• 1736 Citations
  • 14 h-Index
19992021
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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

George Mason University

George Mason University

Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Satellites Engineering & Materials Science
Labels Engineering & Materials Science
Support vector machines Engineering & Materials Science
Trajectories Engineering & Materials Science
Data mining Engineering & Materials Science
Parking Engineering & Materials Science
Waveguides Engineering & Materials Science
Classifiers Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2021

Research Output 1999 2019

Structure Learning
Local Structure
Bayesian networks
Bayesian Networks
Data-driven

Visual Analytics for Real-Time Flight Behavior Threat Assessment

Sun, B., Zielonka, E., Fritz, A., Schofield, M., Ringel, B., Armstrong, B., Ho, S. S., Breitzman, A., Snouffer, J., Kirschner, J. & Davis, K., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3607-3612 6 p. 8622086. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Rowan University

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

Controllers
Data visualization
Radar systems
Air
Learning systems

A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection

Chai, W. H., Ho, S. S., Goh, C. K., Chia, L. T. & Quek, H. C., Jul 19 2017, Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017. Institute of Electrical and Electronics Engineers Inc., p. 13-16 4 p. 7986761

Rowan University

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

Image resolution
Data storage equipment
Optical resolving power
Lighting
Inspection
3 Citations (Scopus)

Structural knowledge transfer for learning Sum-Product Networks

Zhao, J. & Ho, S. S., Apr 15 2017, In : Knowledge-Based Systems. 122, p. 159-166 8 p.

Rowan University

Research output: Contribution to journalArticle

Convolution
Network performance
Neural networks
Knowledge transfer
Transfer learning
22 Citations (Scopus)

An efficient regularized K-nearest neighbor based weighted twin support vector regression

Tanveer, M., Shubham, K., Aldhaifallah, M. & Ho, S. S., Feb 15 2016, In : Knowledge-Based Systems. 94, p. 70-87 18 p.

Research output: Contribution to journalArticle

Linear equations
Pattern recognition
Support vector regression
K-nearest neighbor
Costs