Megh Bahadur KC

Transportation Engineer | Data Analyst | Research Assistant

Welcome

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I am a Ph.D. candidate in Civil Engineering, specializing in transportation systems and smart mobility. My research focuses on electric vehicle integration, transit scheduling optimization, and data-driven decision-making for sustainable transportation planning. Through a combination of operations research, Machine/ Deep Reinforcement Learning, and simulation modeling, I aim to develop innovative solutions for the evolving challenges in public transit and urban mobility.

Explore my work to learn more about my academic journey, research projects, and publications.

Hydrogen fuel cell Bus Wirelessly charging EB Wireless charging test track prototype UB ITE presentation Hairpin bend Mode choice poster Presentation recognition certificate
Appointment to the TRB Committee on Transportation and Sustainability, 2025

Highlights

πŸš€ Featured Projects & Repositories

Explore my open-source contributions and research tools

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NREL-eFRISM

Electric Freight Truck Route Optimization with optimal charging station location selection in US freight networks using Variable Neighborhood Search metaheuristics.

Route Optimization Charging Scheduling Cost Minimization
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School Transport Electrification

Two-stage model for solving large school networks with routing and scheduling optimization for electric school bus systems with on-route charging plans.

Route Optimization Charging Management Metaheuristics
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Space Time Prism Accessibility Model

Understanding daily travel behavior of people with and without disabilities using Space Time Prism Model with automated ArcGIS Pro algorithms in arcpy environment.

Space Time Prism ArcPy Coding DPPA
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DRL Transit Electrification Framework

PPO-based Deep Reinforcement Learning Framework for simultaneous fleet optimization and charging scheduling for multi-line bus transit systems in dynamic environments.

DRL Agent MILP Uncertainty
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Smart Charging & V2G Framework

Novel framework for integrated optimization of charging and V2G for electric school buses, considering time-of-use electricity prices and operational constraints.

Smart Charging V2G Revenue Optimization
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Advanced US Freight Analytics Dashboard

An interactive, data-driven dashboard for comprehensive analysis of US freight transportation patterns across rail and port modes. This enhanced visualization platform provides deep insights into seasonal trends, performance metrics, and predictive analytics for freight transportation.

Data Visualization Freight Analytics Interactive Dashboard

News/Highlights

Hosted a Data Visualization Dashboard: Advanced US Freight Analytics Dashboard

Check out my recent research news feature: USU Engineering Scholar Showcases Transportation Research

TRB 2025 School Bus Electrification Research: Integrated Routing & Scheduling of Electric School Buses

TRB 2025 Vehicle-to-Grid Research: Exploring Vehicle-to-Grid Integration of Electric School Buses

TRB 2024 Podium Presentation: Inclusive transportation planning research

TRB 2024 Bus Electrification Research: Integrated Route Optimization and Charging

TRB 2024 YMC- S&R Presentation: Mode Choice behavior of People with disabilities

Short Video: School bus electrification research showcase video description

Research Impact

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Publications Timeline

Research Highlights

17 Conference Presentations
6+ Journal Publications
3 Major Research Projects
NREL Collaboration