sales@mesclabs.com
info@mesclabs.com

Founder of MESC Labs

Waleed A. Yousef, Ph.D.,

CEO, chief scientist, and founder.

  •  CEO, chief scientist, and founder of MESC Labs, Canada.
  •  Senior scientist, ISOT Lab, University of Victoria, Canada.
  •  Adjunct professor, University of Victoria, Canada.
  •  Senior member, IEEE

  •  Lab. Director, Human Computer Interaction Laboratory (HCILAB) (2011-2019), Egypt.
  •    Associate professor, Helwan University, (2015--2019), Egypt.
  •   Assistant professor, Helwan University, (2007--2015), Egypt.
  •  Research Member, Microarray Quality Control Phase 2 (MAQC2) Project (2007-2010), U.S.
  •  Research Fellow, U.S. Food and Drug Administration (FDA) Center for Devices and Radiological Health (CDRH) (2002-2007), U.S.


                    


Education
  •   M.Sc. in Statistics, The George Washington University (GWU), 2007, U.S.
  •   Ph.D. in Computer Engineering, GWU, 2006, U.S.
  •   M.Sc. in Computer Science, Helwan University, 1999, Egypt.
  •   Professional Certificate in Computer Systems and Applications, American University in Cairo (AUC), 1997, Egypt.
  •   B.Sc. in Electrical Engineering, Communications and Electronics, Ain Shams University, 1995, Egypt.


Teaching
  •   All of my teaching materials.
  •   All of my online course.


Research Interset
The research areas of MESC Labs: data science, data analysis, probabilistic analysis, statistical analysis, machine learning, pattern recognition, artificial intelligence, image processing, computer aided detection, data visualization.
Google Scholar


U.S. Patents

  • Yousef, W. A., Traore I., and Briguglio W. (2019), "Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring", Patent Pending, US 6,316,8686.
  • Yousef, W. A. (2017), "Method and system for computer aided detection for cancer", Patent allowed, US 62,531,219, 07 11.


Book Chapters

  • Wagner, R.F., Yousef, W.A., and Chen W. (2008), "Finite Training of Radiologists and Statistical Learning Machines: Parallel Lessons", A.B. Wolbarst, K.L. Mossman, and W.R. Hendee, Editors, Advances in Medical Physics.
  • Yousef, W. A. (2022). "Machine learning: construction", In I. Traore, I. Woungang, & S. Saad (Eds.), Artificial Intelligence for Cyber-Physical Systems Hardening, Springer.
  • Yousef, W. A. (2022). "Machine learning: assessment", In I. Traore, I. Woungang, & S. Saad (Eds.), Artificial Intelligence for Cyber-Physical Systems Hardening, Springer.


Journals

  • Yousef, W. A., Traore, I., & Briguglio, W. (2022) "Classifier Calibration: with application to threat scores in cybersecurity". IEEE Transactions on Dependable and Secure Computing.
  • 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.
  • 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, Elsevier, Pattern Recognition Letters.
  • Yousef, W. A. (2019), "Estimating the Standard Error of Cross-Validation-Based Estimators of Classifier Performance", 146, 115-145, Elsevier, Pattern Recognition Letters.
  • Yousef, W. A. (2020). ``Prudence when assuming normality: an advice for machine learning practitioners'', 138, 44-50, Elsevier, Pattern Recognition Letters.
  • 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, Elsevier, Energy and Buildings.
  • 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, Elsevier, Journal of Building Engineering.
  • Yousef, W. a.; Kundu, S. (2014). "Learning algorithms may perform worse with increasing training set size: Algorithm-data incompatibility", 74, 181-197, Elsevier, Computational Statistics & Data Analysis.
  • Abdel Razek, N. M., Yousef W. A., and W. A. Mustafa (2013). "Microcalcification detection with and without CAD system (LIBCAD): A comparative study.", 44(2): 397-404, Elsevier, The Egyptian Journal of Radiology and Nuclear Medicine.
  • Yousef, W. A. (2013). "Assessing classifiers in terms of the partial area under the ROC curve", 64(0): 51-70, Elsevier, Computational Statistics & Data Analysis.
  • Chen, W.; Gallas, B.; Yousef, W (2012), "Classifier variability: Accounting for training and testing", 45(7): p. 2661-2671, Elsevier, Pattern Recognition.
  • Chen, W.; Gallas, B.; Yousef, W; et. al. (2012), "Uncertainty estimation with a finite dataset in the assessment of classification models", 56(5): p. 1016-1027, Elsevier, Computational Statistics & Data Analysis.
  • Shi, Leming 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 (advance online publication version), Nature Biotechnology.
  • Yousef, W.A; Kundu, S.; and Wagner, R.F. (2009), "Nonparametric estimation of the threshold at an operating point on the ROC curve", 53(12): p. 4370-4383, Elsevier, Computational Statistics & Data Analysis.
  • Yousef, W.A., Wagner, R.F., and Loew M.H. (2006) "Assessing Classifiers From Two Independent Data Sets in Terms of The ROC Parameters: a Nonparametric Approach", vol. 28: p.1809-2006, Pattern Analysis and Machine Intelligence, IEEE Transactions on.
  • Yousef, W.A., Wagner, R.F., and Loew, M.H. (2005) "Estimating the Uncertainty in the Estimated Mean Area Under the ROC Curve of a Classifier", 26(16): p. 2600-2610, Elsevier, Pattern Recognition Letters.


