Institute of Cyberspace Technology | Academic Staff

Dr YONG Yoke Leng 

PhD (Sunway University, Malaysia)
Associate Professor 

Professional Technologist, Malaysia Board of Technologists (MBOT) 

Computer Vision, Natural Language Processing, Data Science
 
Biography

Dr Yong Yoke Leng is a Senior Lecturer at HELP University with extensive experience in teaching, research, and academic programme leadership in the field of computer science and data science. She holds a Bachelor of Computer Science (Hons) and a Master of Computer Science from the University of Malaya, Malaysia, and subsequently pursued her Doctor of Philosophy (Computing) at Sunway University. 

Dr Yong has served as Programme Leader for the Master in Data Science programme at both Sunway University and HELP University, where she was involved in programme management, curriculum development, academic quality assurance, and the coordination of postgraduate teaching and learning activities. 

As an active researcher, she has published her work in reputable academic journals and presented her research findings at national and international conferences. Her research interests include computer vision, pattern recognition, data mining, artificial intelligence, and computational finance. Her interdisciplinary interest in pattern recognition and financial markets has led her to explore charting-based forecasting and data-driven approaches to financial market analysis. 

In addition to research and programme leadership, Dr Yong is actively involved in teaching and curriculum development in artificial intelligence, data science, computer vision, and related computing disciplines. 

Research Areas

Data Forecasting, Computer Vision 

Selected Publications
Journal Articles

Ling, L., Aldoghachi, A. F., Chong, Z. X., Ho, W. Y., Yeap, S. K., Chin, R. J., Soo, E. Z., Khor, J. F., Yong, Y. L., Ling, J. L., Yan, N. S., & Ong, A. H. (2022). Addressing the clinical feasibility of adopting circulating MIRNA for breast cancer detection, monitoring and management with Artificial Intelligence and machine learning platforms.International Journal of Molecular Sciences, 23(23), 15382. 

Yong, Y. L., Lee, Y., & Ngo, D. C. L. (2019). Adaptive Detection of FOREX Repetitive Chart Patterns. Pattern Analysis and Applications, 23(3), 1277–1292.  

Yong, Y. L., Lee, Y., Gu, X., Angelov, P. P., Ngo, D. C. L., & Shafipour, E. (2018). Foreign currency exchange rate prediction using neuro-fuzzy Systems. Procedia Computer Science, 144, 232–238. 

Yong, Y. L., Lieu, S. Q., Ngo, D., & Lee, Y. (2017). FOREX Web-Based Trading Platform with E-Learning Features. Journal of Multimedia and Information Systems, 4(4), 271-278. 

Idris, M. Y. I., Leng, Y. Y., Tamil, E. M., Noor, N. M., & Razak, Z. (2009). Car Park System: A review of smart parking system and its technology. Information Technology Journal, 8(2), 101–113. 

Conference Papers

Lalmalsawmzeli, H., Garg, V., Jasser, M. B., Ajibade, S. S. M., Chua, H. N., & Leng, Y. Y. (2026, June). Biogeography Based Optimization for Minimizing Costs in Blood Supply Chains with Finite Capacity Queuing Systems. In 2026 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) (pp. 215–220). IEEE. 

Wai, H. M., Jasser, M. B., Ajibade, S. M., Chua, H. N., & Leng, Y. Y. (2026, April). Swarm Intelligence Algorithms for Enhanced Heart Disease Classification, a Survey. In 2026 IEEE 2nd International Conference on Robotics and Technologies for Industrial Automation (ROBOTHIA) (pp. 1–6). IEEE. 

Chin, Z. Y., Choo, H. S., Yong, Y. L., Razimi, U. N. A., Jasser, M. B., & Abdipoor, S. (2026, April). Urban House Price Forecasting in Malaysia Using Tree-Based Machine Learning Models. In 2026 IEEE 2nd International Conference on Robotics and Technologies for Industrial Automation (ROBOTHIA) (pp. 1–6). IEEE. 

Hew, S. Y., Ajibade, S.-S. M., Jasser, M. B., Issa, B., Yong, Y. L., Bashir, F. M., Falude, E., & Dodo, Y. A. (2024). Evaluation of KNN-NMF algorithm for recommendation systems in e-commerce. In 2024 IEEE 12th Conference on Systems, Process & Control (ICSPC) (pp. 328–332). IEEE. 

Ibrahim, M., Hadi, B. M., Jasser, M. B., Ajibade, S.-S. M., Mohd Ramly, A., & Yong, Y. L. (2024). Enhancing Phishing Universal Resource Locator Detection Systems Using Hybrid Machine Learning Classifiers and Data Balancing Techniques. In Proceedings of the 12th IEEE Conference on Systems, Process & Control (ICSPC), Malacca, Malaysia. 

Yap, J. J., Yong, Y. L., Jasser, M. B., Ajibade, S.-S. M., & Al-Hadi, I. A. (2024). Improving object detection in videos: A comprehensive evaluation of faster R-CNN employed in partial occlusion handling. 2024 20th IEEE International Colloquium on Signal Processing & Its Applications (CSPA).  

Lee, J. S., Yong, Y. L., Hoo, M. H., & Khor, K. C. (2022). A Comparison of Machine Learning Models for Currency Pair Forecasting. In Intelligent Computing & Optimization: Proceedings of the 5th International Conference on Intelligent Computing and Optimization 2022 (ICO2022) (pp. 499–506).

Won, W. C., Yong, Y. L., & Khor, K. C. (2021). Object detection and recognition for visually impaired users: A transfer learning approach. 2021 2nd International Conference on Artificial Intelligence and Data Sciences (AiDAS), 1–6.

Yong, Y. L., Ngo, D. C., & Lee, Y. (2017). E-Learning FOREX Trading Platform for Beginner. 13th International Conference on Multimedia Information Technology and Applications, 186–189. 

Yong, Y. L., Ngo, D. C., & Lee, Y. (2017). Detection of repetitive forex chart patterns. Lecture Notes in Computer Science, 395–402.  

Yong, Y. L., Ngo, D. C. L., & Lee, Y. (2015). Technical indicators for forex forecasting: A preliminary study. Advances in Swarm and Computational Intelligence, 87–97.  

Yong, Y. L., Lee, Y., & Ngo, D. (2015). An investigation into the recurring patterns of Forex Time Series Data. 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS). 

Idris, M. Y. I., Yong, Y. L., Tamil, E. M., & Haron, N. Z. (2008). Parking guidance system using RFID and image processing techniques in WSN environment. 4th International Colloquium on Signal Processing and its Applications, 1–6.

Books

Thida, M., Yong, Y. L., Climent-Pérez, P., Eng, H., & Remagnino, P. (2013). A literature review on video analytics of crowded scenes. In P. K. Atrey, M. S. Kankanhalli, & A. Cavallaro (Eds.), Intelligent Multimedia Surveillance (pp. 17–36). Springer Berlin Heidelberg.