My research focuses on enhancing system efficiency via the development of novel mathematical models based on application of large scale optimization, machine learning, data mining, and system simulation tools. The primary innovation of my work is in the representation of network uncertainty, robustness, user behavior, and complex system interaction in civil infrastructure networks which together permit a long-term comprehensive analysis. A significant portion of my work deals with mitigating the impact of uncertainty in transportation models. Some of the research topics in which I am interested in working are listed below.
Smart Urban Network Mobility Optimization: Modeling Traffic Network Performance under Autonomous Vehicles, Technology and Information for Large-Scale Network Optimization, Evaluating Intelligent Transportation Systems under Autonomous and Connected Vehicles
Freight and Logistics: Sustainable and Stochastic Supply Chain Design, Drone based Freight Deliveries, E-Commerce and freight deliveries during and post-pandemic
Human Health, Infrastructure Resilience and Extreme Events: Interdependent Infrastructure Resilience and Human Health, Disaster Relief Supply Optimization, Humanitarian Logistics, Evacuation of Humans/Livestock in Rural Areas
Resilient Network Infrastructure Systems: Stochastic and Robust Network Optimization, Network Resilience, Algorithms for Reliable Design and Planning of Civil Infrastructure Network Systems
Pedagogy: Active Learning Techniques and Undergraduate Research for Promotion of Lifelong Learning and Innovation Capacity in Students, Innovative Content Delivery, Effective hybrid courses blending remote and classroom learning
My Google Scholar page contains my updated publication lists.