معرفی
Fehmina Malik is a postdoctoral fellow at Avignon University, affiliated with the Avignon Computer Science Laboratory (LIA), a Research Unit (UPR 4128) under the Avignon University Center for Teaching and Research in Computer Science (CERI). She is a member of the CORNET research team, and her work is supported by the LIAvignon partnership chair in artificial intelligence.
Her research centers on applying cooperative game theory—specifically Shapley values—to enhance explainability in artificial intelligence models, with a focus on emotion detection systems. She investigates how feature correlation impacts SHAP attributions to refine machine learning interpretability, bridging theoretical game theory with practical AI transparency challenges.
Malik has published in leading journals including IEEE Transactions on Networking and IEEE Transactions on Network and Service Management, with conference presentations at WIOPT, Performance, and COMSNET. Her work demonstrates an interdisciplinary synthesis of network economics, optimization, and explainable AI methodologies.
Though not currently supervising graduate students, she advises aspiring researchers to prioritize curiosity, perseverance, and cross-disciplinary collaboration. The Avignon Computer Science Laboratory (LIA) comprises approximately 90 members—including 29 permanent staff and forty doctoral students—and conducts research in automatic speech processing, networks, and operational research through its CORNET and SLG teams.
