Zhiyuan Chen

Contact

• workRoom BB70 Block B
  Malaysia Campus
  Jalan Broga
  43500 Semenyih
  Selangor Darul Ehsan
  Malaysia
• work+6 (03) 8924 8141
• Zhiyuan.Chen@nottingham.edu.my

Biography

Dr. Chen ZhiYuan currently is an Associate Professor with the University of Nottingham, School of Computer Science in Malaysia. She is a Senior Fellow of the Higher Education Academy, UK since July 2022 and is a British Computer Society (BCS) Professional member. Dr Chen worked as Principal Consultant for many government agencies, research organizations and industries, such as with MIMOS at the Accelerative Technology Lab, TM R&D, Crops for the Future and Tentacle technologies. She received the MPhil and a PhD in Computer Science from the University of Nottingham in 2007 and 2011 respectively. Before joining UNM, 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 keynote Speaker and 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

• KAR MING SHAW, PHAIK EONG POH, YONG KUEN HO and ZHIYUAN CHEN, 2024. Modeling the anaerobic digestion of palm oil mill effluent via Physics-Informed deep learning Chemical Engineering Journal. 485,
• YIFAN CHEN, HAIQI ZHU and ZHIYUAN CHEN, 2024. Multi-DGI: Multi-head Pooling Deep Graph Infomax for Human Activity Recognition Mobile Networks and Applications.
• WEI XIANG LIM and ZHIYUAN CHEN, 2024. Enhancing deep learning pre-trained networks on diabetic retinopathy fundus photographs with SLIC-G Medical & Biological Engineering & Computing.
• MOHD MAIZAN FISHOL HAMDI, ZHIYUAN CHEN and MILENA RADENKOVIC, 2024. Mitigating Cache Pollution Attack Using Deep Learning in Named Data Networking (NDN) Lecture Notes in Networks and Systems. 1017,

• View all 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, AI in chemical engineering, agricultural maturity analysis to pipeline flaw detection.

Past Research

Research Grants

• 2022-2025 PI for "Enhancing Asset Allocation with deep learning/machine learning models for Robo-Advisor development" project from HY ALPHA SDN. BHD, Industry Fund.

• 2021-2022 PI for "Unsupervised Learning Techniques for Anti-Money Laundering" project from BAE System Applied Intelligence, Industry Fund.

• 2019-2022 PI for "Determining optimal lag time selection function with novel machine learning strategies for better agricultural commodity prices forecasting in Malaysia" project from MOHE FRGS Fund: RM 121,800.

• 2017-2019 PI for "Pipe Crack Detection System by Using the Non-destructive Testing based Mindstorm Robot with Multiple NXT Sensors" project from MOSTI Science Fund: RM 181,000.

• 2012-2016 PI for "Economic Value Prediction System for Under-Utilised Crops" project from CFFRC: RM 292,400.

• 2015-2016 PI for "The study of peer assessment for group learning activities" project from T&L Grant: RM 13,100.

• 2015-2016 PI for "Novel Machine Learning Strategies for GST Impact on Agricultural Commodity Prices by Monitoring the Short-Term Fluctuations in Malaysia" project from Faculty of Science Pump Priming Grant: RM 10,000.

• 2014-2015 PI for "Unsupervised Real Time Prediction of Faults Using the Support Vector Machine" project from Faculty of Science Conference Fund: RM 4,000.

• 2013-2014 PI for "The Unsupervised learning model of the support vector machine for money laundering detection" project from 3rd Called Collaboration with Public Universities and Agencies: RM 9,500.

• 2013-2015 Co-I for "Validating the Alzheimer's Disease Evoked Potential Test (ADEPT) task as a potential diagnostic tool for Alzheimer's Disease" project from MOSTI Science Fund: RM 312,748.

• 2012-2014 Co-I for "Unsupervised real time prediction of faults using an efficient strategy for QP in the support vector machine to implement incremental training for efficient classification and regression" project from MOSTI Science Fund: RM 175,000.

