Supervised more than 50 M.S. Theses and of 3 Ph.D. dissertations. Some recent titles include:
- Transit networks design
- Feeder bus network design, using heuristic algorithm
- Flight rescheduling after perturbation
- Coordinated scheduling in public transportation by aim of transfer time reduce
- Trip demand models using fuzzy systems
- Traffic assignment, using fuzzy logic
- Pipeline network design in a multimode transportation system
- Applied model for railways maintenance scheduling
- A model for minor location problem in railway network
- Train scheduling using heuristic algorithms
- Optimal circulation of empty fright rail car
- Scheduling trains for maximizing timetable reliability
- Optimum railway/ roadway alignment
- Scheduling trains for maximizing timetable reliability
- Optimum railway/ roadway alignment
- Multi period network design problem
- Estimation of Link & turn Volumes in Transportation Networks Using Bluetooth and Wi-Fi Source Data
- Estimation of origin-destination matrices using link counts and partial path data
- Solving Location Problem for Vehicle Identification Sensors to Observe or Estimate Path flows in Larg-Scale Networks
- Estimation of Origin-Destination Trip Matrix Using Spatio-Temporal Data of Cell Phone Networks Collected based on the PLU method
- Optimization of empty freight railcars circulation
- Stop-skipping Strategy Based on Stop-to-stop Dependent Demand in Urban Subway Lines
- Prediction of link volume in urban traffic networks using cellular network data
- Application of Machine Learning Algorithms on Railway Track Deterioration Modeling
- Origin-Destination Matrix Adjustment using Split Ratios of Network Nodes
- Exploring the association between urban development process and its effects on transportation system parameters
- Analysis of Temporal Stability and Transferability of Trip Distribution Models Considering Urban Development Patterns
- Timetable optimization and synchronization in an urban subway network with stop-skip strategy
- Trip-Chain-Based Travel-Mode-Shares Driven Framework Using Mobile Data