Karim El Moutaouakil
Karim El Moutaouakil received his PhD degree in artificial neural networks from USMB. Received Artificial Intelligence Analyst Mastery from IBM in 2020; received Artificial Intelligence Analyst/ Business Analytics Mastery from University of Colorado Boulder (USA) in 2020. Member founder of INNS morocco chapter. General chair of BDiot’19. Project leader in artificial intelligence. Review for: Mathematical Modeling and Computing, Bioscience & Engineering: An International Journal (BIOEJ) Advanced Medical Sciences: An International Journal (AMS), Supercomuting, Cognitive Systems Research, International Journal of Interactive Multimedia and Artificial Intelligence, Progress in Artificial Intelligence, International Journal of Computer Applications in Technology, and Soft computing. He is currently a professor of computer science, optimization, and operational research at the FPT/USMBA. His research interests include artificial intelligence, optimization, operational research, machine learning, optimal control, Bio-Informatique/mathematics, and pattern recognition.
APPLIED MATHEMATIC SKILLS
-Operational research-Unconstrained and constrained optimization
- Probability theory
- Inferential statistics
- Data analysis
- Approximate solution to linear systems
- Interpolation methods; Approximate solution to differential and partial differential equations;
- Statistical learning, probabilistic reasoning and stochastic processes for modeling dynamic systems
- Numerical solutions of linear systems
- Numerical solutions of differential equations
- Numerical solutions of partial differential equations
COMPUTING SKILLS
-Artificial intelligence (knowledge representation, local search, game theory, constraint satisfaction, decision theory, artificial neural networks, Bayesian networks, first- and second order logic, logic programming, reinforcement learning)-Machine Learning (classification, dimensionality reduction, vector quantization, association rule learning)
-Data analysis
-Language theory and compilers
-Structural programming language: algorithms and C and complexity
-Object-oriented programming languages: Java, C++ and C#
-Logic programming: PROLOG
-Event-driven programming: .NET
-Data mining software: Matlab, R, Weka (Machine Learning), Neuroph (neural networks), Netica (neural networks), Fispo (Fuzzy Logic).