Dr. Le Viet Duc is Assistant Professor at the Department of Computer Science at the University of Twente. He is broadly interested in bringing Machine Learning and Deep Learning into real-world behavior analytics. In addition to his academia research experience, he also has 10-years R&D experience on smart devices in industry. Inspired by the way human brain learns the world, he is eager to develop a cognitive sensing system that can minimize obtrusiveness and adapt itself to individuals and environments with limited prior knowledge. His focus is on employing recent advances in transfer learning and deep reinforcement learning to find hidden representations from long-term unlabeled data collected in unstructured environments.
Over the years, he has built up his experience in embedded systems, mobile sensing, localization, and deep learning. Examples include an infrastructure-independent framework for robust and reliable sensing in smart cities (best paper award 2012), a novel algorithm for context detection (best paper award 2014) to detect the transition of human activities, and an innovative localization algorithm (patented in 2017) for human and device tracking in unstructured environments.
Besides supervising PhDs and Masters on human and animal behavior monitoring based on location tracking and activity recognition in real world, he is doing research on vital sign detections for human mental monitoring and infrastructure condition monitoring.