I am Systems Scientist with Civil and Environmental Engineering at Carnegie Mellon University (CMU). I am also affiliated with Heinz College of Information Systems and Public Policy as a faculty/Lecturer, where I teach the "Role of Emerging Mobility in Smart Cities". Prior to joining CMU, I worked as R&D Staff Scientist in Emerging Mobility Technologies at Oak Ridge National Laboratory. I received my Ph.D. in Transportation Systems Engineering from University of Virginia. During my Ph.D., I worked as a research assistant with Prof. Brian L. Smith on mobility, safety and cybersecurity aspects of connected and automated vehicles and Intelligent Transportation Systems.
My research interests include: - Cyber Physical Systems, more specifically in prototyping connected and automated vehicle (CAV) applications, cybersecurity assessment of CAVs and interconnected transportation systems and designing architectures for their resilient operation under cyberattacks. - Transportation systems analysis, including operational, safety, energy and cyber risk analysis of Intelligent Transportation Systems and CAVs. - Integration of vehicle automation and electrification. - Behavioral and Human technology interactions in virtual reality simulation and real-world environment. - Big data and predictive analytics- To infer patterns from large scale sensor and behavioral data. -Traffic Safety Modeling, including the application of applied safety analysis methodologies from Highway safety manual, applied econometrics and statistical/machine learning methods. - Travel behavior/demand modeling and shared mobility analysis of traditional modes of travel and alternative fuel/electric vehicles.
There are a thousand ways to kneel and kiss the ground. — Rumi.
Updates -04/22. Leading a special issue as a guest editor on "Human response to automated transportation systems under cyberattacks" in Frontiers in Future Transportation. https://www.frontiersin.org/research-topics/33364/.
-02/22. Active lane management and control using connected and automated vehicles in a mixed traffic environment. Forthcoming in Transportation Research Part C: Emerging Technologies.
-01/22. Inferring safety critical events from vehicle kinematics in naturalistic driving environment. Forthcoming in Journal of Intelligent Transportation Systems.
-09/21. Using behavioral data to understand shared mobility choices of electric and hybrid vehicles accepted in International Journal of Sustainable Transportation.
8/21. Spatial and unobserved heterogeneity in consumer preferences for adoption of electric and hybrid vehicles: A Bayesian hierarchical modeling approach accepted in International Journal of Sustainable Transportation, 2021. 06/21. Implication of automated merging control in a mixed and heterogenous traffic environment accepted in IEEE Intelligent Transportation Systems conference.
-06/21. Ride-hailing and taxi versus walking: Long term forecasts and implications from large-scale behavioral data accepted in Journal of Transport and Health.
-03/21 Investigating the relation between instantaneous driving decisions and safety critical events in naturalistic driving environment accepted inAccident Analysis and Prevention.
-01/21 Three first author papers to be presented at TRB 100th Annual Meeting in Jan 2021.
-11/20 Impact of cyberattacks on safety and stability of connected and automated vehicle platoons under lane changes accepted inAccident Analysis and Prevention.
-6/20 Exploratory investigation of disengagements and crashes in autonomous vehicles under mixed traffic: An endogenous switching regime framework accepted in IEEE Transactions on Intelligent Transportation Systems.
-4/20: A Bayesian modeling framework for crash severity effects of Active Traffic Management Systems accepted in Accident Analysis and Prevention -11/19: Cooperative lane control application for fully connected and automated vehicles at multilane freeways accepted in Transportation Research Part C.
-10/19: Five first author papers to be presented at TRB Annual Meeting in Jan 2020. (CAVs, Cybersecurity, AFVs).