Rahimeh Neamatian Monemi

PhD in Computer Science (Université Blaise Pascal, Clermont-Ferrand, 2014), Adjunct Professor in Analytics and Operations Research, and Founder & Director of Predictim Globe (Lille, France). She is the principal architect of the NEDMIL consortium, leading its scientific and industrial partnerships across six continents. Her research spans combinatorial optimisation, machine learning, logistics, and maritime systems — with an increasing focus on hybrid AI-optimisation methods.

• Combinatorial optimisation and mixed-integer programming
• Hub location and network design (hub-and-spoke, liner shipping, cross-docking)
• Machine learning & AI applied to logistics and predictive maintenance
• Neural Benders decomposition and hybrid AI-optimisation methods
• Humanitarian logistics and multi-period supply chain planning
• Maritime corrosion prediction using IoT sensor data and deep learning

Since 2020, Rahimeh has held concurrent academic and entrepreneurial roles — simultaneously serving as Adjunct Professor at leading French business schools while founding and directing Predictim Globe, her data science and optimisation company based in Lille.

• 2024–present · Adjunct Professor, IESEG School of Management, Roubaix — and Director, Predictim Globe, Lille (concurrent)
• 2023–present · Adjunct Professor, EDHEC Business School, Roubaix — and Director, Predictim Globe, Lille (concurrent)
• 2022–2023 · Adjunct Professor, Institut Catholique d'Art et Métier (ICAM), Lille — and Director, Predictim Globe (concurrent)
• 2020–2021 · Assistant Professor (public fixed-term contract), Faculté des Sciences et Technologies, Université de Lille — and Founder & Director, Predictim Globe (concurrent)
• 2019–2020 · Assistant Professor (public fixed-term contract), Département Informatique, IUT de Metz, Université de Lorraine
• 2018–2019 · Senior Researcher (Data Sciences), IT Innovation Centre, University of Southampton, UK
• 2016–2018 · Research Fellow, CORMSIS, Southampton Business School — and Senior Consultant, IT and Business Analytics Ltd., Southampton (concurrent)
• 2015 · Postdoctoral Researcher, IFSTTAR, Villeneuve d'Ascq, France
• 2009–2014 · PhD Researcher, LIMOS (CNRS UMR 6158), Université Blaise Pascal, Clermont-Ferrand, France
• 2008–2009 · Junior Research Fellow, Centre for Maritime Studies, National University of Singapore
• 2008 · Lecturer & Head of Computer Science Department, Université Payame Noor, Khorramshahr, Iran

• Interreg 2Seas SOCORRO2 (2020–2023): Co-lead Data Workpackage for marine corrosion prediction using IoT & ML — consortium across France, UK, Belgium, Netherlands
• PGMO–BENMIP (2015–2020): Generic Benders Decomposition solver (C++ API), with Université Libre de Bruxelles and University of Portsmouth

• Monemi et al. Neural Benders decomposition for mixed-integer programming. TOP, Springer, 2024.
• Monemi et al. Solution algorithms for dock scheduling and truck sequencing in cross-docks: A neural branch-and-price and a metaheuristic. Computers & Operations Research, 2024.
• Monemi et al. A Machine Learning Based Cut-Branch-and-Benders for Dock Assignment and Truck Scheduling. Transportation Research Part E, 2023.
• Monemi et al. Multiple Allocation Hub Location Problem with Serial Demand: humanitarian aids distribution in Lebanon. Transportation Research Part E, 2021.
• Monemi et al. Bi-objective Load Balancing Multiple Allocation Hub Location: A compromise programming approach. Annals of Operations Research, 2020.
• Monemi & Gelareh. Network design, fleet deployment and empty repositioning in liner shipping. Transportation Research Part E, 2017.

• Best Paper Award — LCIS 2017, Lebanon
• Best Paper Award — AISD 2019, Lebanon

• Editorial board member: Transportation Research Part E (since 2021)
• Editorial board member: Journal of Transportation and Logistics (since 2022)
• Scientific committee: GECCO (ECOM track) 2017–2019
• Member: ROADEF, EWGLA, EWGT, ENOG, IMS

• N. Belledjehem — e-Bike repositioning in urban mobility (since Mar 2025)