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Andrea Dunbar is a Professor at the École Polytechnique Fédérale de Lausanne (EPFL), specializing in Data and Artificial Intelligence. Over the years, she has held various positions including Group Leader at Edge AI & Vision from 2018 to 2023. Dunbar's research focuses primarily on optimizing neural networks, photometric stereo techniques, and developing efficient vision systems utilizing convolutional image acquisition. Her work has been published in leading conferences such as ICASSP and CVPR, demonstrating significant contributions to the areas of machine learning and computer vision. Her dedication to education is evident through her role in managing technological education and supervising PhD students at EPFL. With a combination of theoretical and practical expertise, Dunbar aims to advance the field of AI through innovative research and high-quality teaching efforts.
École Polytechnique Fédérale de Lausanne • Lausanne, Switzerland
Leading research and teaching in data science and AI.
Edge AI & Vision • Lausanne, Switzerland
Directed research projects focusing on advanced neural networks.
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