Mingjun Zhong

Research Associate
School of Informatics
University of Edinburgh
Office: IF 2.54
Skype: zhong.mingjun
Email: mzhong@inf.ed.ac.uk

Me and My Research

Currently I am working on the EPSRC project "IDEAL: Intelligent Domestic Energy Advice Loop" with Charles Sutton and Nigel Goddard. Working on the Machine Learning component of the project, I am interested in inferring the details of when, how and by whom energy has been used in a house by devising probabilistic models to analyse high resolution gas and electricity data. This could be formulated as a disaggregation or a single channel Blind Source Separation problem.

My general research interests are Applied Statistics and Machine Learning. I am interested in devising probabilistic and statistical methods for understanding the patterns and phenomena observed in real-world data. I like to collaborate with scientists from various areas to understand their data.

Recent Publications

Advisors, Mentors, Collaborators