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Amir Rahnama is a researcher at KTH Royal Institute of Technology, specializing in Machine Learning and Explainable AI. His Ph.D. work focused on the evaluation of faithfulness in local feature attribution explanations, contributing valuable insights into the trustworthiness of explainable artificial intelligence. His professional experience includes working as a Senior Machine Learning Engineer at Capgemini, where he collaborates on research projects that bridge the gap between academia and industry, particularly in the realm of Explainable AI.
Capgemini • Sweden
Working on collaborative research projects related to Explainable AI.
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