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:
    • Data Science in Practice [CS6830]
    • Mathematical Methods for Data Science [STAT6645]
    • Machine Learning [DATA5600]
    • GIS for Environmental Planning [LAEP6300]
  • 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:
    • Project Planning and Control [MGT511]
    • Statistical Analysis [STAT505]
    • Financial Management [FIN521]
  • B.E. in Civil Engineering, Tribhuvan University, Nepal (2013, ranked top 4)

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