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Zhiyuan Chen

Assistant Professor, Faculty of Science

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Biography

Dr. Chen ZhiYuan currently is an Assistant Professor with the University of Nottingham, School of Computer Science in Malaysia and a Principal Consultant with MIMOS at the Accelerative Technology Lab. She received the MPhil and a PhD in Computer Science from the University of Nottingham in 2007 and 2011 respectively. Before joining UNMC, she has been a research associate in the UK Horizon Digital Economy Research Institute. Her research interests are in the area of computer science, machine learning, data mining, user modelling and artificial intelligence. She has published many research papers in the above research area and served as session chair for many international conferences in computer science and engineering.

Expertise Summary

Dr. Chen ZhiYuan has expertise in machine learning, data mining, user modelling, simulation and artificial intelligence. She has a particular interest in kernel methods, especially using support vector machines to solve real world problems, such as in anti-money laundering and medical diagnosis. Her research focuses on basic and applied problems in machine learning, understanding how machine learning can help with automated learning, reasoning and decision-making for diverse applications ranging from the knowledge management, economic modelling, agricultural maturity analysis, to pipeline flaw detection,

Teaching Summary

Modules

G54SIM - Simulation for Computer Scientists G52HCI - Human Computer Interaction G52GRP - Software Engineering Group Project G52GUI - Graphical User Interfaces G53ELC - Enterprise Level Computing G53MLE - Machine Learning G54IHC - Introduction to Human-Computer Interaction G54MET - Methods for Understanding Users in Computer Science

Research Summary

Her major research interest is in how artificial intelligence techniques can facilitate the knowledge discovery and decision making process that is complete and efficient retrieval of relevant… read more

Recent Publications

Current Research

Her major research interest is in how artificial intelligence techniques can facilitate the knowledge discovery and decision making process that is complete and efficient retrieval of relevant information from rapidly growing volume of data. Her work addresses the challenge of combining machine learning, data mining and user modelling for different domains. She has a particular interest in kernel methods, especially using support vector machines to solve real world problems, such as in anti-money laundering and medical diagnosis. Her research focuses on basic and applied problems in machine learning, understanding how machine learning can help with automated learning, reasoning and decision-making for diverse applications ranging from the knowledge management, economic modelling, agricultural maturity analysis, to pipeline flaw detection,

Future Research

She would welcome any discussions on the general areas that have outlined in the "Current Research" interests.

School of Computer Science

University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

For all enquires please visit:
www.nottingham.ac.uk/enquire