Dr. Yamina Aoulmi | Hydrology modeling | Women Researcher Award|

Larbi ben mhidi university,Algeria

Professional Profiles:

👨‍🎓 Bio Summary:

Dr. Yamina Aoulmi is a skilled hydrology researcher and engineer with a strong academic foundation and professional expertise. Her doctoral research focused on advanced modeling techniques for rainfall-runoff and flood flows in semi-arid regions, combining statistical and hydrological models with cutting-edge artificial intelligence methods. She is dedicated to solving critical water resource challenges, particularly in climate-vulnerable regions. Beyond academia, Dr. Aoulmi has extensive field experience in petroleum engineering and water resource management, demonstrating her ability to bridge research with practical applications.

🎓 Educational Background:

Dr. Aoulmi holds a Doctorate in Hydrology from Larbi Ben-M’hidi University, Algeria, with a research focus on semi-arid hydrology and AI-driven predictive modeling. She earned her Master’s degree in Hydraulic Engineering from the National Polytechnic School, Algiers, graduating as the top student in her class (Class A) in 2018. Her foundational education includes a rigorous preparatory program in science and technology, culminating in a successful national competition to enter Algeria’s premier engineering schools.

🔍 Research Focus:

Dr. Aoulmi’s research centers on water resource management in semi-arid regions, emphasizing rainfall-runoff modeling, flood prediction, and climate resilience. She leverages advanced statistical tools and machine learning techniques, including artificial neural networks and metaheuristic algorithms, to improve daily runoff simulations and enhance water flow predictions. Her work contributes to sustainable water management strategies under changing climatic conditions, with publications addressing both theoretical advancements and practical solutions.

🏆 Honors & Awards:

Dr. Aoulmi’s academic excellence has been recognized with top honors in her Master’s program and successful participation in competitive research conferences. Her research has been presented at prestigious platforms, reflecting her dedication to innovation in hydrology and water resource engineering.

💼 Professional Experience:

Dr. Aoulmi combines academic insight with hands-on experience. As a Field Engineer at Schlumberger since 2019, she has supervised complex well-testing operations, including surface sampling and data acquisition, while ensuring HSE compliance. Her early career included trainee roles in petroleum engineering, water treatment, and dam projects, providing her with comprehensive expertise in hydraulics and water resource management. These experiences highlight her ability to apply theoretical knowledge to real-world challenges.

📚 Top Noted Publications :

Title: Runoff Predictions in a Semiarid Watershed by Convolutional Neural Networks Improved with Metaheuristic Algorithms and Forced with Reanalysis and Climate Data

Authors: Aoulmi, Y.; Marouf, N.; Rasouli, K.; Panahi, M.

Citations: 6

Index: Journal of Hydrologic Engineering

Year: 2023

Title: The Assessment of Artificial Neural Network Rainfall-Runoff Models Under Different Input Meteorological Parameters: Case Study—Seybouse Basin, Northeast Algeria

Authors: Aoulmi, Y.; Marouf, N.; Amireche, M.

Citations: 5

Index: Journal of Water and Land Development

Year: 2021

Title: Highly Accurate Prediction Model for Daily Runoff in Semi-Arid Basin Exploiting Metaheuristic Learning Algorithms

Authors: Aoulmi, Y.; Marouf, N.; Amireche, M.; Shubair, R.M.; Keshtegar, B.

Citations: 13

Index: IEEE Access

Year: 2021

Conclusion:

Yamina Aoulmi is a highly qualified and deserving candidate for the Research for Women Researcher Award. Her exceptional academic record, extensive research in hydrology, significant professional experience, and mastery of cutting-edge computational tools make her an ideal recipient. With minor enhancements in research focus, language proficiency, and visibility in global scientific initiatives, she could further solidify her standing as a distinguished researcher and leader in her field.