Selected Recent Publications

(Last five years only)

  • Frank, M. R., Obradovich, N., Sun, L., Woon, W. L., LeVeck, B. L., & Rahwan, I. (2018). Detecting reciprocity at a global scale. Science advances, 4(1), eaao5348.
  • Papadopoulos, S., Azar, E., Woon, W. L., & Kontokosta, C. E. (2018). Evaluation of tree-based ensemble learning algorithms for building energy performance estimation. Journal of Building Performance Simulation, 11(3), 322-332.
  • Tahboub, A. M., El Moursi, M. S., Woon, W. L., & Kirtley, J. L. (2018). Multiobjective Dynamic VAR Planning Strategy With Different Shunt Compensation Technologies. IEEE Transactions on Power Systems, 33(3), 2429-2439.
  • Alshehhi, R., Marpu, P. R., Woon, W. L., & Dalla Mura, M. (2017). Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 139-149.
  • Neupane, B., Woon, W. L., & Aung, Z. (2017). Ensemble prediction model with expert selection for electricity price forecasting. Energies, 10(1), 77.
  • Fatemeh Jahedpari, Talal Rahwan, Sattar Hashemi, Tomasz Michalak, Marina de Vos, Julian Padget and Wei Lee Woon (2017). Online Prediction via Continuous Artificial Prediction Markets. IEEE Intelligent Systems, 32(1), 61-68.
  • Karakatsanis, I., AlKhader, W., MacCrory, F., Alibasic, A., Omar, M. A., Aung, Z., & Woon, W. L. (2017). Data mining approach to monitoring the requirements of the job market: A case study. Information Systems, 65, 1-6.
  • Neupane B, Woon WL, Aung Z. Ensemble Prediction Model with Expert Selection for Electricity Price Forecasting. Energies. 2017; 10(1):77.
  • Woon, W. L., Aung, Z., Kramer, O., & Madnick, S. (2017). Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy. Springer, LNAI Vol 10691.
  • AlShebli, B., Alibasic, A., Woon, W. L., & Svetinovic, D. (2017, November). Kanban-based framework for analysis of heterogeneous academic data. In Telecommunication Forum (TELFOR), 2017 25th (pp. 1-4). IEEE.
  • Al-Shehhi, A. M., Woon, W. L., & Aung, Z. (2017, December). Investigate human behavior during ramadan through network structure: Evidence from Twitter. In Industrial Engineering and Engineering Management (IEEM), 2017 IEEE International Conference on (pp. 823-827). IEEE.
  • Woon, W. L., El-Hag, A., & Harbaji, M. (2016). Machine learning techniques for robust classification of partial discharges in oil–paper insulation systems. IET Science, Measurement & Technology, 10(3), 221-227.
  • Woon, W. L., & Kramer, O. (2016, July). Enhanced SVR ensembles for wind power prediction. In Neural Networks (IJCNN), 2016 International Joint Conference on (pp. 2743-2748). IEEE.
  • E. Casagrande; E. Arnautovic; W. L. Woon; H. H. Zeineldin; D. Svetinovic, "Semiautomatic System Domain Data Analysis: A Smart Grid Feasibility Case Study," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.PP, no.99, pp.1-11
  • Al Shehhi, R., Marpu, P. R., & Woon, W. L. (2016). An Automatic Cognitive Graph-Based Segmentation for Detection of Blood Vessels in Retinal Images. Mathematical Problems in Engineering, 2016.
  • Ahmed Mohammed, A., & Aung, Z. (2016). Ensemble Learning Approach for Probabilistic Forecasting of Solar Power Generation. Energies, 9(12), 1017.
  • Sanchez, A., Li, D., Aung, Z., & Williams, J. R. (2016). Cyber Security of Smart Meters. Smart Grid Handbook.
  • M.A. Azim, Z. Aung, W. Xiao, V. Khadkikar, and A. Jamalipour, “SPSA-NC: Simultaneous perturbation stochastic approximation localization based on neighbor confidence,” Wireless Communications and Mobile Computing, in press.
  • M.A. Faisal, Z. Aung, J. Williams and A. Sanchez, “Data-stream-based intrusion detection system for advanced metering infrastructure in smart grid: A feasibility study,” IEEE Systems Journal, 9:31–44, 2015.
