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Cristian Wisultschew received the B.S. and M.Sc. degrees in industrial electronics from the Universidad Politécnica de Madrid (UPM), Madrid, Spain, in 2017 and 2018, respectively, where he is currently pursuing the Ph.D. degree.
He carries out his research activity with the Centro de Electrónica Industrial, UPM. He is participating in two European H2020 Research Projects, SCOTT and InSecTT, related to real-time object detection and classification systems deployed at the edge of IoT for railway-level crossing applications. He is also participating in a Spain Government Funded Project, PLATINO, related to accelerating the processing of deep learning algorithms in embedded systems using specific deep learning neural accelerators. He has authored four papers published in international conferences and journals. His research interests are focused on sensor system integration, digital embedded systems, embedded deep learning, deep learning HW accelerators, LiDAR sensors, and Internet of Things.
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