Geraldin Nanfack

Geraldin Nanfack is a researcher specializing in artificial intelligence and machine learning, with a focus on decision trees, explainability, and fairness constraints. His work bridges algorithmic design with ethical considerations in AI systems.

• Key Research Areas: Decision tree analysis, constraint enforcement, explainable AI, fairness in machine learning, and domain-knowledge integration.
• Notable Projects: Contributed to the VeriLearn project (2018-2022), aimed at verifying AI systems, and authored foundational surveys on constraint enforcement in decision trees.

Publications: His recent work includes studies on fairness in decision trees, explainability evaluation for computer vision, and the evolution of decision trees toward responsible AI frameworks.