معرفی
Mahdi Moeini is an Associate Professor in Operations Research and Machine Learning at ENSIIE (École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise), affiliated with the SAMOVAR laboratory at Télécom SudParis, Institut Polytechnique de Paris. His research focuses on optimization techniques, including DC programming, combinatorial optimization, and their applications in logistics, healthcare, and finance.
- Academic Roles: Associate Professor (2022–present), Adjunct Lecturer (2014–2022) at TU Kaiserslautern, Germany.
- Research Expertise: Portfolio optimization, vehicle routing with drones, emergency medical systems, and metaheuristics.
- Key Contributions: Published 14 journal papers, 24 conference chapters, and 8 technical reports, with a Habilitation in 2018.
Research Interests: Combinatorial optimization, mathematical programming, sustainability in digitization, and machine learning applications.
Teaching: Courses include Operations Research, Data Science, Computational Intelligence, and Financial Data Analysis.
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