• Investigating multi-input (array) speech signal processing, feature extraction and model adaptation strategies for recognition in hostile environments.
• Design of intelligent voice-activated interfaces using state-of-the-art speech recognition and language understanding technology.
• Investigations of articulatory and auditory physical modelling for improved synthesis, recognition and contributions to speech and hearing biomedical research.
• Statistical signal processing,  system modelling and indentification as applied to biomedical signals (EEG, EMG, ECG).
  
• Application of advanced pattern recognition, prosodic and linguistic knowledge to robust speaker identification and verification by voice for biometric based security.
• Research into system security by multi-modal biometrics: fusion of speaker and face recognition.
• Investigation of non-English speech recognition by exploiting knowledge of the target language phonetic and prosodic structure ( Mandarin/Cantonese, German/Italian, Malay, Hindi/Tamil)
• Incorporation of phonetic and linguistic knowledge sources to improve large task domain, very large vocabulary, continuous, spontaneous speech recognition, language modelling and language understanding.
• Modelling the dynamics and "true nature" of speech using advanced statistical, adaptive filtering, pattern recognition and articifial neural network techniques to develop alternatives and enhancements to the Hidden Markov Model (HMM) paradigm.

Postgraduate(Masters, PhD) research in signal and information processing.