Megh Bahadur KC

About Me

Megh Bahadur KC Profile

Education

Ph.D. in Civil Engineering

University at Buffalo, SUNY Ongoing GPA: 4.00
Dissertation: Accelerating Bus Transport Electrification through Optimization and Reinforcement Learning Strategies
Major Interdepartmental Courses:
  • CS6830 Data Science in Practice
  • STAT6645 Mathematical Methods for Data Science
  • DATA5600 Machine Learning
  • LAEP6300 GIS for Environmental Planning

M.Sc. in Construction Management

Pokhara University, Nepal 2020 GPA: 3.95
Thesis: Existing Bidding Trends and Consequences on Procurement Performances of Transport Infrastructure at Road Division
Major Courses:
  • MGT511 Project Planning and Control
  • STAT505 Statistical Analysis
  • FIN521 Financial Management

B.E. in Civil Engineering

Tribhuvan University, Nepal 2013 Ranked Top 4
Academic Achievement: Graduated among the top 4 students in the program

Work Experience

  • Graduate Research Assistant, University at Buffalo, SUNY (01/2025 - present)
    Research Focus: Optimization and Deep Reinforcement Learning applications for transit operation and Charging Infrastructure Planning
    Key Contributions:
    • Developed a novel optimization framework MIP, VNS heuristic and DRL-PPO algorithm for bus fleet electrification considering real time uncertainties.
    Grant Proposal Writing:
    • NYSERDA RFP 5965-Electric School Bus Transport Support Contractor $ 1 million 2025-208, PI- Dr. Ziqi Song
    • DOE, JOET, Concept paper in response to FOA expanding E-mobility Solutions through Electrified School Buses $250,000

  • Graduate Intern (PhD), National Renewable Energy Laboratory (NREL) (05/2024 - 01/2025)
    Research Focus: INFORMES: INtermodal Freight Optimization for a Resilient Mobility Energy System
    Key Contributions:
    • SMART 2.0 Freight project: developed electric variant of NREL- open-sourced FReight Integrated Simulation Model (FRISM) for heterogeneous mixed fleet combination using VNS metaheuristics.
    • Coded & Implemented FAF Flow Containerization Modeling & calibration model at National Scale.
    • Formulated methodological framework for county level freight flow disaggregation model and developed an algorithm.
    • Created & hosted interactive Container Freight data visualization Dashboard

  • Graduate Research Assistant, Utah State University (08/2021 - 01/2025)
    Research Focus: Convex optimization, heuristic algorithms and Inclusive transport planning
    Key Contributions:
    • Produced a enhanced multistage Mult objective linear /nonlinear optimization model with achievement of efficient recharging and scheduling of EVs in 10,000 node networks in 2 stages.
    • Automated a space time prism (STP) modeling by developing ArcGIS Pro based algorithm in python using arcpy environment to measure accessibility for people with disabilities.
    • Authored Six Journal articles.

  • Assistant Professor, Pokhara University, Nepal (03/2020 - 08/2021)

  • Highway Engineer, Ministry of Physical Infrastructure and Transport, Nepal (07/2015 - 08/2021)

Research Interests

  • Operation Research in Transportation
  • Electric Vehicle (EV) Routing and Charging Infrastructures
  • Artificial Intelligence (AI), Reinforcement Learning (RL), and Deep Reinforcement Learning (DRL) in Public Transit
  • Data Science and Machine Learning in Transportation
  • Travel Behavior Modeling and Analysis
  • Inclusive Transportation Planning & Policy