Dr. Vien Ngo is a Lecturer in the Data Science and Scalable Computing cluster (DSSC/ECIT/EEECS) since September 2017 and is doing research in machine learning and robotics.

Dr. Ngo's study focuses on looking for the bridge among machine learning techniques with robot learning and motion planning. His broad research interest lies in three main topics: i) Intelligent Systems: Reinforcement learning, policy search, deep reinforcement learning, planning under uncertainty (POMDPs), learning from human feedback; ii) Machine Learning: Probabilistic modelling, deep learning, Bayesian inference, active learning; and iii) Robotics: Motor skill learning, movement primitives, manipulation under uncertainty, model learning, motion planning, optimal control, and human-robot interaction.

Pure Profile