Area of research
Industrial and Manufacturing Engineering · Automotive Engineering
Research interest
Research interests include Scheduling and Optimization Algorithms, Assembly Line Balancing Optimization, Electric Vehicles and Infrastructure, and Advanced Battery Technologies Research.
C2SLM: A Correlation-based Clustering-assisted Sparse Learning Model for Electric Vehicle Market Demand Forecasting
Combining predictive and prescriptive techniques for optimizing electric vehicle fleet charging
Drivers and implications of combined investment in renewables and energy storage in the residential sector
Optimization of Multiport DC Fast Charging Stations Operating With Power Cap Policy
Analyzing Quality of Service and Operation Costs of a Multi-port DC Fast Charging Station
A Data Mining Based Solution Method for Flow Shop Scheduling Problems
Modeling and Analysis of a Fast Charging Station and Evaluation of Service Quality for Electric Vehicles
Managing load congestion in electric vehicle charging stations under power demand uncertainty
Advanced constraint propagation for the combined car sequencing and level scheduling problem
Multi-criteria alternative-fuel technology selection using interval-valued intuitionistic fuzzy sets
An iterated beam search algorithm for the green vehicle routing problem
Alternative-Fuel Vehicle Adoption in Service Fleets: Impact Evaluation Through Optimization Modeling
Multi-criteria evaluation of alternative-fuel vehicles via a hierarchical hesitant fuzzy linguistic model