Dr. Ahlem Aboud | Computer Science | Research Excellence Award

Université de Picardie Jules Verne | France

Dr. Ahlem Aboud is a researcher in Artificial Intelligence and bio-inspired optimization, with a strong focus on dynamic and multi-objective optimization problems. Her research integrates population-based metaheuristics such as Particle Swarm Optimization, Crow Search Algorithm, and Whale Optimization Algorithm with machine learning and deep learning frameworks. According to Scopus, she has published 5 indexed research articles, received 59 citations, and holds an h-index of 4. Her work is published in high-impact venues including Applied Soft Computing, Applied Sciences, and IEEE flagship conferences. She has contributed novel dynamic Pareto bi-level optimization strategies applied to feature selection, big data fusion, and intelligent decision systems. Her research advances adaptive optimization for complex, evolving environments and interdisciplinary AI applications.

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