Conferences

  • Abdelrazek, N.; Yousef, W.; Mustafa, W. (2012), "Microcalcification detection with and without prototype CAD system (LIBCAD): a comparative study", (ECR 2012 / C-1063), European Society of Radiology.
  • Yousef, W. A. et al. (2010), "On Detecting Abnormalities in Digital Mammography", Proceedings, 39th, Applied Imagery Pattern Recognition Workshop 2010, IEEE Computer Society.
  • Yousef, W.A. and W. Chen. (2009), "Estimating Cross-Validation Variability", Proceedings of the 2009, Joint Statistical Meeting, Section on Statistics in Epidemiology.
  • Chen, Weijie; Wagner, Robert; Yousef, Waleed; Gallas, Brandon (2009). "Comparison of classifier performance estimators: a simulation study", vol. 7263, Proceedings of IEEE Medical Imaging.
  • Kondratovich, M. and Yousef, W.A. (2005) "Evaluation of Accuracy and ``Optimal'' Cutoff of Diagnostic Devices in the Same Study". Proceedings of the American Statistical Association.
  • Yousef, W.A., Wagner, R.F., and Loew, M.H. (2004) "Comparison of Non-Parametric Methods for Assessing Classifier Performance in Terms of ROC Parameters", Proceedings; 33rd, Applied Imagery Pattern Recognition Workshop, IEEE Computer Society.


Open-source Software and Datasets



Unpublished Publications (sounds funny): on arxiv and under submission to journals

  • Yousef, W. A. (2022). "Arabic Poem about Pattern Recognition and Recognizing The Patterns of Arabic Poetry". OSF preprints, doi: 10.31219/osf.io/cfp3a.
  • Yousef, W. A., Hisham E. Mohammed, Andrew A. Naguib, Yusuf M. Khalifa, Alaa M. Mamdoh, Eman A. Awad, Nada A. Shawky Shrouk T. AbdElrheem, Sara G. Gaafar (2022), "JSOL: Javascript-based Open-Source Library", arXiv preprint arXiv:
  • Yousef, W. A., Abouelkahire, A. A., Marzouk, O. S., Mohamed, S. K., Alaggan, M. N. (2019), "DVP: Data Visualization Platform", arXiv preprint arXiv:1906.11738
  • Mustafa, W. A. and Yousef, W. A. (2019), "Nested cavity classifier: performance and remedy", arXiv preprint arXiv:1906.09669.
  • Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700.
  • Elsayed, A. A., and Yousef, W. A. (2019), "Matlab vs. Opencv: a comparative study of different machine learning algorithms". arXiv preprint arXiv:1905.01213.
  • Yousef, W. A. (2019), "A leisurely look at versions and variants of the cross validation estimator", arXiv preprint arXiv:1907.13413
  • Yousef, W. A., Ahmed A. Abouelkahire, Deyaaeldeen Almahallawi, Omar S.Marzouk, Sameh K. Mohamed, Waleed A. Mustafa, Omar M. Osama, Ali A. Saleh, Naglaa M. Abdelrazek (2019), "Method and System for Image Analysis to Detect Cancer", arXiv preprint arXiv:1908.10661
  • Yousef, W. A. (2019) "Assessment of multiple-biomarker classifiers: fundamental principles and a proposed strategy". arXiv preprint arXiv:1910.14502


Dissertations

  • M.Sc. in Statistics, The George Washington University (GWU), 2007, "Nonparametric Estimation of the Threshold at an Operating Point on the ROC Curve" (pdf)
  • Ph.D. in Computer Engineering, GWU, 2006, "Assessment of Statistical Classification Rules: Implications for Computational Intelligence" (pdf)
  • M.Sc. in Computer Science, Helwan University, 1999, "Simulation of Prioritized Channel Assignment Models in Cellular Mobile Radio Networks" (pdf)