Projects per year
Personal profile
Research interests
Research Expertise:
Data Mining | Artificial Intelligence | Machine Learning | Pattern Recognition
My current research interests are: transfer learning, one-shot learning, computational creativity, spatiotemporal data mining, privacy issues in data mining, machine learning on network/graph data. My projects and investigations are both research-driven and application-driven. The application-driven investigations utilize real-world data such as mobile data from smartphones, crowdsourced sensor data collected using smartphone, factory sensor data, text data (from internet), audio data, image data, and satellite data.
Member of:
Association for Computing Machinery
Institute of Electrical and Electronics Engineers
Honors and Awards:
NASA Postdoctoral Fellowship, 2007-2009.
Recent Academic Projects:
2017 SURP projects: “Histogram-based Conformal Set Predictor with Application to Trajectory-based Object Similarity Search” and “A Knowledge Transfer Framework for Computational Creativity with Application to Music Generation”
Education/Academic qualification
Computer Science, doctorate, George Mason University
Computer Science, Master, George Mason University
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Projects
- 1 Finished
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ATD: New Approaches for Anomaly Detection in Spatiotemporal Data
National Science Foundation (NSF)
9/1/18 → 1/31/22
Project: Other project
Research output
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A Novel Quasi-Newton Method for Composite Convex Minimization
Chai, W. H., Ho, S. S. & Quek, H. C., Feb 2022, In: Pattern Recognition. 122, 108281.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Comparison of One-Stage Object Detection Models for Weed Detection in Mulched Onions
Sanchez, P. R., Zhang, H., Ho, S. S. & De Padua, E., 2021, IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc., (IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Distributed machine learning for energy trading in electric distribution system of the future
Wang, N., Li, J., Ho, S. S. & Qiu, C., Jan 1 2021, In: Electricity Journal. 34, 1, 106883.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds
Nguyen, H. D., Khan, M. S., Kaegi, N., Ho, S. S., Moore, J., Borys, L. & Lavalva, L., 2021, Proceedings - 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence, ICTAI 2021. IEEE Computer Society, p. 719-723 5 p. (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; vol. 2021-November).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Handling Rebalancing Problem in Shared Mobility Services via Reinforcement Learning-based Incentive Mechanism
Schofield, M., Ho, S. S. & Wang, N., Sep 19 2021, 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc., p. 3381-3386 6 p. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; vol. 2021-September).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution