My interests are interaction learning, speech and multimodal technology. Please see the following link http://www.macs.hw.ac.uk/~vtr1/
I specialize in data-driven machine learning approaches for sequential decision making as applied to interactive systems, including human-robot interaction, spoken dialogue systems (aka. conversational agents), multimodal output generation, decision support and multi-agent systems for computational sustainability. I currently supervise 3 MSc, 3 PhD students and 2 postdoctoral researchers in these areas.
Potential Research topics for MSc/EngD:
1. Strategic Interaction: Using advanced machine learning methods, such as approximate DEC-POMDPs, for effective human-robot teamwork.
2. Cognitive Interfaces: Develop human-robot interfaces which can adapt to the cognitive load of the user, as estimated from multimodal sensor data.
3. Deep Learning for Open Domain Interaction: Investigate Deep Neural Networks to learn optimal interaction control from unlabelled data.
4. Situated Output Generation: Develop a data-driven framework for multi-modal output generation (including language) for Human-Robot Interaction.