My general areas of interest are computer science, artificial intelligence, and cognitive science. In particular, I have been working in pattern recognition, machine learning and machine perception including computational auditory and visual information processing for over two decades. On the basis of the aforementioned fundamental researches, I am keen on developing effective and efficient techniques for real world applications.

Major Research Topics

• Deep learning and applications
• Semi-supervised and hybrid learning
• Ensemble learning under different learning paradigms
• Robust clustering analysis for large scale data sets
• Pattern analysis and discovery
• Active learning and applications
• Information component analysis for perceptual data
• Non-verbal acoustic/speech information processing
• Biometric authentication systems and applications
• Affective computing: emotion analysis/detection/modeling/recognition
• Automatic spoken language identification
• Auditory scene categorization
• Multimodal perceptual information fusion
• Temporal information processing: modeling and analysis
• Multiscale image processing and visual scene analysis
• Visual/auditory perception modeling via neural computation
• Physiological data modeling and computation
• Multimedia/video data analysis and content-based indexing/retrieval
• Intelligent interactive computer video games

For the further information on my research interests and previous work (up to 2005), please also refer to my feature article "On the Dyanmic Pattern Analysis, Discovery and Recognition" appearing in IEEE Systems, Man, and Cybernetics Society E-Newsletter, Issue 12, September 2005, which briefly overviews most of my previous research work. Also you can visit my Publication page for more recent yet detailed information.