Dr. Clélia Lopez is a senior Data Scientist Consultant at the Paprika company. Clélia holds a Machine Learning thesis applied to Transportation Engineering. Moreover, she is an Associate Researcher at ERIC lab, affiliated to the Lyon University. Clélia is specialized in developing Machine Learning models in Python. In addition, she is a Machine Learning instructor and used to training Data Scientist teams. Clélia has experience in managing IT projects (SCRUM, client functional requirements). Currently, she is working on Computer Vision and in the field of chemistry.
- Application of Machine Learning methods on the transportation and logistics fields
- Clustering of traffic states patterns
- Freight Loading Zones Management
- Computer Vision
- Complex Data
Stéphane Magniol
2017 - TFE ENTPE, Quantification monétaire du temps de recherche d’une aire de livraison
Badr Sadouki
2020 - Modélisation et résolution d’un problème de localisation de zones de chargement urbaines
Maria Al Jreidy
2023 - Contribution à la classification non supervisée basée réseaux convolutifs pour graphes
4. Al Alam, P., Constantin, J., Constantin, I., Lopez, C., 2022. Partitioning of Transportation Networks by Efficient Evolutionary Clustering and Density Peaks. Algorithms, 15 (3), 76. 
3. Lopez, C., Zhao, C.-L., Magniol, S., Chiabaut, N., Leclercq, L., 2019. Microscopic Simulation of Cruising for Parking of Trucks as a Measure to Manage Freight Loading Zone. Sustainability, 11 (5), 1276.
2. Lopez, C., Leclercq, L., Krishnakumari, P., Chiabaut, N., van Lint, H., 2017. Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps. Scientific Reports, 7, 14029. 
1. Lopez, C., Krishnakumari, P., Leclercq, L., Chiabaut, N., van Lint, H., 2017. Spatio-temporal Partitioning of Transportation Network using Travel Time data. Transportation Research Record: Journal of the Transportation Research Board, 2623.
7. Batista, S.F.A., Lopez, C., Menendez, M., 2021. On the partitioning of urban networks for MFD-based applications. 7th International IEEE Conference on Models and Technologies for Intelligent Transportation Systems. 16-18 June 2021, Crete, Greece.
6. Lopez, C., Rifki, O., Chiabaut, N., 2021. Optimal freight loading zones: a graph-theoretic approach. The 9th Symposium of the European Association for Research in Transportation (hEART), 2021, Lyon, France.
5. Lopez, C., Magniol, S., Zhao, C.-L., Chiabaut, N., Leclercq, L., 2018. Microscopic Simulation of the Cruising-for-Trucks-Parking as a Measure to Manage Freight Loading Zone. The 6th International Conference on Transportation and Space-time Economics, October 12-14 2018, Beijing, China.
4. Magniol, S., Lopez, C., Gonzalez-Feliu, J., Chiabaut, N., Leclercq, L., 2018. The searching time to measure the Freight Loading Zone Accessibility using microscopic traffic simulation. 7th conference of ILS (Information Systems, Logistics and Supply Chain), July 8-11 2018, Lyon, France, 187906, 406-414.
3. Lopez, C., Krishnakumari, P., Leclercq, L., Chiabaut, N., van Lint, H., 2017. Spatio-temporal Partitioning of Transportation Network using Travel Time data. 96th Annual meeting of Transportation Research Board, 17-01911.
2. Lopez, C., Gonzalez-Feliu, J., Chiabaut, N., Leclercq, L., 2016. Assessing the impacts of goods deliveries’ double line parking on the overall traffic under realistic conditions. The International Conference on Information systems, Logistics and Supply chain (ILS), Bordeaux, France.
1. Chiabaut, N., Lopez, C., Leclercq, L., 2016. Evaluation of the performance of an urban freight system using a Multi-use Lane Arterial. 95th Annual Meeting of the Transportation Research Board, 16-0167.
9. Lopez, C., 2019. Patterns de congestion urbaine & représentation spatio-temporelle. Invited speaker LCE (Lyon Covoiturage Expérimentation) | Workshop > Régulation trafic, 21 May 2019, Lyon, France, IRT System X (Institut de Recherche Technologique).
8. Lopez, C., 2019. Spatio-Temporal Congestion Patterns in Urban Transportation Network to Estimate Travel Times. Invited speaker, séminaire organisé par ERIC (Entrepôts, Représentation & Ingénierie des Connaissances), 20 May 2019.
7. Lopez, C., Hans, E., Courbon, T., 2018. Caractérisation automatique des motifs de congestion à partir de données boucles sur des réseaux périurbains. 1ères Rencontres Francophones Transport Mobilité (RFTM), 189167, 6-8 Juin 2018, Lyon, France.
6. Hans, E., Courbon, T., Lopez, C., 2018. Caractérisation automatique des motifs de congestion à partir de données boucles sur des réseaux périurbains. ATEC ITS, 24-25 janvier 2018, Paris, France.
5. Lopez, C., 2017. Modélisation dynamique du trafic et transport de marchandises en ville : vers une approche combinée. PhD thesis, Université de Lyon.
4. Lopez, C., Leclercq, L., Krishnakumari, P., Chiabaut, N., van Lint, H., 2017. 3D clustering methods to estimate travel times at large urban scale. IEEE 20th International Conference on Intelligent Transportation Systems, Yokohama, JAPAN, October 16, 2017.
3. Lopez, C., 2016. Modélisation dynamique du trafic et logistique urbaine : vers une approche combinée. Journée « Mobilcité », organisée par le pôle de compétitivité Lyon Urban Trucks and Bus (LUTB), Vaulx-en-Velin, France, 21 juin 2016.
2. Lopez, C., 2015. Modélisation dynamique du trafic et logistique urbaine : vers une approche combinée. 20ème journée doctorale de l’Association Française des Instituts de Transport et de Logistique, organisée par l’AFITL, Marne-La-Vallée, France, 1 octobre 2015.
1. Lopez, C., 2015. Effets des livraisons en double file sur la circulation urbaine. Journée « Doctoriales COSYS », organisée par l’IFSTTAR, Marne-La-Vallée, France, 6 et 7 juillet 2015.
Orcid: 0000-0002-7674-3519
