Shen Shyang Ho

    • 2075 Citations
    • 17 h-Index
    19992021

    Research output per year

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    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

    doctorate, George Mason University

    Master, George Mason University

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    Projects

    Research Output

  • 1 Scopus citations

    A Martingale-based approach for flight behavior anomaly detection

    Ho, S. S. & Sun, B., 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).

    Rowan University

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Automated information foraging for sensemaking

    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).

    Rowan University

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Detecting (unusual) events in urban areas using bike-sharing data

    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).

    Rowan University

    Research output: Chapter in Book/Report/Conference proceedingConference contribution