Biography
Ir. Professor Sim Kwan Yong is Deputy Pro Vice-Chancellor (Academic) at Swinburne University of Technology Sarawak Campus.
His previous appointments include Executive Dean (Academic)—Interim, Head of School for School of Engineering, Associate Dean at the Faculty of Engineering, Computing and Science, Swinburne Sarawak, Malaysia Research Assessment (MyRA) Lead Auditor, and Engineering Accreditation Council Panel of Evaluator.
He is a registered Professional Engineer (P.Eng.) with the Board of Engineers Malaysia (BEM), Chartered Engineer (CEng) with the U.K. Engineering Council.
Research Interests
- System Testing and Analysis
- Software Vulnerability
- Machine Learning
- Time Series Analysis and Forecasting
Professional Memberships
- Professional Engineer, Board of Engineers Malaysia
- Chartered Engineer, UK Engineering Council
- Member, Institution of Engineering and Technology (IET)
PhD/Master by Research Opportunities
Potential research higher degree candidates are welcome to enquire about Master or PhD opportunities in the areas listed above. Please e-mail [email protected] for more information.
Research Grants
- Fundamental Research Grant Scheme (FRGS), Ministry of Higher Education Malaysia, 2020-2022
Title: Scalable Time Series Pattern Recognition on IoT Sensor Data by Using Magnitude Based Dimension Reduction
Research Area: Data Science, IoT
Project Status: On-going
Project Role: Co-Investigator
- Industry Client, 2019-2020
Title: Drone Automation
Area: Drone, Automation
Project Status: Completed
Project Role: Project Member
- Fundamental Research Grant Scheme (FRGS), Ministry of Higher Education Malaysia, 2019-2021
Title: Blocking Bugs from Blockchain: Formulating New Reverse Metamorphic Testing Method for Error Trapping in Blockchain based Software
Research Area: Data Science
Project Status: Completed
Project Role: Principal Investigator
- Melbourne-Sarawak Collaborative Research Development Scheme, 2015-2018
Title: Testing of an Optimal Prediction Model for Oil Drilling
Research Area: Data Science, Software Testing
Project Status: Completed
Project Role: Co-Investigator
Publications
- Kanwal, A., Lau, M.F., Ng, S.P., Sim, K.Y., and Chandrasekaran, S., 2022. BiCuDNNLSTM-1dCNN—A hybrid deep learning-based predictive model for stock price prediction. Expert Systems with Applications, 202, p.117123.
- Tariq, S., Sim, K.H. and Sim, K.Y., 2022, March. Dynamic Time Series Data Reduction for NILM Appliance Identification. In 2022 the 6th International Conference on Innovation in Artificial Intelligence (ICIAI) (pp. 105-111).
- Chai, S.S., Cheah, W.L., Goh, K.L., Chang, Y.H.R., Sim, K.Y., and Chin, K.O., 2021. A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia. Computational and mathematical methods in medicine, 2021.
- Chai, S.S., Goh, K.L., Chang, Y.H.R. and Sim, K.Y., 2021. Coupling Normalization with Moving Window in Backpropagation Neural Network (BNN) for Passive Microwave Soil Moisture Retrieval. International Journal of Computational Intelligence Systems, 14(1), pp.1-11.
