Biography
Dr. HDR Ghazaleh Khodabandelou is a Professor of Computer Science at the University of Paris-Est Créteil (UPEC), affiliated with the
Laboratoire Images, Signaux et Systèmes Intelligents (LISSI). She holds a
Ph.D. in Artificial Intelligence from Paris 1 Panthéon-Sorbonne University and an
HDR (Habilitation à Diriger des Recherches) in Artificial Intelligence from Université Paris-Est.
Her research focuses on
advanced artificial intelligence methodologies, including
multimodal deep learning, large language models, neuro-symbolic reasoning, and advanced optimization techniques. She develops AI systems at the intersection of
theory and real-world impact, with applications spanning
human-centric computing, ambient intelligence, healthcare, robotics, emotional intelligence, and intention mining.
She is currently a
Visiting Scholar at Children’s National Hospital (Washington, D.C.), where her work contributes to the development of
AI-driven approaches for pediatric healthcare, with a particular emphasis on
data-driven modeling, multimodal clinical data analysis, and intelligent decision-support systems for childhood diseases.
Dr. Khodabandelou has authored
numerous publications in leading international journals and conferences, reflecting her commitment to advancing artificial intelligence at both
methodological and applied levels. She is actively involved in
Ph.D. supervision and mentoring, guiding doctoral and postdoctoral researchers in areas such as
multimodal AI, human-centered machine learning, and healthcare AI.
She has established
strong international collaborations with academic and research institutions across
North America, Europe, and Asia, including partners in
Canada, the United States, Japan, Germany, and Italy. In France, she collaborates closely with
major academic institutions and engineering schools.
An active member of the scientific community, Dr. Khodabandelou serves as
Associate Editor for international AI journals and regularly contributes to the organization of
major conferences, workshops, and special sessions in artificial intelligence.
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