Future Research

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

• KAR MING SHAW, PHAIK EONG POH, YONG KUEN HO and ZHIYUAN CHEN, 2024. Modeling the anaerobic digestion of palm oil mill effluent via Physics-Informed deep learning Chemical Engineering Journal. 485,
• YIFAN CHEN, HAIQI ZHU and ZHIYUAN CHEN, 2024. Multi-DGI: Multi-head Pooling Deep Graph Infomax for Human Activity Recognition Mobile Networks and Applications.
• WEI XIANG LIM and ZHIYUAN CHEN, 2024. Enhancing deep learning pre-trained networks on diabetic retinopathy fundus photographs with SLIC-G Medical & Biological Engineering & Computing.
• MOHD MAIZAN FISHOL HAMDI, ZHIYUAN CHEN and MILENA RADENKOVIC, 2024. Mitigating Cache Pollution Attack Using Deep Learning in Named Data Networking (NDN) Lecture Notes in Networks and Systems. 1017,
• HUNG YI HIA, KASHWIN SELVANATHAN, KISHAAN RAGU, SARA KAZEMI YAZDI and ZHIYUAN CHEN, 2023. Development of a Methane Emission Prediction Tool (POMEP178) for Palm Oil Mill Effluent Using Gaussian Process Regression Process Integration and Optimization for Sustainability.
• WONG WENG SAN, ZHIYUAN CHEN and TEO WING LEONG, 2023. An Investigation of the Relationship Between Agricultural Price and Its Determinants in Malaysia In: the 9th International Conference on Computational Science and Technology (ICCST 2022). 477-487
• ZHIYUAN CHEN, OLUGBENRO. O. SELERE and NICHOLAS LU CHEE SENG, 2023. Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model Lecture Notes in Electrical Engineering. 983, 569–581
• YAN ZHENG LIU and ZHIYUAN CHEN, 2023. Prediction of biochemical oxygen demand with genetic algorithm-based support vector regression Water Quality Research Journal.
• KASHWIN SELVANATHAN, KISHAAN RAGU, HIA HUNG YI, SARA KAZEMI YAZD, ZHIYUAN CHEN and REZA GODARY, 2023. Assessing machine learning tools for methane emission prediction from POME treatment in Malaysia Journal of Water and Climate Change.
• WALEED MAHMOUD SOLIMAN, ZHIYUAN CHEN, COLIN JOHNSON and SABRINA WONG, 2023. ETF Markets’ Prediction & Assets Management Platform Using Probabilistic Autoregressive Recurrent Networks In: The Eurasia Proceedings of Science Technology Engineering and Mathematics 2023. 23. 485-494
• KISHAAN RAGU, ONG QIAN YEE, KIEW XIN YUN, HIA HUNG YI, KASHWIN SELVANATHAN, SARA KAZEMI YAZDI, ZHIYUAN CHEN, CHAN YI JING and REZA GODARY, 2023. Feature Importance Study for Biogas Production from POME Treatment Plants Using Out-of-Bag Permutation. In: KEVIN DAIMI, ABEER ALSADOON and LUIS COELHO, eds., Cutting Edge Applications of Computational Intelligence Tools and Techniques
• CHUNZHI YI, BAICHUN WEI, JIANFEI ZHU, CHANGBING CHEN, YUEFAN WANG, ZHIYUAN CHEN, YIFAN HUANG and FENG JIANG, 2023. Mordo2: A Personalization Framework for Silent Command Recognition IEEE Transactions on Neural Systems and Rehabilitation Engineering.
• YIFAN CHEN and ZHIYUAN CHEN, 2023. Synergistic Similarity Graph Construction (SSGC) for Steel Plate Fault Diagnosis with Graph Attention Networks In: 2023 IEEE 6th International Conference on Knowledge Innovation and Invention (ICKII).
• QICHAO CHEN, ZHIYUAN CHEN, TOMAS MAUL, KUAN LI and JIANPING YIN, 2023. Outlier Exposure with Focal Loss for Out-of-distribution Detection In: ACAI '23: Proceedings of the 2023 6th International Conference on Algorithms, Computing and Artificial Intelligence. 248-253
• CHANGJIANG HUANG, ZHIYUAN CHEN and WALEED MAHMOUD SOLIMAN, 2023. Stock Price Prediction with FinBERT and RNN In: ICACS '23: Proceedings of the 7th International Conference on Algorithms, Computing and Systems. 74-79
• YIYANG WANG, ZHIYUAN CHEN and YIFAN CHEN, 2023. Equipment Fault Detection with a Hybrid LSTM-WDCNN Model In: ICACS '23: Proceedings of the 7th International Conference on Algorithms, Computing and Systems. 53-59
