Welcome
Download CVPh.D. candidate in Civil Engineering at the University at Buffalo, specializing in sustainable public transport, freight systems and intelligent mobility through optimization, AI, machine learning and deep reinforcement learning.
Over 8 years of combined research, academic and industry experience developing efficient optimization tools, predictive models, techno-economic analyses, advanced data analytics and inclusive planning/policies at NREL, NYCDOT, Utah State University and the Department of Roads.
Proven achievements include 7+ peer-reviewed publications, 17+ conference presentations, 2 internships, multiple awards and fellowships, effective undergraduate and graduate level teaching and hands-on project management as a Highway Engineer in transport infrastructure design and implementation.
Please explore my work to learn more about my academic journey, research projects, and publications.
Highlights Featured
🐍 Latest Python Package Release
Professional-grade freight analytics package now available on PyPI
freight-analytics-dashboard
Complete package ecosystem for advanced US freight transportation analytics with interactive dashboards, CLI tools, and programmatic API.
Complete Package Ecosystem
🚀 Quick Start
pip install freight-analytics-dashboard
freight-dashboard
🚀 Featured Projects & Repositories
Explore my open-source contributions and research tools
NREL-eFRISM
Electric Freight Truck Route Optimization with optimal charging station location selection in US freight networks using Variable Neighborhood Search metaheuristics.
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.
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.
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.
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.
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.
News/Highlights
September 11th Memorial Fellowship Award: CSEE student Megh KC awarded a prestigious Fellowship by NYMTC
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
Project Gallery
Research Impact Impact
Citations Growth
Line chart showing cumulative citation counts by year.
Publications Timeline
Bar chart showing cumulative total publications by year.