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-renowned team on an interdisciplinary project to advance machine learning models for tackling complex traffic problems. We are pioneers in traffic estimation using physics-informed machine learning and we
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and Software Program and in Digital Futures . We have an extensive academic network and collaborate with researchers at MIT, UIUC, Stanford, EPFL, among others. For more informatio Supervision: Prof
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for the detection of cyber-physical attacks, within the framework of a new WASP-project. The Division of Decision and Control Systems and the Division of Network and Systems Engineering conduct fundamental research
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. Work and study in Stockholm, close to nature and the water. Help to relocate and be settled in Sweden and at KTH . Work with project partners from MIT, Senseable Stockholm Lab, and Digital Futures