Research Interests
Network Optimization
Analysis and development of solution approaches for network flow optimization problems. The attention has been mainly focused on the minimum cost flow problem (linear and nonlinear) and different instances of the shortest path problem (the k shortest path problems, the multiobjective shortest path problem, the shortest path problem with forbidden paths, the constrained shortest path problem, the robust shortest path). In addition, the shortest path tour problem, the constrained shortest path tour problem, the steiner tree problem and the spanning tree problem have been investigated. Development of models and methods for finding optimal paths in mobile ad hoc networks.
Combinatorial Optimization
Definition, analysis and development of innovative solution approaches for combinatorial optimization problem. The attention has been focused on the rollout approaches and genetic algorithms.
Logistics
Definition, analysis and development of efficient approaches for solving problems arising in the fields of logistics and supply chain management. The attention has been focused on the plant location problem, the multiobjective uncapacitated arc routing problem, the inventory routing problem, the products allocation problem, the truck and trailer routing problem, the green vehicle routing problem, the vehicle routing problem with occasional drivers and the vehicle routing problem aided by the use of drones.
Project Management
The research has been directed toward developing models and methods for addressing the project-scheduling problem, in the presence of different types of time constraints. Some issues related to pro
Optimization and Big Data
The world is witnessing an unprecedented growth of needs in data analytics. An open issue and challenge faced by the data community is how to scale up analytic algorithms. To address this issue, optimization of large-scale data sets has attracted many researchers in recent years. The research activity has been focused on the development of fully distributed stochastic optimization algorithms for decision
Revenue Management
The research is aimed at the development of revenue management techniques for problems arising in the rental car industry, in the restaurant and advertising industries.