• MENGZE HONG, ZHIYUAN CHEN, WALEED MAHMOUD SOLIMAN and KUN ZHANG, 2023. A Comparative Study of LSTM, LightGBM, and Autoregressive Model in Narrow-Based ETF Market Prediction with Multi-Ticker Models In: MLMI '23: Proceedings of the 6th International Conference on Machine Learning and Machine Intelligence. 10-16
• LIM, WEI XIANG, CHEN, ZHIYUAN and AHMED, AMR, 2022. The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING.
• SIZHOU WEI, ZHIYUAN CHEN, SENTHIL KUMAR ARUMUGASAMY and IRENE MEI LENG CHEW, 2022. Data augmentation and machine learning techniques for control strategy development in bio-polymerization process Environmental Science and Ecotechnology. 11,
• CHUNZHI YI, SEUNGMIN RHO, BAICHUN WEI, CHIFU YANG, ZHEN DING, ZHIYUAN CHEN and FENG JIANG, 2022. Detecting and Correcting IMU Movements During Joint Angle Estimation IEEE Transactions on Instrumentation and Measurement.
• CHUNZHI YI, BAICHUN WEI, ZHEN DING, CHIFU YANG and ZHIYUAN CHEN, 2022. A Self-Aligned Method of IMU-based 3-DoF Lower-Limb Joint Angle Estimation IEEE Transactions on Instrumentation and Measurement. 3194935
• CHUNZHI YI, BAICHUN WEI, JIANFEI ZHU, SEUNGMIN RHO, ZHIYUAN CHEN and FENG JIANG, 2022. Mordo: Silent Command Recognition Through Lightweight Around-Ear Biosensors IEEE Internet of Things Journal.
• JIN JUBO, WAN ABDUL MALEK WAN ABDULLAH, ZHIYUAN CHEN and NORIZAN BINTI ANWAR, 2022. Application Analysis of Machine Learning in Intelligent Operation and Maintenance System In: 2022 6th International Conference on Communication and Information Systems (ICCIS).
• ZHIYUAN CHEN, SALMA ELSAID, DOREEN YING YING SIM, TOMAS MAUL and IMAN YI LIAO, 2022. Detection of Oil Palm Fresh Fruit Bunches (FFBS) with Computer Vision Models In: 2022 International Conference on Mechanical, Automation and Electrical Engineering (CMAEE).
• SENTHIL KUMAR ARUMUGASAMY, ZHIYUAN CHEN, DINH VAN-KHOA LE and HARSHINI PAKALAPATI, 2021. Comparison between Artificial Neural Networks and Support Vector Machine Modeling for Polycaprolactone Synthesis via Enzyme Catalyzed Polymerization Process Integration and Optimization for Sustainability. 5(1),
• WAI MUN CHAN, DINH VAN-KHOA LE, ZHIYUAN CHEN, JULLY TAN and IRENE MEI LENG CHEW, 2021. Resource Allocation in Multiple Energy-Integrated Biorefinery Using Neuroevolution and Mathematical Optimization Process Integration and Optimization for Sustainability. 5(1),
• YI, CHUNZHI, JIANG, FENG, YANG, CHIFU, ZHIYUAN CHEN, DING, ZHEN and LIU, JIE, 2021. Reference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel Method Sensors. 21(5), 1813
• FENG JIANG, ZHIYUAN CHEN, AMRIL NAZIR, WUZHEN SHI, LIM WEI XIANG, SHAOHUI LIU and SEUNGMIN RHO, 2021. Combining Fields of Experts (FoE) and K-SVD methods in pursuing natural image priors Journal of Visual Communication and Image Representation. 78,
• ZHIYUAN CHEN, WALEED SOLIMAN, AMRIL NAZIR and MOHAMMAD SHORFUZZAMAN, 2021. Variational Autoencoders and Wasserstein Generative Adversarial Networks for Improving the Anti-Money Laundering Process IEEE Access. 9446893
• KASRA BABAEI, ZHIYUAN CHEN and TOMAS MAUL, 2021. AEGR: a simple approach to gradient reversal in autoencoders for network anomaly detection Soft Computing. 25, 15269–15280
• JIAWEI CHONG, ZHIYUAN CHEN, MEISHIN OH and AMRIL NAZIR, 2021. An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning Journal of System and Management Sciences (JSMS). 11(4), 146-166
• ZHIYUAN CHEN, HOWE SENG GOH, KAI LING SIN, KELLY LIM, NICOLE KA HEI CHUNG and XIN YU LIEW, 2021. Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques Advances in Science Technology and Engineering Systems Journal. 6(4), 376-384
• KAI SHENG OOI, ZHIYUAN CHEN, PHAIK EONG POH and JIAN CUI, 2021. BOD5 Prediction Using machine learning methods Water Supply. 2021
• ALVIN CHAIDRATA, MARIYAM IMTHA SHAFEEU, SZE KER CHEW, ZHIYUAN CHEN, JIN SHENG CHAM, ZI LI YONG, UEN HSIEH YAP, DANIA IMANINA BINTI and KAMARUL BAHRIN, 2021. Intent Matching based Customer Services Chatbot with Natural Language Understanding In: 2021 5th International Conference on Communication and Information Systems (ICCIS).
