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Research Interests

Speech Recognition and Natural Language Processing

• Speech recognition is the process of converting spoken words into a machine-readable form. Pattern recognition theories such as the Hidden Markov Model are used to recognize words from the features of speech. Natural Language Processing is then applied to retrieve the semantics, and consider the ambiguity of a word or phrase.

Epidemiology and Mathematical Modelling

• Computer Science and Mathematical models are very useful in Epidemiology. Models of infectious diseases are currently used to analyze the rate of transmission, impact of a vaccine, and other preventative measures. Understanding how diseases spread is crutial in preventing them in our populations.

Evolutionary Algorithms

• Evolutionary Algorithms apply the biological theories of Darwinian evolution to a computer science model of a problem. Evolutionary Algorithms can be applied to a plethora of problems including graph thoery, optimization, and even scheduling.

Graph Theory and Combinatorics

• Graph Theory contains many NP-hard problems in areas such as enumeration, graph colouring, and network flow. Graph Theory has many real-world applications such as the placement of cell-phone towers, transportation networks, or even to measure an actor's prestige in Sociological study.