I am a PhD student in the Intelligent Transportation Systems (ITS) group at the Technical University of Denmark (DTU). My main supervisors are Ravi Seshadri , Filipe Rodrigues and Carlos M. Lima Azevedo. My PhD project is funded by the DREMTS project (Demand-Responsive Electrified Multi-modal Transit Systems), a collaborative initiative between DTU and KTH Royal Institute of Technology.
Research
My research focuses on design and constrol of demand-responsive mobility services through machine learning and network optimization. Recent research interests includes:
News
- : Seminar at KTH Royal Institute of Technology — “Bridging Demand and Supply: Learning-Based Control for Next-Generation Mobility Systems” (Stockholm, Sweden)
- : “Beyond the Vehicle Routing Problem: Design of Temporal Networks for Demand-Responsive Transport” to be presented at ICORES (Marbella, Spain)
- : Visiting Prof. Zhengliang Ma's Lab , KTH Royal Institute of Technology (Stockholm, Sweden)
- : Visiting MIT Department of Civil and Environmental Engineering (Boston, USA)
- : “Deep Reinforcement Learning for Day-to-Day Dynamic Tolling in Tradable Credit Systems” presented at TRB (Washington DC, USA)
- : “Joint Design of Conventional Public Transport Network and Mobility-on-Demand” presented at EWGT (Lund, Sweden)
- : “Reinforcement Learning for Dynamic Tolling in Tradable Credit Systems” presented at MFTS (Crete, Greece)
- : “The Impact of COVID-19 on Human Mobility and Social Equity in New York City” presented at AAG (Denver, US)
Publications
Beyond the Vehicle Routing Problem: Design of Temporal Networks for Demand-Responsive Transport
Proceedings of International Conference on Operations Research and Enterprise Systems (ICORES 2026)
Deep Reinforcement Learning for Day-to-Day Dynamic Tolling in Tradable Credit Schemes
Transportmetrica B: Transport Dynamics (2025)
Joint Design of Conventional Public Transport Network and Mobility on Demand
Proceedings of the European Working Group on Transportation (EWGT 2024)