Last Updated (09/20/2018): My research interests are diverse - ranging from safety, travel behavior, and sustainability implications of disruptive connected & automated vehicle technologies to more traditional traffic safety and mobility analysis. I've high affinity for advanced statistical and econometric methods; so almost all of my research till date is quantitatively driven. The indispensable opportunity of working under the renowned supervision of Dr. Asad J Khattak and Dr. David L Greene during my Ph.D. program at UT exposed me to emerging connected vehicles, transportation safety, travel behavior, vehicle fuel economy and alternative fuel vehicles infrastructure related serious research - spanning over policy & engineering realms.
A Characterization of my Research Interests/Contributions (ML - Machine Learning; ITS - Intelligent Transportation Systems; ATIS - Advanced Traveler Information Systems; SPF - Safety Performance Functions; Infra - Infrastructure (Disclaimer: The figure shall not be used, copied, or reproduced without prior permission from the author). |
Rapid technological developments in recent years have enabled collection of countless terabytes of spatio-temporal data about vehicle and human movement. By using appropriate predictive data analytic techniques, and sophisticated number crunching methods, my key interest lies in combining emerging Big data streams with traditional transportation data to prospect opportunities for designing proactive transportation systems. As one example, my PhD dissertation focused on harnessing big data for characterizing driving volatility in instantaneous driving decisions at several hierarchies of the traffic ecosystem, and identifying its implications for connected and automated vehicles (PDF).
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As a lead research assistant at UT, I was majorly associated with variety of sensational projects below:
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Study of Driving Volatility in Connected & Cooperative Vehicle Systems |
Sponsor: U.S. National Science Foundation | 2015-2018 PI: Dr. Asad J Khattak Advanced Analytics for Vulnerable Road User Scenarios | Collaborative Sciences Center for Road Safety | U.S. National Transportation Center | 2017-2022 Sponsor: U.S. Department of Transportation Co-sponsor: Tennessee Department of Transportation UT PI: Dr. Asad J Khattak Big Data for Safety Monitoring, Assessment, & Improvement| Major Research Initiative | Southeastern Transportation Center | 2015-2017 Sponsor: U.S. Department of Transportation PI: Dr. Asad J Khattak Crash Modification Factors & the Highway Safety Manual| Major Research Initiative | Southeastern Transportation Center | 2015-2017 Sponsor: U.S. Department of Transportation PI: Dr. Asad J Khattak Highway Safety Manual, Bayesian Non-Linear Safety Performance Functions & Roadway Calibration Factors| Southeastern Transportation Center | 2016-2018 Sponsor: Tennessee Department of Transportation PI: Dr. Asad J Khattak Safety & Travel Time Reliability: Analyzing Large-Scale Truck Involved Crashes | U.S. National Transportation Center | 2015-2017 Sponsor: U.S. Department of Transportation PI: Dr. Asad J Khattak Infrastructure Planning Tools for Deployment of Alternative Fuels Infrastructure | 2015-2017 Sponsors: U.S. Department of Transportation Oak Ridge National Laboratory PI: Drs. David L Greene & Asad J Khattak Analyzing & Predicting within Household Fuel Economy to Support Vehicle Purchasing Decisions | 2015-2016 Sponsors: U.S. Department of Transportation Oak Ridge National Laboratory PI: Drs. David L Greene & Asad J Khattak |
Disclaimer: All the official logos and graphics used are intellectual property of any of the following concerned departments: National Science Foundation, U.S. Department of Transportation, Tennessee Department of Transportation, U.S. Department of Energy, & Oak Ridge National Laboratory.