On their own, traffic accidents cause 1.3 million fatalities every year – and improper situational awareness is often a major cause. This project aims to exploit big spatio-temporal data to design intelligent techniques for scheduling and offloading tasks to the cloud and peer vehicles. This will ultimately meet the Quality of Service (QoS) requirements of time-critical road safety applications and increase situational awareness by automatically identifying unsafe road conditions and risky driving behaviors – and sending alerts in real time to affected vehicles.
Required knowledge
Required knowledge
Essential
- First class Honors or Masters degree including substantial research project, GPA 80%+ from a reputed university
- Refereed publications including journal or conference of high repute
Desirable
- Background in Machine Learning, Algorithms and Data Structures
