Experience
Visiting Scholar, March – October 2024, Department of Biological and Agricultural Engineering, University of California, Davis, USA
Assistant Teacher of Discrete Mathematics, 2022-2023: JUACS, UM6P, Ben Guerir, Morocco
Data scientist intern, Namyr Big Data Solutions, February 2019 -- July 2019, Hassan, Rabat, Morocco
Education
Ph.D. candidate, Center for Remote Sensing Applications (CRSA), July 2020 -- Ongoing, UM6P, Ben Guerir, Morocco: Towards smart agriculture in Morocco: implementation of an intelligent data-driven agricultural decision support system
Master of Research, Faculty of Sciences, Sep 2017 -- July 2019, UCD, El Jadida, Morocco: Business Intelligence and Big Data Analytics
Bachelor Degree, Faculty of Sciences, Sep 2012 -- July 2017, UCD, El Jadida, Morocco: Mathematics and Computer Science: Software Development and Databases Management
High School Degree, 6 November High School, July 2012, Ouled Frej, El Jadida, Morocco: Mathematic Sciences A
Recent Publications
El Hachimi, C., Belaqziz, S., Khabba, S., Daccache, A., Ait Hssaine, B., Karjoun, H., Ouassanouan, Y., Sebbar, B., Kharrou, M. H., Er-Raki, S., & Chehbouni, A. (2025). Physics-informed neural networks for enhanced reference evapotranspiration estimation in Morocco: Balancing semi-physical models and deep learning. Chemosphere, 374, 144238. https://doi.org/10.1016/J.CHEMOSPHERE.2025.144238
El Hachimi, C., Salwa Belaqziz, ·, Khabba, S., Bouchra, ·, Hssaine, A., Mohamed, ·, Kharrou, H., & Chehbouni, · Abdelghani. (2024). Advancements in weather forecasting for precision agriculture: From statistical modeling to transformer-based architectures. Stochastic Environmental Research and Risk Assessment 2024, 1–23. https://doi.org/10.1007/S00477-024-02778-0
El Hachimi, C., Khabba, S., Belaqziz, S., Ait Hssaine, B., Kharrou, M. H., & Chehbouni, A. (2024). Are raw satellite bands and machine learning all you need to retrieve actual evapotranspiration? E3S Web of Conferences, 489, 04019. https://doi.org/10.1051/E3SCONF/202448904019
El Hachimi, C., Belaqziz, S., Khabba, S., Ousanouan, Y., Sebbar, B. eddine, Kharrou, M. H., & Chehbouni, A. (2023). ClimateFiller: A Python framework for climate time series gap-filling and diagnosis based on artificial intelligence and multi-source reanalysis data. Software Impacts, 18, 100575. https://doi.org/10.1016/j.simpa.2023.100575
Kaissi, O., Belaqziz, S., Kharrou, M. H., Erraki, S., El Hachimi, C., Amazirh, A., & Chehbouni, A. (2023). Advanced learning models for estimating the spatio-temporal variability of reference evapotranspiration using in-situ and ERA5-Land reanalysis data. Modeling Earth Systems and Environment, 1–25. https://doi.org/10.1007/S40808-023-01872-6/METRICS
El Hachimi, C., Belaqziz, S., Khabba, S., & Chehbouni, A. (2022). Data Science Toolkit: An all-in-one python library to help researchers and practitioners in implementing data science-related algorithms with less effort. Software Impacts, 12, 100240. https://doi.org/10.1016/J.SIMPA.2022.100240
El Hachimi, C., Belaqziz, S., Khabba, S., & Chehbouni, A. (2022). Early Estimation of Daily Reference Evapotranspiration Using Machine Learning Techniques for Efficient Management of Irrigation Water. Journal of Physics: Conference Series, 2224(1), 012006. https://doi.org/10.1088/1742-6596/2224/1/012006
El Hachimi, C., Belaqziz, S., Khabba, S., Sebbar, B., Dhiba, D., & Chehbouni, A. (2022). Smart Weather Data Management Based on Artificial Intelligence and Big Data Analytics for Precision Agriculture. Agriculture 2023, Vol. 13, Page 95, 13(1), 95. https://doi.org/10.3390/AGRICULTURE13010095
El Hachimi, C., Belaqziz, S., Khabba, S., & Chehbouni, A. (2022). Towards Smart Big Weather Data Management. Chemistry Proceedings 2022, Vol. 10, Page 54, 10(1), 54. https://doi.org/10.3390/IOCAG2022-12240
El Hachimi, C., Belaqziz, S., Khabba, S., & Chehbouni, A. (2021). Towards precision agriculture in Morocco: A machine learning approach for recommending crops and forecasting weather. Proceedings - 2021 International Conference on Digital Age and Technological Advances for Sustainable Development, ICDATA 2021, 88–95. https://doi.org/10.1109/ICDATA52997.2021.00026
Sebbar, B. E., Khabba, S., Merlin, O., Simonneaux, V., Hachimi, C. El, Kharrou, M. H., & Chehbouni, A. (2023). Machine-Learning-Based Downscaling of Hourly ERA5-Land Air Temperature over Mountainous Regions. Atmosphere 2023, Vol. 14, Page 610, 14(4), 610. https://doi.org/10.3390/ATMOS14040610
El Hachimi, C., Belaqziz, S., Khabba, S., & Chehbouni, A. (2020). A reinforcement learning based approach for efficient irrigation water management. Proceedings of 2020 African Conference of Precision Agriculture.
Naim, A., Aaroud, A., Akodadi, K., & El Hachimi, C. (2021). A fully AI-based system to automate water meter data collection in Morocco country. Array, 10, 100056. https://doi.org/10.1016/J.ARRAY.2021.100056
Naim, A., Aaroud, A., Chouaib, E. hachimi, & Saadani, S. (2019). New embedded system for retrieving meter index. ACM International Conference Proceeding Series. https://doi.org/10.1145/3372938.3373012
El Hachimi, C., & Aaroud, A. (2020). Medical use of deep learning: Malaria testing using pre-trained ResNet. Advances in Intelligent Systems and Computing, 1103 AISC, 273–280. https://doi.org/10.1007/978-3-030-36664-3_31/COVER