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Research interests and affiliations

Research interests
  • Numerical Optimization
  • Data Science and Machine Learning
  • Computational Science and Engineering
Expertise type(s) (NSERC subjects)
  • 1601 Operations research and management science
  • 2713 Algorithms
  • 2715 Optimization
  • 2955 Numerical analysis
  • 2956 Optimization and optimal control theory

Publications

Recent publications
Journal article
Bergou, E.H., Diouane, Y., Kungurtsev, V. & Royer, C.W. (2022). A Stochastic Levenberg--Marquardt Method Using Random Models with Complexity Results. SIAM/ASA Journal on Uncertainty Quantification, 10(1), 507-536. Retrieved from https://doi.org/10.1137/20m1366253
Conference paper
Saves, P., Bartoli, N., Diouane, Y., Lefebvre, T., Morlier, J., David, C., Nguyen Van, E. & Defoort, S. (2022). Multidisciplinary design optimization with mixed categorical variables for aircraft design. Paper presented at the AIAA SCITECH 2022 Forum, San Diego, CA, USA. Retrieved from https://doi.org/10.2514/6.2022-0082
Conference paper
Karabaş, U., Diouane, Y. & Douvenot, R. (2021). A Multiscale Parametrization for Refractivity Estimation in the Troposphere. Paper presented at the 15th European Conference on Antennas and Propagation (EuCAP 2021), Dusseldorf, Germany (5 pages). Retrieved from https://doi.org/10.23919/EuCAP51087.2021.9410989

Biography

Youssef Diouane is a professor at the department of Mathematics and Industrial Engineering (MAGI) of Polytechnique Montréal, Canada, effective February 1, 2022. Before joining MAGI, Prof. Diouane was a professor in the department of Complex Systems and Engineering (DISC) at ISAE-SUPAERO,Toulouse, France.

His research is concerned with using numerical optimization and its applications to complex systems, design and data sciences. He targets to develop and provide efficient optimization algorithms with optimal guarantees to solve optimization problems arising in engineering applications.

He is particularly interested in Black box optimization and its application to simulation based problems, likely to be expensive-to-evaluate and/or subject to uncertainties.

Education

  • Accreditation to supervise research (HDR), Applied Mathematics, INP Toulouse, France, 2021
  • PhD, Applied Mathematics, INP Toulouse, France, 2014
  • Engineering Diploma, Computer Science and Applied Mathematics, ENSEEIHT, Toulouse, France, 2011
  • Master of Science, Computer Systems and Software Engineering, INP Toulouse, France, 2011
  • Bachelor, Applied Mathematics, Université Paul Sabatier, Toulouse, France, 2010