• BRENDAN NICHOLAS CHEONG HUI SIA, ZE WEI KOH, MICHAEL CHUNG, ZHIYUAN CHEN, SUNG HUI CHUA, DARMESH A L GANESAN, MIN YEI KUAH and KAI JUN TEY, 2021. CRYPTOCOINOPOLY: A Real Time Online Multiplayer Board Game In: 2021 14th International Conference on Advanced Computer Theory and Engineering (ICACTE). pp. 27-31
• DINH VAN-KHOA LE, ZHIYUAN CHEN and RAJPRASAD RAJKUMAR, 2020. Multi-sensors in-line inspection robot for pipe flaws detection IET Science, Measurement & Technology. 14(1), 71-82
• MEI SHINOH, ZHIYUAN CHEN, EBRAHIM JAHANSHIRI, DINO ISA and YEE WAN WONG, 2020. An economic feasibility assessment framework for underutilised crops using Support Vector Machine Computers and Electronics in Agriculture. 168, 105116
• WANG, W, ZHOU, F, CHANG, Y, CUI, J, HE, D, DU, J, CHAN, A, YAO, D, LI, Y, CHEN, Z and KARIMAN, K, 2020. Effects of soil amendments on microbial activities in a typical Cd-contaminated purple field soil, Southwestern China Bulletin of Environmental Contamination and Toxicology. 104(3), 380-385
• LE, DINH VAN-KHOA, CHEN, ZHIYUAN and RAJKUMAR, RAJPRASAD, 2020. Multi-sensors in-line inspection robot for pipe flaws detection IET SCIENCE MEASUREMENT & TECHNOLOGY. 14(1), 71-82
• DINH VAN-KHOA LE, ZHIYUAN CHEN, WONG YEE WAN and DINO ISA, 2020. A complete online-SVM pipeline for case-based reasoning system: a study on pipe defect detection system Soft Computing.
• KASRA BABAEI, ZHIYUAN CHEN and TOMAS MAUL, 2020. A Study of Fraud Types, Challenges and Detection Approaches in Telecommunication Journal of Information Systems and Telecommunication.
• JUYAN CUI, JIAN CUI, YING PEN, DONGRUI YAO, ANDY CHAN, ZHIYUAN CHEN and YUEMING CHEN, 2020. Sources and trends of oxidized and reduced nitrogen wet deposition in a typical medium-sized city of eastern China during 2010–2016 Science of the Total Environment. 744, 140558
• ZHIYUAN CHEN and SIN KAI LING, 2020. Long Short-Term Memory Model Based Agriculture Commodity Price Prediction Application In: ITCC 2020: 2020 2nd International Conference on Information Technology and Computer Communications. 43-49
• ZHIYUAN CHEN, WONG WENG SAN and TEO WING LEONG, 2020. Determining Optimal Lag Time Selection Function with Novel Machine Learning Strategies for Better Agricultural Commodity Prices Forecasting in Malaysia In: ITCC 2020: 2020 2nd International Conference on Information Technology and Computer Communications. 37–42
• ZHANG, WEI, GAO, XIAN-ZHONG, YANG, CHI-FU, JIANG, FENG and CHEN, ZHIYUAN, 2020. A object detection and tracking method for security in intelligence of unmanned surface vehicles JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING.
• ZHIYUAN CHEN, LE DINH VAN KHOA, EE NA TEOH, AMRIL NAZIR, ETTIKAN KANDASAMY KARUPPIAH and KIM SIM LAM, 2018. Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review Knowledge and Information Systems. pp 1-41
• ZHIYUAN CHEN and LE DINH VAN KHOAM, 2018. Fusion Sensors of In-line Inspection Robot for Defect Detection In: World Conference on Robotics & Artificial Intelligence.
• CHEN ZHIYUAN, KASRA BABAEI and TOMAS MAUL, 2018. A review of fraud detection systems in telecommunications In: ASEAN Emerging Researchers Conference 2018.
• CHEN ZHIYUAN, LE DINH VAN KHOA and LEE SOON BOON, 2017. A Hybrid Model of Differential Evolution with Neural Network on Lag Time Selection for Agricultural Price Time Series Forecasting Lecture Notes in Computer Science. 10645, pp 155-167
• TRAN TRONG TIN, CHEN ZHIYUAN and K. R. SELVARAJ, 2017. Smart-Learning Networked Controllers for Centralized Air-Conditioning Systems Using Model-View-Controller Model Lecture Notes in Computer Science. 10645, pp 737-749
• 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
• MEI SHIN OH, ZHIYUAN CHEN, EBRAHIM JAHANSHIRI and DINO ISA, An Economic Feasibility Assessment Framework for Underutilised Crops using Support Vector Machine Computers and Electronics in Agriculture.