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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Collaborations and top research areas from the last five years
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New Approaches for Dynamic Graph Anomaly Detection, Prediction, and Explanation
National Science Foundation (NSF)
9/1/22 → 8/31/25
Project: Other project
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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
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An Injury-Severity-Prediction-Driven Accident Prevention System
Alicioglu, G., Sun, B. & Ho, S. S., Jun 1 2022, In: Sustainability (Switzerland). 14, 11, 6569.Research output: Contribution to journal › Article › peer-review
Open Access -
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 -
Autoencoder Ensemble Method for Botnets Detection on IOT Devices
Arroyo, S. E. & Shyang Ho, S., 2022, Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. Wani, M. A., Kantardzic, M., Palade, V., Neagu, D., Yang, L. & Chan, K-Y. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 715-720 6 p. (Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Hierarchical Bitmap Indexing for Range Queries on Multidimensional Arrays
Krčál, L., Ho, S. S. & Holub, J., 2022, Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Proceedings. Bhattacharya, A., Lee Mong Li, J., Agrawal, D., Reddy, P. K., Mohania, M., Mondal, A., Goyal, V. & Uday Kiran, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 509-525 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13245 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Representation recovery via L1-norm minimization with corrupted data
Chai, W. H., Ho, S. S. & Quek, H. C., May 2022, In: Information Sciences. 595, p. 395-426 32 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations