I work in the research department of IBM in Singapore, where I generate insights into complex data, and create algorithms using machine learning and other modelling techniques. My work is mostly on transportation applications.
My projects include:
- Detecting and predicting road traffic congestion. My algorithms are designed to achieve high accuracy and assist real-time decision making in response to traffic incidents.
- Optimizing traffic lights. My work was presented at the Transportation Research Board Annual Gathering.
- Forecasting passenger crowding in the railway network. I am implementing a train simulator and calibrating it by mining data generated from a variety of sensors.
I do both the theoretical aspects of projects and the implementation. I have a PhD in applied mathematics from the University of Warwick, and my research and publications are concentrated in the areas of computational methods for optimization and optimal control.