Lecturer (higher education)
Status:Employed Department:School of Artifical Intelligence and Automation Discipline:Control Theory and Engineering
Zuogong Yue, Assistant Professor at School of Artificial Intelligence and Automation. His major interestes include network inference, system identification, signal processing and machine learning. He focuses on analysis methods and algorithms for sequential data or time series. He also gets involved in several applications to interdisciplinary research.
The ongoing projects:
It mainly studies how to use dynamical system theory, system identification, and machine learning to solve network inference from time series. It aims to provide theoretical foundations for networked dynamical system modelling, analysis and control.
Large-scale System Identification
It focuses on using large-scale Bayesian learning for time series modelling. It also includes large-scale sparse learning problems, which play a critical role in methods for network inference.
Unsupervised Learning for Sequential Data/Time Series
Now mainly time-series clustering.
And, interdisciplinary applications.
Zhejiang University  Mechatronics Engineering  Undergraduate  Bachelor's degree
Hong Kong University of Science and Technology  Mechanical Engineering  Postgraduate  MPhil in Engineering
Universite du Luxembourg  System Control and Computation  Postgraduate (Doctoral)  Docteur en Sciences de l'Ingenieur Luxembourg Centre for Systems Biomedicine (LCSB)
Luxembourg Centre for Systems Biomedicine Postdoctoral Research Associate
University of New South Wales School of Electrical Engineering and Telecommunications Postdoctoral Fellow
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