Professor, Sidi Mohamed Ben Abdellah University, Morocco.
Mouhamed Ettaouil is a highly skilled individual with a strong background in computer science and operations research. He has obtained multiple advanced degrees, including PhDs from Ibn Tofail University and the Faculty of Sciences and Techniques of Fez. His expertise lies in artificial intelligence, data analytics, and statistical learning, with a focus on designing decision-making systems in computer vision, logistics, and economics.
Professional Profile
Education 🎓
*PhD in Statistical Learning*, Ibn Tofail University, Morocco (2017)*PhD in Computer Science and Operations Research*, Faculty of Sciences and Techniques of Fez, Morocco (2011)*Master in Applied Mathematics*, Faculty of Science and Technology of Fez (1998-1999)*Artificial Intelligence Analyst/Business Analytics*, University of Colorado Boulder, USA (2020)*Artificial Intelligence Analyst*, Skills Academy, IBM, USA (2020)
Experience 💼
*PhD in Statistical Learning*, Ibn Tofail University, Morocco (2017)*PhD in Computer Science and Operations Research*, Faculty of Sciences and Techniques of Fez, Morocco (2011)*Master in Applied Mathematics*, Faculty of Science and Technology of Fez (1998-1999)*Artificial Intelligence Analyst/Business Analytics*, University of Colorado Boulder, USA (2020)*Artificial Intelligence Analyst*, Skills Academy, IBM, USA (2020)
Research Focus 🔍
*PhD in Statistical Learning*, Ibn Tofail University, Morocco (2017)*PhD in Computer Science and Operations Research*, Faculty of Sciences and Techniques of Fez, Morocco (2011)*Master in Applied Mathematics*, Faculty of Science and Technology of Fez (1998-1999)*Artificial Intelligence Analyst/Business Analytics*, University of Colorado Boulder, USA (2020)*Artificial Intelligence Analyst*, Skills Academy, IBM, USA (2020)
Awards and Honors 🏆
– Mastery Award Badge, Skills Academy, IBM, USA (2020)
Publication Top Notes
– The Continuous Hopfield Networks (CHN) for the placement of the Electronic Circuit Problem 💻
– The Placement of Electronic Circuits Problem: A Neural Network Approach 🤖
– Improved Optimal Competitive Hopfield Network for the Maximum Stable Set Problem 📊
– Image Medical Compression by A new Architecture Optimisation Model for the Kohonen Networks 🏥
– A new architecture optimization model for the Kohonen networks clustering 📈
– A new algorithm to reduce the size of the continuous Hopfield network 💻
– Learning Algorithm of Kohonen Network With Selection Phase 📚
– A New Algorithm for Optimization of the Kohonen Network Architectures Using the Continuous Hopfield Networks
The candidate’s strong educational background, diverse research experience, and published papers make them a compelling candidate for the Best Researcher Award. By highlighting collaboration, impact, and research continuity, the candidate could further strengthen their application and demonstrate their potential for continued excellence in research.