PhD Students

Interested in joining the team?

Active PhD projects:
  • Osama Assaf (Deep Learning for Financial Market Prediction and Risk Management)
  • Ali Varzandian (Classification of Alzheimer's Disease MRI Data)
  • Shivshankar Aiwale (Mining Events in Network Data Streams)
  • Salwa Abdelrahim Musa (Mining Events in Big Social Data - Twitter)
Completed PhD projects:
  • Baudouin Raoult (Fast retrieval of weather analogues in a multi-petabyte meteorological archive - ECMWF)
  • Mosab M Ayiad (Asynchronous Epidemic Algorithms)
  • Anas Mohammed Al-Dabbagh (Distributed p-Median Problem in Networks)
  • Sami Al Ghamdi (Big Data Clustering)
  • Alexander Luke Spedding (Classification of Alzheimer's Disease MRI Data)
  • Amogh Katti (Epidemic Failure Detection and Consensus in Parallel Computing)
  • Pasu Poonpakdee (Epidemic Membership Protocols)
  • Dr. Alex Allan (Locality Awareness in Networks)
  • Dr. David Pettinger, PhD programme completed (Scalable Clustering)
Visiting scholars:
  • Sept.2013-July 2014: Alessia Sarica, Magna Graecia Univ. of Catanzaro, Italy, (Mining Brain MRI Data)

Professor Giuseppe Di Fatta

Computer Science | Data Science | Data Mining | Machine Learning

Further info:


Short Biography

Prof. Di Fatta received the "Laurea" degree (MEng) in Electronic Engineering and the PhD degree in Electronic, Computer and Telecommunications Engineering, from the University of Palermo, Italy.

  • 1996-1998: Research Assistant, Research Center on Computer Networks, Italian National Research Council (CERE-CNR), Palermo, Italy
  • 1998 (Aug.-Nov.): Research Assistant, Institute for Computer Communications and Applications, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland.
  • 1998-99: Research Fellow, International Computer Science Institute (ICSI), University of California, Berkeley, USA
  • 2000-04: Research Fellow/Lecturer, High Performance Computing and Networking Institute of the Italian National Research Council (ICAR-CNR), Palermo, Italy
  • 2004-06: PostDoc/Lecturer, Bioinformatics and Information Mining Group, Department of Computer and Information Science, University of Konstanz, Germany
  • 2006-: Lecturer/Associate Professor/Professor, University of Reading, UK
  • Since April 2016: Head of Department, Department of Computer Science, University of Reading, UK


Research Interests

  • Data Mining and Machine Learning algorithms (e.g., Clustering, Classification, Deep Learning, Multidimensional Scaling, Bayesian Inference)
  • Parallel and Distributed Computing, Big Data Analytics and Mining
  • Data Science and Machine Learning platforms: see the KNIME Certification Program in Data Science
  • Multidisciplinary applications of Data Mining algorithms (e.g., in Neuroscience, Climate Science, Chemo/Bioinformatics), such as Classification of Alzheimer's Disease MRI Data




Other Professional Activities