MESC Labs MESC LabsFounder profile

Scientist · Educator · Founder

Waleed A. Yousef, Ph.D.

Building rigorous statistical learning systems—and translating scientific depth into tools, education, and practical impact.

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Portrait of Waleed A. Yousef
CEO & Chief Scientist MESC Labs · Canada
MESC Labs University of Victoria Capital University IEEE Senior Member

Current roles

Scientific leadership across research, education, and application.

01

MESC Labs · Canada

CEO, chief scientist, and founder

Leading research and development in statistical learning, artificial intelligence, medical imaging, and data visualization.

02

ECE · University of Victoria

Adjunct professor

Contributing to academic work in electrical and computer engineering at the University of Victoria.

03

ISOT Lab · University of Victoria

Senior scientist

Advancing research in statistical learning, cybersecurity, classifier assessment, and trustworthy intelligent systems.

04

Capital University · Egypt

Professor

Continuing a long academic career spanning teaching, research, and scientific mentorship.

Research interests

Methods that make intelligent systems measurable and trustworthy.

My work connects statistical learning theory with the practical assessment of classifiers, visualization systems, and data-driven decision tools.

Statistical learning Classifier assessment Machine learning Medical imaging Cybersecurity Data visualization Pattern recognition Artificial intelligence

Publications & research outputs

A publication record grounded in assessment, learning, and application.

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IEEE TIFS · 2024

Federated supervised principal component analysis

Published in IEEE Transactions on Information Forensics and Security.

W. Briguglio, W. A. Yousef, I. Traore & M. Mamun

IEEE TDSC · 2023

Classifier Calibration

With application to threat scores in cybersecurity.

W. A. Yousef, I. Traore & W. Briguglio

Nature Biotechnology · 2010

The MAQC-II study

Common practices for developing and validating microarray-based predictive models.

