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”