معرفی
Andrea Araldo is an Associate Professor at Telecom SudParis within the SAMOVAR research lab, specializing in NeSS (Networks, Systems, and Services). His work focuses on optimizing transportation systems, edge computing, and network resource allocation using advanced techniques like reinforcement learning and game theory. He has published extensively on topics including demand-responsive transit, vehicular cloud computing, and multi-tenant edge resource management. His research addresses challenges in urban mobility equity, infrastructure resilience, and energy-efficient network design.
Research Interests:
- Transportation systems optimization
- Edge computing architectures
- Reinforcement learning applications
- Network resource allocation
- Urban accessibility equity
- Autonomous mobility systems
Recent Trends in Publications: Recent work emphasizes adaptive transport network design during disruptions, equity-driven public transit planning, and vehicular cloud alternatives to traditional edge computing. He explores hybrid optimization methods combining reinforcement learning with classical algorithms for virtual network embedding and resource scheduling.
Grants & Collaborations: Engages in multi-institutional projects involving institutions like Université Paris-Saclay and industry partnerships. Active in conferences such as TRB, IEEE ICC, and ACM SIGCOMM.
Labs/Teams: Leads projects within SAMOVAR lab focusing on smart transportation and edge computing systems.
