جست‌وجوی استاد و پژوهشگر

• Combinatorial Optimization
• Operations Research
• Artificial Intelligence
• +۳ مورد دیگر

Corinne LUCET-VASSEUR is a University Professor at Université de Picardie Jules Verne (UPJV), leading Research Unit UR 4290 (OCIA - Optimisation Combinatoire, Images et Applications). Her office (Room 302, Tel: 5900) serves as the hub for her research group focused on combinatorial optimization and artificial intelligence applications. Her research spans: Combinatorial Optimization : Developing metaheuristics for NP-hard problems Healthcare Logistics : Patient flow optimization, facility location, simulation training Logistics Engineering : Parcel distribution, vehicle routing with time windows Algorithm Design : Ant Colony Optimization, Adaptive Large Neighborhood Search, portfolio methods She applies these methodologies to solve complex real-world problems, particularly in healthcare systems where resource constraints and scheduling complexity demand innovative optimization approaches. Her work bridges theoretical advances with practical implementation through industrial partnerships. Current research projects include: SMILE PICK UP (CIFRE industrial partnership) Simusanté (healthcare simulation) LORH (logistics optimization) These projects secure ongoing funding and provide doctoral training opportunities through industry collaboration. Her publication record demonstrates consistent methodological innovation applied to healthcare and logistics challenges across multiple European conferences and journals. Professor Lucet-Vasseur actively mentors junior researchers through co-authorship on conference papers and journal articles. Her supervision style emphasizes practical problem-solving with industry relevance, preparing students for both academic and industrial careers in optimization. The OCIA research unit provides a collaborative environment for tackling complex combinatorial problems with real-world impact. The OCIA laboratory serves as UPJV's center for combinatorial optimization research, specializing in metaheuristic development for healthcare and logistics applications. The lab maintains strong industry connections through CIFRE contracts and applied projects, ensuring research relevance while providing students with exposure to real business challenges. Current focus areas include adaptive algorithm selection using reinforcement learning and fitness landscape analysis for optimization problems.

• Intelligent Transportation Systems
• Control Theory
• Optimization
• +۳ مورد دیگر

Abdelkader EL KAMEL serves as a Lecturer at Centrale Lille, affiliated with the OSL research team within the CRIStAL laboratory. His office is located in room C339 at the Scientific City campus. His research centers on intelligent transportation systems and control engineering, with specific expertise in vehicle routing optimization, trajectory planning for autonomous vehicles, aperiodic sampling in nonlinear systems, and deep learning applications for mobility modeling. This work bridges theoretical control frameworks with real-world transport challenges. Dr. EL KAMEL has supervised seven doctoral theses: Bing Liu: Control and optimization of intelligent transport systems in the vicinity of intersections (Supported September 9, 2016) Yihan Liu: Optimization of home service vehicle routing problem (Supported June 27, 2017) Qing Shi: Trajectory planning and optimization for an active obstacle avoidance system for intelligent vehicles (Defended January 19, 2021) Qi Sun: Contribution to the control of nonlinear systems under aperiodic sampling (Defended December 15, 2016) Chen Xia: Control and optimization of intelligent transport systems in the vicinity of intersections (Supported November 24, 2015) Jian Zhang: Deep learning vehicle mobility model in intelligent transportation systems (Supported December 7, 2018) DIARY: Thesis details pending institutional notification (All dates subject to event updates) He conducts research within the OSL (Optimization and Systems Laboratory) team at CRIStAL, focusing on algorithmic solutions for intelligent mobility systems.

Frédéric Semetمشاهده پروفایل

استاد

• Combinatorial Optimization
• Vehicle Routing
• Location Problems

Frédéric Semet is a Full Professor at École Centrale de Lille and Deputy Director of CRIStAL research laboratory. He holds permanent invitations to the laboratory council and serves on the scientific council. His offices are located at Centrale Lille (Room C343) and ESPRIT (Room S1.20) within the Cité Scientifique campus. His primary research focuses on combinatorial optimization with specialized applications in vehicle routing and location problems . He maintains active industry collaborations through projects with distribution companies and leads research within the INRIA team INOCS. With over 85 scientific publications, his work predominantly advances optimization methodologies in logistics and transportation systems. His research output consistently addresses complex decision-making frameworks in supply chain management. President Medal of the Operational Research Society (1999) He has supervised 13 doctoral candidates, with recent theses covering: Hyperheuristics in Logistics Integrated transportation-health optimization Sustainable logistics network design Multi-product vehicle routing for local food systems He coordinates with the French CNRS working group on Vehicle Routing and Logistics (GT2L) and the EURO Working Group VEROLOG, establishing international research connections.

Jesus Gonzalez Feliuمشاهده پروفایل

استاد

• Sustainable urban logistics
• Demand modeling and forecasting
• Transport optimization
• +۸ مورد دیگر

Jesus Gonzalez Feliu is a Professor of Supply Chain Management at Excelia Business School in La Rochelle, France. He holds a PhD in Computer and Systems Engineering from the Politecnico di Torino (Italy) and an Habilitation à Diriger des Recherches from the University of Paris Est. His academic journey includes positions as Research Engineer at CNRS, Assistant Professor at Ecole des Mines de Saint-Etienne, and current Professor at Excelia Business School since 2020. Habilitation à diriger des recherches, Université Paris Est, France (2016) Doctorat en Génie informatique et des systèmes, Politecnico di Torino, Italie (2008) Master en Transport et mobilité durable, Politecnico di Torino, Italie (2004) Professor Gonzalez Feliu specializes in sustainable urban logistics, demand modeling and forecasting, transport optimization, sustainable food logistics, humanitarian logistics and resilience, and group decision-making processes. His research often focuses on data production and demand estimation, interactive problem solving, and scenario evaluation in logistics contexts. He has made significant contributions to understanding urban freight systems, particularly in developing sustainable solutions for cities in both developed and developing countries. His extensive publication record includes over 75 peer-reviewed journal articles, 2 monographs, and guest editorship of more than 10 special journal issues. His most recent work demonstrates a continued focus on spatial accessibility in logistics warehouses, urban goods transport demand estimation, and sustainable supply chain solutions, with particular attention to applications in developing countries and humanitarian contexts. Chair of Urban Logistics Lab Scientific Committee, Deakin University, Melbourne (2019-2023) Member, Urban Mobility Observatory, Universidad del Pacifico, Lima (2020-present) Professor Gonzalez Feliu has supervised numerous research projects and collaborations across Europe, Latin America, and Australia. His work bridges theoretical modeling with practical applications, particularly in developing decision support systems for urban logistics planning and management. His international perspective is reflected in his research on logistics systems in diverse contexts, from European cities to developing economies in Latin America.