenzhen University. In 2018 he was awarded the prestigious title of Qianjiang Scholar (钱江学者).
Education and training
University of Wales, Swansea 1999
University of Wales, Swansea 1996
Dipl-Kfm (BSc Hons),
University of Mannheim 1995
Awards and honors
Qianjiang Scholar (钱江学者),
Visiting Professor at Shanghai Business School,
Concurrent Professor at Fudan University,
Special Professor at Shenzhen University,
EPSRC Strategic Adviser on Artificial Intelligence,
I am looking for PhD students in the fields of Artificial Intelligence, Optimisation and Datamining, with a particular focus on modelling aspects. Scholarships are available for suitably qualified candidates (i.e. the top 5% of their graduating cohort, or with an overall result in the top echelon for their degree. e.g. H1 (80-100%), High Distinction, A, 3.5 out of 4 GPA etc) - if you are interested please email me a CV and full transcripts of previous degrees.