Invited Talks and Seminars

  • Adventures in Random Forests: Techniques for Engineering Accurate Ensembles, UK Symposium on Knowledge Discovery and Data Mining 2017, 8 May 2017. [Slides] 
  • Mobile Data Stream Mining (Foundations), Big Data meets Machine Learning 2015 Summer Training Workshop in Wroclaw, Poland [delivered via video conference], 21 May, 2015.  [Slides]
  • Mobile Data Stream Mining (Advances), Big Data meets Machine Learning 2015 Summer Training Workshop in Wroclaw, Poland [delivered via video conference], 21 May, 2015. [Slides] 
  • Unsupervised Learning Techniques to Diversifying and Pruning Random Forests, RWTH Aachen University, Aachen, Germany, 27 January, 2015. [Slides]
  • Pocket Data Mining: The Next Generation in Predictive Analytics, Predictive Analytics Innovation Summit, London, UK, 19 April, 2012. [Slides]
  • Pocket Data Mining: Mobile Cloud Computing for Ad-Hoc Intelligent Data Analysis, STEM-UEN & Microsoft Advanced Technology Workshop: Cloud Computing enabling Innovation, Kingston, UK, 1 November, 2011.
  • Pocket Data Mining: a Smartphone based Approach to Real-Time Analysis of Evidence in Crime Investigations, Operations Research Society, Special Interest Group in Criminal Justice, Birmingham, UK, 17 May, 2011
  • Data Stream Mining for Mobile and Embedded Applications, Nile University, November 2009, Cairo, Egypt 
  • Data Mining in Resource-constrained Environments, Aston University, Birmingham, UK, 30 June, 2009.
  • Mobile Data Mining for Medical Applications, Nile University, Cairo, Egypt, 21 December, 2008
  • Data Stream Mining Techniques for Mobile and Embedded Devices, Cairo International Biomedical Engineering Conference (CIBEC'08), Cairo, Egypt, 20 December, 2008
  • Adaptation and Resource-awareness in Data Stream Processing, University of Waikato, 2 April, 2008
  • Resource Adaptive Data Stream Processing, Faculty of Computers and Information, Cairo University, Cairo, Egypt, 15 December, 2007
  • Data Stream Processing in Resource-constrained Environments, at University of Sydney, Sydney, Australia, May 2006.
  • Data Stream Mining: Techniques and Applications, at IBM, Melbourne, Australia, October 2005.