Tarik Boudghene Stambouli
Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf
Papers
2
Total Citations
64
H-Index
2
About
Tarik Boudghene Stambouli is a researcher at the forefront of affective computing and human-robot interaction, specializing in real-time facial expression recognition. His work bridges computer vision and sociable robotics, addressing the critical challenge of enabling machines to interpret human emotions accurately. Stambouli’s major contributions center on developing robust deep neural network ensembles that overcome common pitfalls in emotion recognition, such as mislabeled training data caused by human bias. His 2020 paper on a “smoothed deep neural network ensemble” for real-time facial expression recognition has garnered 46 citations, reflecting its impact on improving model reliability in dynamic environments. Earlier, his 2019 study on real-time emotional recognition for sociable robotics (18 citations) laid foundational techniques for integrating these systems into interactive robots. By enhancing the accuracy and speed of emotion detection, Stambouli’s work directly advances the field of affective robotics, making human-robot interactions more intuitive and responsive. His research is particularly notable for its practical applications in real-world settings, where rapid, unbiased emotional analysis is essential for seamless collaboration between humans and machines.
Research Focus
Key Achievements
Top Papers
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