L. Shi et al. · MAQC-II Consortium

Journal articles17 articles
  1. Briguglio, W., Yousef, W. A., Traore, I., & Mamun, M. (2024). “Federated Supervised Principal Component Analysis,” 19, 646–660. IEEE Transactions on Information Forensics and Security.
  2. Yousef, W. A., Traore, I., & Briguglio, W. (2023). “Classifier Calibration: With Application to Threat Scores in Cybersecurity,” 20(3), 1994–2010. IEEE Transactions on Dependable and Secure Computing.
  3. Yousef, W. A., Traore, I., & Briguglio, W. (2021). “UN-AVOIDS: unsupervised and nonparametric approach for visualizing outliers and invariant detection scoring,” 16, 5195–5210. IEEE Transactions on Information Forensics and Security.
  4. Briguglio, W., Moghaddam, P., Yousef, W. A., Traore, I., & Mamun, M. (2021). “Machine Learning in Precision Medicine to Preserve Privacy via Encryption,” 151, 148–154. Pattern Recognition Letters.
  5. Yousef, W. A. (2021). “Estimating the Standard Error of Cross-Validation-Based Estimators of Classifier Performance,” 146, 115–145. Pattern Recognition Letters.
  6. Yousef, W. A. (2020). “Prudence when assuming normality: an advice for machine learning practitioners,” 138, 44–50. Pattern Recognition Letters.
  7. Mousa, W. A. Y., Lang, W., & Yousef, W. A. (2017). “A pattern recognition approach for modeling the air change rates in naturally ventilated buildings from limited steady-state CFD simulations,” 155, 54–65. Energy and Buildings.
  8. Mousa, W. A. Y., Lang, W., & Yousef, W. A. (2017). “Simulations and quantitative data analytic interpretations of indoor-outdoor temperatures in a high thermal mass structure,” 12, 68–76. Journal of Building Engineering.
  9. Yousef, W. A., & Kundu, S. (2014). “Learning algorithms may perform worse with increasing training set size: Algorithm-data incompatibility,” 74, 181–197. Computational Statistics & Data Analysis.
  10. Abdel Razek, N. M., Yousef, W. A., & Mustafa, W. A. (2013). “Microcalcification detection with and without CAD system (LIBCAD): A comparative study,” 44(2), 397–404. The Egyptian Journal of Radiology and Nuclear Medicine.
  11. Yousef, W. A. (2013). “Assessing classifiers in terms of the partial area under the ROC curve,” 64, 51–70. Computational Statistics & Data Analysis.
  12. Chen, W., Gallas, B., & Yousef, W. (2012). “Classifier variability: Accounting for training and testing,” 45(7), 2661–2671. Pattern Recognition.
  13. Chen, W., Gallas, B., Yousef, W., et al. (2012). “Uncertainty estimation with a finite dataset in the assessment of classification models,” 56(5), 1016–1027. Computational Statistics & Data Analysis.
  14. Shi, L., et al. (2010). “The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models,” 28(8), 827–838. Nature Biotechnology.
  15. Yousef, W. A., Kundu, S., & Wagner, R. F. (2009). “Nonparametric estimation of the threshold at an operating point on the ROC curve,” 53(12), 4370–4383. Computational Statistics & Data Analysis.
  16. Yousef, W. A., Wagner, R. F., & Loew, M. H. (2006). “Assessing Classifiers From Two Independent Data Sets in Terms of The ROC Parameters: a Nonparametric Approach,” 28, 1809. IEEE Transactions on Pattern Analysis and Machine Intelligence.
  17. Yousef, W. A., Wagner, R. F., & Loew, M. H. (2005). “Estimating the Uncertainty in the Estimated Mean Area Under the ROC Curve of a Classifier,” 26(16), 2600–2610. Pattern Recognition Letters.
Book chapters3 chapters
  1. Wagner, R. F., Yousef, W. A., & Chen, W. (2008). “Finite Training of Radiologists and Statistical Learning Machines: Parallel Lessons.” In Advances in Medical Physics.
  2. Yousef, W. A. (2022). “Machine learning: construction.” In Artificial Intelligence for Cyber-Physical Systems Hardening. Springer.
  3. Yousef, W. A. (2022). “Machine learning: assessment.” In Artificial Intelligence for Cyber-Physical Systems Hardening. Springer.
Conference papers7 papers
  1. Briguglio, W., Yousef, W. A., Traore, I., Mamun, M., & Saad, S. (2025). “An Alternative Approach to Federated Learning for Model Security and Data Privacy.” Proceedings of the 11th International Conference on Information Systems Security and Privacy (ICISSP), 1, 291–301.
  2. Abdelrazek, N., Yousef, W., & Mustafa, W. (2012). “Microcalcification detection with and without prototype CAD system (LIBCAD): a comparative study.” European Society of Radiology.
  3. Yousef, W. A., et al. (2010). “On Detecting Abnormalities in Digital Mammography.” 39th Applied Imagery Pattern Recognition Workshop, IEEE Computer Society.
  4. Yousef, W. A., & Chen, W. (2009). “Estimating Cross-Validation Variability.” Joint Statistical Meeting, Section on Statistics in Epidemiology.
  5. Chen, W., Wagner, R., Yousef, W., & Gallas, B. (2009). “Comparison of classifier performance estimators: a simulation study.” Proceedings of IEEE Medical Imaging.
  6. Kondratovich, M., & Yousef, W. A. (2005). “Evaluation of Accuracy and ‘Optimal’ Cutoff of Diagnostic Devices in the Same Study.” Proceedings of the American Statistical Association.
  7. Yousef, W. A., Wagner, R. F., & Loew, M. H. (2004). “Comparison of Non-Parametric Methods for Assessing Classifier Performance in Terms of ROC Parameters.” 33rd Applied Imagery Pattern Recognition Workshop, IEEE Computer Society.
Patents2 patents
  1. Yousef, W. A., Traore, I., & Briguglio, W. (2019). “Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring.” Patent pending.
  2. Yousef, W. A. (2017). “Method and system for computer aided detection for cancer.” U.S. patent application.
Open-source software & datasets6 projects
  1. UN-AVOIDS: code for visualizing outliers and invariant detection scoring
  2. Classifier Calibration code
  3. Machine Learning via Encryption framework
  4. Poem Comprehensive Dataset
  5. PyQuran: Python package for Quranic analysis
  6. LIBCAD open-source utilities
Preprints & works in progress10 works
  1. Naguib, A., Yousef, W. A., Traoré, I., & Mamun, M. (2023). “On Statistical Learning of Branch and Bound for Vehicle Routing Optimization.” arXiv:2310.09986.
  2. Yousef, W. A. (2022). “Arabic Poem about Pattern Recognition and Recognizing The Patterns of Arabic Poetry.” OSF Preprints, doi: 10.31219/osf.io/cfp3a.
  3. Yousef, W. A., et al. (2022). “JSOL: JavaScript-based Open-Source Library.” arXiv:2201.04205.
  4. Yousef, W. A., Abouelkahire, A. A., Marzouk, O. S., Mohamed, S. K., & Alaggan, M. N. (2019). “DVP: Data Visualization Platform.” arXiv:1906.11738.
  5. Mustafa, W. A., & Yousef, W. A. (2019). “Nested cavity classifier: performance and remedy.” arXiv:1906.09669.
  6. Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019). “Learning meters of Arabic and English poems with recurrent neural networks.” arXiv:1905.05700.
  7. Elsayed, A. A., & Yousef, W. A. (2019). “Matlab vs. Opencv: a comparative study of different machine learning algorithms.” arXiv:1905.01213.
  8. Yousef, W. A. (2019). “A leisurely look at versions and variants of the cross validation estimator.” arXiv:1907.13413.
  9. Yousef, W. A., et al. (2019). “Method and System for Image Analysis to Detect Cancer.” arXiv:1908.10661.
  10. Yousef, W. A. (2019). “Assessment of multiple-biomarker classifiers: fundamental principles and a proposed strategy.” arXiv:1910.14502.
Dissertations3 PDFs
  1. M.Sc. in Statistics · The George Washington University, 2007
    Nonparametric Estimation of the Threshold at an Operating Point on the ROC Curve    View PDF
  2. Ph.D. in Computer Engineering · The George Washington University, 2006
    Assessment of Statistical Classification Rules: Implications for Computational Intelligence    View PDF
  3. M.Sc. in Computer Science · Helwan University, 1999
    Simulation of Prioritized Channel Assignment Models in Cellular Mobile Radio Networks    View PDF

Experience

A career spanning scientific research, higher education, and product development.

This selected chronology highlights the roles most relevant to this profile.

  1. Current

    Adjunct professor

    Electrical and Computer Engineering, University of Victoria · Canada

  2. Current

    Senior scientist

    ISOT Lab, University of Victoria · Canada

  3. Current

    Professor

    Capital University · Egypt

  4. 2011–2019

    Laboratory director

    Human Computer Interaction Laboratory · Egypt

  5. 2002–2007

    Research fellow

    U.S. Food and Drug Administration, CDRH · U.S.

Education

A foundation in engineering, computing, and statistics.

2007

M.Sc. in Statistics

The George Washington University · U.S.

2006

Ph.D. in Computer Engineering

The George Washington University · U.S.

1999

M.Sc. in Computer Science

Helwan University · Egypt

1997

Professional Certificate in Computer Systems and Applications

American University in Cairo · Egypt

1995

B.Sc. in Electrical Engineering

Ain Shams University · Egypt

Teaching

Make the foundations visible.

Course materialsGitHub repository ↗ Online instructionYouTube courses ↗