PROF Uwe Aickelin

PROF Uwe Aickelin

Positions

  • Artificial Intelligence, Modelling and Simulation (Artificial Intelligence, Modelling and Simulation)
  • Data Mining and Machine Learning (Data Mining and Machine Learning)
  • Decision Support and Optimisation (Decision Support and Optimisation)
  • Health Informatics (Health Informatics)
  • Robustness and Uncertainty (Robustness and Uncertainty)

Overview

OverviewText1

  • 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 for 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 Data Mining. His specific expertise is in the modelling stages of 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 9500, H-index 53 ) 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).

    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
       

Affiliation

Member of

  • Institute of Electrical and Electronics Engineers (IEEE). Member 2007 -
  • Engineering and Physical Science Research Council College. Member 2003 -
  • Higher Education Academy. Fellow 2002 -

Publications

Selected publications

Research

Additional Grant Information

  • 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 in the fields of Artificial Intelligence, Data Mining, Machine Learning and Decision Support.

    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).   

Awards

Education and training

  • PhD, University of Wales, Swansea 1999
  • EMBS (MSc), University of Wales, Swansea 1996
  • Dipl-Kfm (BSc Hons), University of Mannheim 1995

Awards and honors

  • Qianjiang Scholar (钱江学者), 2018
  • Visiting Professor at Shanghai Business School, 2016
  • Concurrent Professor at Fudan University, 2015
  • Special Professor at Shenzhen University, 2014
  • EPSRC Strategic Adviser on Artificial Intelligence, 2010
  • EPSRC Advanced Fellowship, 2007

Linkages

Supervision

Available for supervision

  • Y

Supervision Statement

  • I am looking for PhD students in the fields of Artificial Intelligence, Data Mining, Machine Learning and Optimisation with a focus on modelling robustness and uncertainty. I am particularly interested in Health informatics and Medical applications. 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.