Smart & Sustainable Mobility
Mobility Data Science & AI
Behavioural Modelling
Driver Health, Well-being & Safety
Cognitive Ergonomics
Connected Vehicles
"The important thing is not to stop questioning. Curiosity has its own reason for existing." — Albert Einstein
At iDRIVE Lab, we believe that research insights are the tiniest fragments of actionable truth for the complex world that we live in. Our expertise covers the intersection of transportation engineering, urban planning, network science, and behavior modelling.
Smart & Sustainable Mobility
Mobility Data Science & AI
Behavioural Modelling
Driver Health, Well-being & Safety
Cognitive Ergonomics
Connected Vehicles
Intelligent Transportation Systems, Sustainable mobility transitions, Multimodal mobility
Sensor data analytics, Data fusion from multimodal sources, AI/ML for driver state monitoring.
Driver behaviour modelling, Microscopic traffic flow models.
Driver stress and fatigue monitoring, Distraction detection, Occupational health, Safety interventions.
Human-centered vehicle interfaces, Alert systems and feedback design, Human-machine interaction.
Vehicle health monitoring and analysis, Fleet telematics.
To lead transformative research in intelligent and sustainable mobility by integrating data science, artificial intelligence, and human-centered design.
iDRIVE Lab envisions a future where mobility systems are safer, more resilient, inclusive, and sustainable—enhancing human well-being and performance through a deep understanding of the interactions between people, vehicles, and real-world transport environments.