  • W.L. Woon, K.D. Wong, Z. Aung, and D. Svetinovic. "Changes in occupational skills - a case study using non-negative matrix factorization". In 22nd International Conference on Neural Information Processing (ICONIP 2015). Springer (LNCS), Istanbul, Turkey, November 2015.
  • M. Dina, W.L. Woon, and Z. Aung. Soil property prediction: An extreme learning machine approach. In 22nd International Conference on Neural Information Processing (ICONIP 2015). Springer (LNCS), Istanbul, Turkey, November 2015.
  • B. Joshi, P. Budhathoki, W.L. Woon, and D. Svetinovic. Software clone detection using clustering approach. In 22nd International Conference on Neural Information Processing (ICONIP 2015). Springer (LNCS), Istanbul, Turkey, November 2015.
  • Masri, D., Zeineldin, H. and Woon, W. L. (2015, June). Electricity price and demand forecasting under smart grid environment. In Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on (pp. 1956-1960). IEEE.
  • Prajowal Manandhar, Zeyar Aung, Wei Lee Woon, and Prashanth Marpu. Random forest ensemble learning for object recognition using rgb features along object edge. In 4th International Conference on Communications and Information Technology (ICCIT). IEEE, Abu Dhabi, UAE, 2015.
  • Dina Masri, Zeyar Aung, and Woon Wei Lee. Image classification using appearance based features. In IEEE International Conference on Innovations in Information Technology (IIT). IEEE, Dubai, UAE, 2015.
  • Nadyah Obaid Al Abdouli, Zeyar Aung, Wei Lee Woon, and Davor Svetinovic. Tackling class imbalance problem in binary classification using augmented neighborhood cleaning algorithm. In Information Science and Applications, pages 827–834. Springer, 2015.
  • Erik Casagrande, Selamawit Woldeamlak, Davor Svetinovic, Wei Lee Woon, and Hatem Zeineldin (2014) "NLP-KAOS for research-intensive complex system: Smart metering case study evaluation". IEEE Transactions on Software Engineering, 40(10), 941-956.
  • M.A. Faisal, Z. Aung, W.L. Woon, D. Svetinovic, "Augmented Query Strategies for Active Learning in Stream Data Mining", in Proc. ICONIP 2014, Kuching, Malaysia, 2014.
  • W.L. Woon, K.D. Wong, Z. Aung, D. Svetinovic, "Document Versioning Using Feature Space Distances", in Proc. ICONIP 2014, Kuching, Malaysia, 2014.
  • Richard Oentaryo, Ee-Peng Lim, Feida Zhu, David Lo, Michael Finegold, Clifton Phua, Eng-Yeow Cheu, Ghim-Eng Yap, Kelvin Sim, Minh-Nhut Nguyen, Kasun Perera, Bijay Neupane, Mustafa Faisal, Zeyar Aung, Wei Lee Woon, Chen Wei, Dhaval Patel, and Daniel Berrar, "Detecting fraudulent patterns in online advertising: A data mining approach," Journal of Machine Learning Research, 15(Jan):99-140, 2014.
  • E. Casagrande, W.L. Woon, H.H. Zeineldin, and D. Svetinovic, "A Differential Sequence Component Protection Scheme for Microgrids with Inverter-based Distributed Generators", IEEE Transactions on Smart Grid, 5(1):29-37, 2014
  • D. Li, Z. Aung, J. Williams, and A. Sanchez, "No peeking: Privacy-preserving demand response system in smart grids," International Journal of Parallel, Emergent and Distributed Systems, 29:290-315, 2014.
  • Joshi, B., Baluyan H., Hinai, A. Al., Woon, W.L. "Automatic rooftop detection using a two-stage classification", 2014, UKSIM-AMSS 16th International Conference on Modelling and Simulation, Cambridge, UK (Accepted).
  • N. Liu, W.L. Woon, Z. Aung, and A. Afshari, "Handling class imbalance in customer behavior prediction," 2nd International Symposium on Big Data and Data Analytics in Collaboration (BDDAC'14), Minneapolis, Minnesota, USA (Accepted).
