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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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
- 1 Active
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ATD: New Approaches for Anomaly Detection in Spatiotemporal Data
National Science Foundation (NSF)
9/1/18 → 7/31/21
Project: Other project
Research Output
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A fractional differential equation model for bike share systems
Graef, J. R., Ho, S. S., Kong, L. & Wang, M., Jan 1 2019, In : Journal of Nonlinear Functional Analysis. 2019, 23.Research output: Contribution to journal › Article
1 Scopus citations -
A Martingale-based approach for flight behavior anomaly detection
Ho, S. S., Schofield, M., Sun, B., Snouffer, J. & Kirschner, J., Jun 1 2019, Proceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019. Institute of Electrical and Electronics Engineers Inc., p. 43-52 10 p. 8788752. (Proceedings - IEEE International Conference on Mobile Data Management; vol. 2019-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Automated information foraging for sensemaking
Dibona, P. & Ho, S. S., Jan 1 2019, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. Pham, T. (ed.). SPIE, 110060D. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11006).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Bayesian-based anonymization framework against background knowledge attack in continuous data publishing
Amiri, F., Yazdani, N., Shakery, A. & Ho, S. S., Dec 2019, In : Transactions on Data Privacy. 12, 3, p. 197-225 29 p.Research output: Contribution to journal › Article
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Detecting (unusual) events in urban areas using bike-sharing data
Lam, A., Schofield, M. & Shyang Ho, S., Nov 5 2019, Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Local Events and News, LENS 2019. Chen, H., Iuricich, F. & Magdy, A. (eds.). Association for Computing Machinery, Inc, a5. (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Local Events and News, LENS 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution