My research interests are to improve safety associated with motor-vehicle transportation by addressing both active safety (increased crash avoidance) and passive safety (increased crash protection) issues through the development and application of a wide range of research methodologies. These methodologies are targeted at developing a better understanding and modeling of driver behavior, including physical and cognitive attributes, driver decision-making processes and human intention prediction. I am currently interested in applying data science to study the following topics:
- Driver state detection and prediction;
- Improve user intersection with automated vehicle technologies;
- Communication and interaction between vehicle and vulnerable road users
- Driving style classification
- Human factors issues associated with connected and automated vehicle technologies