  • D. Li, Z. Aung, J. Williams, and A. Sanchez, "P2DR: Privacy-preserving demand response system in smart grids," 2014 IEEE International Conference on Computing, Networking and Communications (ICNC'14), Honolulu, Hawaii, USA (Accepted).
  • M.A. Faisal, Z. Aung, J. Williams, and A. Sanchez, "Data-stream-based intrusion detection system for advanced metering infrastructure in smart grid: A feasibility study," IEEE Systems Journal (Article in Press).
  • D. Li, Z. Aung, J. Williams, and A. Sanchez, "Efficient and fault-diagnosable authentication architecture for AMI in smart grid," Security and Communication Networks (Article in Press).
  • Hayk Baluyan, Bikash Joshi, Amer Al Hinai, and Wei Lee Woon, “Novel Approach for Rooftop Detection Using Support Vector Machine,” ISRN Machine Vision, vol. 2013, Article ID 819768, 11 pages, 2013. doi:10.1155/2013/819768 (pdf)
  • T.C. Lin, W.L. Woon, J.C. Peng, "Music Visualization Using Audio Features and Tags", in Proc. ECML/PKDD 2013 Workshop on Music Machine Learning, Prague, Czech Republic, 2013.
  • A. Sawas, W.L. Woon, V.R. Pandi, and H.H. Zeineldin, "A Multistage Passive Islanding Detection Method for Synchronous-Based Distributed Generation," IEEE Transactions on Smart Grid (2nd Review), 2013.
  • K.S. Perera, B. Neupane, M.A. Faisal, Z. Aung, and W. L. Woon, "A novel ensemble learning-based approach for click fraud detection in mobile advertising," in Proc. 2013 International Conference on Mining Intelligence and Knowledge Exploration (MIKE'13), LNCS 8284, pages 370-382, 2013.
  • W. Shen, V. Babushkin, Z. Aung, and W.L. Woon, "An Ensemble Model for Day-ahead Electricity Demand Time Series Forecasting," in Proc. ACM Conference on Future Energy Systems (e-Energy'13), Berkeley, California, USA, pages 51-62, 2013.
  • E. Casagrande, W.L. Woon, H.H. Zeineldin, and N. Kanan, "A Data Mining Approach to Fault Detection for Isolated Inverter-based Microgrids”, IET Generation, Transmission & Distribution, 7(7):745-754, 2013.
  • Z. Aung, "Database Systems for the Smart Gird," in Smart Grid: Opportunities, Developments and Trends (edited by Shawkat Ali), Springer, pages 151-168, 2013.
  • D. Li, Z. Aung, S. Sampalli, J. Williams, and A. Sanchez, "Privacy Preservation Scheme for Multicast Communications in Smart Buildings of the Smart Grid," Smart Grid and Renewable Energy, 4: 313-324, 2013.
  • Z. Aung and K.K. Nyunt, "Constructive Knowledge Management Model and Information Retrieval Methods for Software Engineering," in Software Development Techniques for Constructive Information Systems Design (edited by Khalid A. Buragga and Noor Zaman), pp. 377-393, IGI Global Publishing, 2013.
  • Z. Aung, "Discussion on the manuscript 'Short-term forecasting of the daily load curve for residential electricity usage in the smart grid' by S. Ghosh et al.," Applied Stochastic Models in Business and Industry, 29:624-625, 2013.
  • M.A. Azim and Z. Aung, "Simultaneous perturbation stochastic approximation-based localization algorithms for mobile devices," in Proc. 6th IEEE International Conference on Developments in eSystems Engineering (DeSE'13), pages 1-6, 2013.
  • I. Khamis and Z. Aung, "Outlier preprocessing in wireless sensor networks: A two-layered ellipse approach," in Proc. 6th IEEE International Conference on Developments in eSystems Engineering (DeSE'13), page 1-6, 2013.
  • K.A. Ahmed, Z. Aung, and D. Svetinovic, "Smart grid wireless network security requirements analysis," in Proc. 2013 IEEE International Conference on Cyber, Physical and Social Computing (CPSCom'13), pages 871-878, 2013, 2013.