Le Nguyen

Le Nguyen is working in the MAALI project (at the Multimodal Sensing Lab, University of Oulu) to create an intelligent autonomous multi-sensory system to support assisted living. He is also involved with Distributed Intelligence Research at 6G Flagship. His main duty is to design, implement, and evaluate machine learning models on multimodal data, using GPU-accelerated environments at CSC – IT Center for Science. He obtained the Doctor of Science (Technology) degree at Aalto University. During his doctoral studies, he participated in the project Adaptive ambient Backscatter Communications for Ultra-low power Systems (ABACUS) funded by Academy of Finland (Research Council of Finland), where he proposed and implemented novel optimization algorithms to train machine learning models across vertically-distributed data, leveraging superimposed signals. In 2017 – 2018, he participated in the EIT Digital Advanced Connectivity Platform for Vertical Segments, High Impact Initiative project developing Security and Privacy Modules to manage IoT devices. In addition, he worked at Vietnam National University Ho Chi Minh City - University of Science (VNU-HCMUS), Viet Nam; National Institute of Informatics (NII), Japan; Center for Information and Neural Networks (CiNet), Japan; University of St Andrews, UK; Technische Universität Braunschweig, Germany; and Technical Research Centre for Dependency Care and Autonomous Living (CETpD), Spain.