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Austria

Biography

Abdel Aziz Taha is a senior researcher at the Data Science Studio. He received his PhD in Data Science (with distinction) from the Vienna University of Technology (TU Vienna) in 2015 and was nominated for the GI (Gesellschaft für Informatik) award for the best dissertation 2015 https://dl.gi.de/handle/20.500.12116/4410. The dissertation of Abdel Aziz Taha offers solutions for problems in the analysis of large data under extreme conditions, such as handling metric distortions and enabling highly efficient computation of complex data as well as data with very high dimensionalities . Within the framework of the Research Studio Austria, Abdel Aziz Taha has been involved in research and development projects in the field of machine learning, including genomics, medical diagnostics, fraud detection, industrial automation, anomaly detection and prediction, and large data marketing.

His experience in data analysis covers all areas, from problem analysis in companies, to data selection, reprocessing and aggregation, to modelling, reconciliation and evaluation, as well as interpretation and drawing conclusions for decisions at the company level. In addition to his teaching activities, Abdel Aziz Taha gained 12 years of professional experience in software engineering, ranging from low-level, embedded and real-time systems to application software, covering the entire software development life cycle in the private sector.

Activities

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Employment (5)

Research Studios Austria: Vienna, AT

2017-11 to present | Senior Researcher (Data Science)
Employment
Source: Self-asserted source
Abdel Aziz Taha

Vienna University of Technology: Vienna, AT

2012 to present | Senior Researcher (Software Technology and Interactive Systems)
Employment
Source: Self-asserted source
Abdel Aziz Taha

Lechner ZT GmbH: Vienna, AT

2003 to present | Senior Software Engineer
Employment
Source: Self-asserted source
Abdel Aziz Taha

Siemens PSE: Vienna, AT

2000-10-01 to 2002-03-31 | Software Developer
Employment
Source: Self-asserted source
Abdel Aziz Taha

Phillips: Vienna, AT

1996-01-01 to 1999-04-30 | Electrical Engineer
Employment
Source: Self-asserted source
Abdel Aziz Taha

Education and qualifications (3)

Vienna University of Technology: Vienna, AT

2012 to 2015 | PhD in Computer Science (Software Technology and Interactive Systems)
Education
Source: Self-asserted source
Abdel Aziz Taha

Vienna University of Technology: Vienna, AT

2006 to 2007 | Master in Computer Sience (Software Technology and Interactive Systems)
Education
Source: Self-asserted source
Abdel Aziz Taha

Vienna University of Technology: Vienna, AT

2002 to 2005 | Bachelor's degree of Computer Science (Institute of Computer Engineering)
Education
Source: Self-asserted source
Abdel Aziz Taha

Works (17)

Formal Analysis and Estimation of Chance in Datasets Based on Their Properties

IEEE Transactions on Knowledge and Data Engineering
2022-12-01 | Journal article
DOI: 10.1109/TKDE.2021.3068009
Contributors: Abdel Aziz Taha; Luca Papariello; Alexandros Bampoulidis; Petr Knoth; Mihai Lupu
Source: check_circle
Crossref

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation In Patients with Cerebrovascular Disease

medRxiv
2020 | Journal article
DOI: 10.1101/2020.04.08.20057570
Source: Self-asserted source
Abdel Aziz Taha
grade
Preferred source (of 2)‎

A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease

Frontiers in Neuroscience
2019 | Journal article
DOI: 10.3389/fnins.2019.00097
Source: Self-asserted source
Abdel Aziz Taha

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

CoRR
2018 | Journal article
URI:

http://arxiv.org/abs/1806.02051
Source: Self-asserted source
Abdel Aziz Taha

Why rankings of biomedical image analysis competitions should be interpreted with care

Nature Communications
2018-12 | Journal article
DOI: 10.1038/s41467-018-07619-7
Source: Self-asserted source
Abdel Aziz Taha

Evaluation Metrics for Medical Organ Segmentation and Lesion Detection

Cloud-Based Benchmarking of Medical Image Analysis
2017 | Book chapter
DOI: 10.1007/978-3-319-49644-3_6
Part of ISBN: 978-3-319-49644-3
Source: Self-asserted source
Abdel Aziz Taha

Message ranking in a factory setting using context and user preference

22nd IEEE International Conference on Emerging Technologies and Factory Automation
2017 | Conference paper
DOI: 10.1109/ETFA.2017.8247708
Source: Self-asserted source
Abdel Aziz Taha
grade
Preferred source (of 2)‎

Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.

IEEE Trans. Med. Imaging
2016 | Journal article
Source: Self-asserted source
Abdel Aziz Taha

Addressing metric challenges: Bias and Selection - Efficient Computation - Hubness Explanation and Estimation

2015 | Dissertation or Thesis
Source: Self-asserted source
Abdel Aziz Taha

An Efficient Algorithm for Calculating the Exact Hausdorff Distance

Pattern Analysis and Machine Intelligence, IEEE Transactions on
2015 | Journal article
DOI: 10.1109/TPAMI.2015.2408351
Source: Self-asserted source
Abdel Aziz Taha

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

BMC Medical Imaging
2015 | Journal article
DOI: 10.1186/s12880-015-0068-x
Source: Self-asserted source
Abdel Aziz Taha

VISCERAL-VISual concept extraction challenge in radiology : Organsegmentierung : Übersicht, Einblicke und erste Ergebnisse

Proceedings Deutscher Röntgenkongress (DRK) 2015; 187 - WISS101_5
2015 | Journal article
DOI: 10.1055/s-0035-1550783
Source: Self-asserted source
Abdel Aziz Taha

VISCERAL-VISual Concept Extraction challenge in Radiology: Segmentation challenge: overview, insights and preliminary results

European Congress of Radiology (ECR) 2015
2015 | Conference paper
Source: Self-asserted source
Abdel Aziz Taha

Overview of the VISCERAL Challenge at ISBI 2015

Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE International Symposium on Biomedical Imaging (ISBI)
2015-05 | Conference paper
Source: Self-asserted source
Abdel Aziz Taha

A formal method for selecting evaluation metrics for image segmentation

Image Processing (ICIP), 2014 IEEE International Conference on
2014 | Conference paper
DOI: 10.1109/ICIP.2014.7025187
Source: Self-asserted source
Abdel Aziz Taha

VISCERAL - VISual Concept Extraction Challenge in RAdioLogy: ISBI 2014 Challenge Organization

Proceedings of the VISCERAL Challenge at ISBI
2014 | Conference paper
Source: Self-asserted source
Abdel Aziz Taha

The EvaluateSegmentation Tool: An efficient tool for evaluating 3D medical segmentation using 20 evaluation metrics.

2013 | Software
URI:

https://github.com/Visceral-Project/EvaluateSegmentation
Source: Self-asserted source
Abdel Aziz Taha
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