Research
Research Interests
Intersection of Operations Research, Machine Learning and Behavioral Modeling
Choice-based optimization models for transportation
Integrating preferences of users (shippers, carriers, passengers etc.) into decision making models
Prediction-based real-time optimization
Stochastic and dynamic optimization models
Intermodal freight transportation: coordination between several entities in the system (operators, freight forwarders etc.)
Robustness towards uncertainty in supply, demand, and operation of the (automated) equipments, vehicles, vessels etc.
Sustainable Transportation and Logistics over Water
Postdocs:
Breno Alves Beirigo, Optimization and Learning for transport and logistics operations, within TRiLOGy project, Nov 2020 - ongoing
Completed:
Jishnu Sreekantan Nair, Agent-based models for evacuation of large ships, with Austin Kana and Javier Alonso-Mora, Jan 2021 - Jan 2022
PhD students:
Yimeng Zhang, Collaborative Planning for Synchromodal Transport: Multi-objective optimization models with preferences, Sep 2019 - ongoing
Adrien Nicolet, Logistics model for improving the efficiency of hinterland transportation - within NOVIMOVE project, Oct 2020 - ongoing
Pedro Zattoni Scroccaro, Online optimization methods - within the Cohesion project on Artificial Intelligence for Sustainable Real-time Transportation Systems, with Peyman Mohajerin Esfahani, Oct 2020 - ongoing
Cigdem Karademir, Dynamic and Stochastic Fleet Management models -within TRiLOGy project, Jan 2021 - ongoing
Graduated:
Rie B. Larsen, Predictive Synchromodality for more Efficient Container Transportation - within COMET-PS project, defended in Sep 2022
Wenjing Guo, Optimization of Synchromodal Matching Platforms under Uncertainties, defended in Nov 2020
Mazen Danaf, Online Discrete Choice Models: Applications in Smart Mobility, completed June 2019, MIT (co-supervised with Prof. Moshe Ben-Akiva
Xiang Song, PhD Thesis, Personalization of Future Urban Mobility, completed August 2018, MIT (co-supervised with Prof. Moshe Ben-Akiva).
Research projects:
TRiLOGy (NWO Blauwe Route project): Sustainable Transportation and Logistics over Water: Electrification, Automation and Optimization
Project leader
Co-applicants: Javier Alonso-Mora, Rudy Negenborn, Robert Babuska
Industrial partners: AMS, Zoev City, Gemeente Amsterdam, DEMCON and Flying Fish
The focus of my group: Strategic and Operational Level Fleet Management Models
Start date: Oct 1, 2020
New project: PATH2Zero: PAving THe way towards Zero Emission and RObust inland shipping
NWA Zero Emission Inland Shipping
Close collaboration with with Rob Zuidwijk from Erasmus University.
Transport workpackage where we will address strategic, tactical and operational level decisions for transport and energy systems.
I will hire a PhD student soon.
Timeline: 2023-2028
NOVIMOVE (H2020): Novel inland waterway transport concepts for moving freight effectively
WP2 on New port & river logistics operations with Edwin van Hassel (U Antwerp)
The focus of my group: Optimization models for transport operations through the Rhine-Alpine corridor with incorporation on behavioral models regarding modal split across different alternatives
Start date: June 1, 2020
Artificial Intelligence for Sustainable Real-time Transportation Systems (TU DELFT - 3mE Cohesion Project):
with Peyman Mohajerin Esfahani
Application of imitation learning ideas in a model-based setting in transportation applications.
Start date: Oct 1, 2020
Crowd behavior modeling (CBM) of ultra large passenger ships (TU DELFT - 3mE Cohesion Project):
with Austin Kana and Javier Alonso-Mora
My focus: Route choice modeling of people on board during evacuation & agent-based simulation
Timeline: Jan 2021 - Jan 2022
COMET-PS: Complexity Methods for Synchromodality (NWO project)
Lead the project on the TU Delft side
PhD student (Rie Larsen) on predictive models for synchromodal transportation
Closely collaborating with: CWI, TNO, CTT (Combi Terminal Twente), Port of Amsterdam
Timeline: 2018-2022