Summary
Fadoua Khmaissia is a research scientist with a Ph.D. in Computer Science and 10 years of experience applying deep learning and semi-supervised methods to computer vision and materials science problems. Currently at Nokia Bell Labs and teaching courses in Python and deep learning at the University of Louisville, she blends academic rigor with industry-focused research. Her background spans internships and roles at Apple, Intuit, and Huawei where she translated exploratory models into practical prototypes and even co-authored a patent on anomaly detection. She has led applied projects on automatic target detection, buried object detection, and AI for renewable materials, reflecting a strong commitment to AI for Social Good and Climate Change. Colleagues describe her as a bridge between multidisciplinary teams, able to take limited labeled data and turn it into robust, deployable models.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Higher School of Communication of Tunis
Master's degree, Master's degree at University of Louisville
Summer Scholar (Cross-layer computing summer school), Summer Scholar (Cross-layer computing summer school) at Northwestern University
Associate of Science - AS - MPSI - PSI*, Associate of Science - AS - MPSI - PSI* at IPEST La Marsa (Institut Préparatoire aux études scientifiques et techniques La Marsa )
Arabic, French, English, German, tunisian