Dr. Abdel Aziz Taha

Senior Researcher
Vienna University of Technology
Institute of Software Technology and Interactive Systems
Favoritenstrasse 9-11/188
A-1040 Vienna, Austria

Room:  HD 01 03
Phone: +43 1 58801-188318
Mobile: +43 676 351 352 1
Email: taha(at)ifs.tuwien.ac.at

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Team Member

Research Interests and background

Abdel Aziz Taha is a senior researcher and lecturer at the Vienna University of Technology, Institute of Software Technology and Interactive Systems since 2012. He conducts research in Machine Learning with focus on Big Data and data analysis in medical domain and automated industry. He is interested in axiometric and data analysis of complex data such as Big Data and extremely high dimensional data spaces. Abdel Aziz Taha received the B.Sc. degree in 2004, the M.Sc. degree in 2007, and the Ph.D. with distinction in 2015, all in computer science from TU Wien (Vienna University of Technology). His Ph.D. thesis has been nominated for of GI-Prize for best dissertation in 2015 (GI- Edition- Lecture Notes in Informatics (LNI), D-16, 289 - 298).
 

Experience

  • 2012 - current: Senior researcher and lecturer at the Vienna University of Technology
  • 2000 - 2012: Software engineering in various industrial projects
  • 1997 - 2000: Electrical engineer in automated industry

Publications

  • Message ranking in a factory setting using context and user preference. Conference: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, Pages 1--4(September 2017) PDF
     
  • Evaluation Metrics for Medical Organ Segmentation and Lesion Detection. Cloud-Based Benchmarking of Medical Image Analysis, Chapter 6, Springer, Pages 87--105 (May 2017) PDF
     
  • Abdel Aziz Taha. Metrik-Herausforderungen: Bias, Effizienz und Hubness. Lecture Notes in informatics D-16, GI Eddition Pages 289--298 (2016) PDF
     
  • Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. IEEE Transactions on Medical Imaging 35(11):2459 - 2475 (November 2016) PDF
     
  • Abdel Aziz Taha. Addressing metric challenges: Bias and Selection - Efficient Computation - Hubness Explanation and Estimation. (Ph.D. thesis), Vienna University of Technology, 2015.  PDF
     
  • Abdel Aziz Taha and Allan Hanbury. Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. BMC Medical Imaging, 15:29 (2015) PDF
     
  • Abdel Aziz Taha and Allan Hanbury. An Efficient Algorithm for Calculating the Exact Hausdorff Distance. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37 Pages 2153-2163 (2015) PDF
     
  • Abdel Aziz Taha, Allan Hanbury, and Oscar Jimenez del Toro. A formal method for selecting evaluation metrics for image segmentation. In 2014 IEEE International Conference on Image Processing (ICIP) (ICIP 2014), pages 932-936, Paris, France, 2014.  article,  poster
     
  • Orcun Goksel, Antonio Foncubierta-Rodriguez, Oscar Alfonso Jimenez del Toro, Henning Müller, Georg Langs, Marc Andre Weber, Bjoern Menze, Ivan Eggel, Katharina Gruenberg, Marianne Winterstein, Markus Holzer, Markus Krenn, Georgios Kontokotsios, Sokratis Met, Roger Schaer, Abdel Aziz Taha, Andras Jakab, Tomas Salas Fernandez, Allan Hanbury. Overview of the VISCERAL challenge at ISBI 2015. Proceedings of the {VISCERAL} Anatomy3 Organ Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015), Brooklyn, NY, USA, 6:11 (2015) PDF
     
  • Oscar Alfonso Jimenez del Toro, Orcun Goksel, Bjoern Menze, Henning Müller, Georg Langs, Marc Andre Weber, Ivan Eggel, Katharina Gruenberg, Markus Holzer, Andras Jakab, Georgios Kontokotsios, Markus Krenn, Tomas Salas Fernandez, Roger Schaer, Abdel Aziz Taha, Marianne Winterstein and Allan Hanbury. VISCERAL - VISual Concept Extraction Challenge in RAdioLogy: ISBI 2014 Challenge Organization. Proceedings of the VISCERAL Challenge at ISBI, 1194, page 6-15. 2014  PDF
     
  • Rudolf Mayer, Taha Abdel Aziz, und Andreas Rauber. Visualising Class Distribution on Self-Organising Maps. Proceedings of the International Conference on Artificial Neural Networks ICANN'07, Volume 4669 von LNCS, Seite 359--368. Porto, Portugal, Springer, (September 2007)  PDF
     
  • Abdel Aziz Taha. Coloring of the Self-Organising Maps based on class labels (Master thesis), Vienna University of Technology, 2006.  PDF