RESEARCH

ONGOING RESEARCH

Brain activity recognition. Computer aided disease detection and diagnosis. Robust content based image representation.

RESEARCH INTERESTS

Theory and applications of computer vision and data mining; particular application-wise interests: Recognizing brain signals, computer aided detection & diagnosis systems, mining genome sequence, intelligent transportation systems. Particular theoretical research interest: Discovering interesting patterns from big data, efficient data structures for pattern discovery from big data; modular learning; content based image retrieval, robust image features.

RESEARCH EXPERIENCE

Computer vision, machine learning, pattern recognition, medical image processing, brain activity recognition, geographic information systems, computer aided detection and diagnosis, content-based image retrieval, shape representation, image registration, data mining, neural networks, decision trees, association rule mining, visual data exploration by parallel coordinates, wavelets, database systems, statistical data analysis, traffic accident data analysis, parallel coordinate visualization for microarray data, finite difference/ element methods, fuzzy logic and control, heat transfer simulation.