University of Nottingham Malaysia
School of Computer Science
     
  
 

Image of Zhiyuan Chen

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.

  • CHEN ZHIYUAN, OLUGBENRO. O. SELERE and NICHOLAS LU CHEE SENG, 2016. Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model In: The Fifth International Conference on Computer Science & Computational Mathematics (ICCSCM 2016).
  • OH MEI SHIN, CHEN ZHIYUAN and DINO ISA, 2015. METHODOLOGY FOR UNDERUTILIZED CROPS IN ORDER TO INCREASE RURAL ECONOMIC GROWTH THRU ECONOMIC VALUE CHAIN PREDICTION In: First Asia Pacific Conference on Advanced Research (APCAR-2015). 300-309
  • OH MEI SHIN, CHEN ZHI YUAN and DINO ISA, 2015. Methodology for Underutilized Crops in order to increase rural economic growth thru Economic Chain Prediction Asia Pacific of Contemporary Education and Communication Technology. 1(1), ISBN: 9780994365682
  • CHEN ZHIYUAN,  FARHAD GHOLIZADEH NOURI and MEHDI MAQBOOL, 2014. Monitoring Mango Fruit Ripening after Harvest using Electronic Nose (zNoseTM) Technique In: 5th International Conference on Food Engineering and Biotechnology.
  • CHEN ZHIYUAN, LE DINH VAN KHOA, AMRIL NAZIR, EE NA TEOH and ETTIKAN KANDASAMY KARUPIAH, 2014. Exploration of the Effectiveness of Expectation Maximization Algorithm for Suspicious Transaction Detection in Anti-Money Laundering In: 2014 IEEE Conference on Open Systems.
  • CHEN ZHIYUAN and DINO ISA, 2013. Unsupervised Real Time Prediction of Faults Using the Support Vector Machine In: 19th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications,TaiPei.
  • ZHIYUAN CHEN, DINO ISA and PETER BLANCHFIELD, 2012. Study on the Correlation Coefficient of Gene Expression by Using a Hybrid Intelligent System International Journal of Computer Applications. 50(3),
  • ZHIYUAN CHEN, BAHRAN SANJABI and DINO ISA, 2012. A Location-Based User Movement Prediction Approach For Geolife Project International Journal of Computational Engineering Research (IJCER). 2(7), 16-19
  • ZHIYUAN CHEN, MARYAM TEMITAYO and DINO ISA, 2012. Pipe Flaws Detection by Using the Mindstorm Robot International Journal of Engineering Research and Applications (IJERA). 2(6),
  •  CHEN ZHIYUAN, DINO ISA and PETER BLANCHFIELD, 2010. Improve the Classification and Prediction Performance for the IP Management System in a Super-capacitor Pilot Plant International journal of Latest Trends in Computing (IJLTC). 1(2),
  • CHEN ZHIYUAN, DINO ISA and PETER BLANCHFIELD, 2010. Vectorization Algorithm for an Intelligentized System International Journal of Computer and Network Security. 2(2),
  •  CHEN ZHIYUAN, DINO ISA and PETER BLANCHFIELD, 2009. An Artificial Intelligence Methodology for Intellectual Property Managemen. In: 16th International Conference on Neural Information Processing, Workshop on Advances in Intelligent Computing
  •  CHEN ZHIYUAN, DINO ISA and PETER BLANCHFIELD, 2009. Intellectual Property Management system for the Super-capacitor Pilot Plant. In: International Conference on Artificial Intelligence
  •  CHEN ZHIYUAN, DINO ISA and PETER BLANCHFIELD, 2008. A Hybrid Data Mining and Case-Based Reasoning User Modelling System (HDCU) for Monitoring and Predicting of Blood Sugar Level. In: International Conference on Computer Science and Software Engineering
  •  CHEN ZHIYUAN, DINO ISA and PETER BLANCHFIELD, 2008. Column Vectorizing Algorithms for Support Vector Machines. In: World Congress on Engineering & Computer Science
  •  CHEN ZHIYUAN, DINO ISA and PETER BLANCHFIELD, 2008. A Hybrid Data Mining and Case-Based Reasoning User Modelling System Architecture. In: International Conference of Computational Intelligence and Intelligent Systems
  • DINO ISA, CHEN ZHIYUAN and PETER BLANCHFIELD, 2007. Data pre-processing in a Hybrid Data Mining and Case-Based Reasoning User Modelling System. In: the 3rd Malaysian Software Engineering Conference

School of Computer Science

The University of Nottingham Malaysia Campus
Jalan Broga, 43500 Semenyih
Selangor Darul Ehsan
Malaysia

telephone: +6 (03) 8924 8767
fax: +6 (03) 8924 8018

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