Current
Edge Caching for Vehicular Networks (VANET)
Learning-based content caching strategies for vehicular ad-hoc networks, integrating SDN/NDN paradigms, clustering, and spiking neural networks.
Intelligent Transport Systems
Vision and learning for traffic.
Projects
Current
Reinforcement Learning for Traffic Signal Control
Deep and multi-agent reinforcement learning for intelligent traffic signal control, trained in rich 3D simulation and transferred to real-world networks.
Publications
- PUVC: A novel position-based VANET caching framework built upon UAVs associationLoughborough University Research Repository (Loughborough University) · 2026
- When Memory Matters: An Evaluation of LSTM-Based Multi-Agent Learning for Multi-Intersection Traffic Signal ControlWhite Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 2026
- LKSVC: A Novel VANET Caching Method by Integrating Location-Based K-Means Clustering into Spiking Neural NetworkLecture notes on data engineering and communications technologies · 2025
- PSNVC: A Novel Physical-Based Vanet Caching Framework by Integrating SDN and NDN Paradigm2025
- Ssvc: A Novel Vanet Caching Framework of Integrating Network Slicing and Spiking Neural NetworkSSRN Electronic Journal · 2025
- DPNVC: A novel density-based probability VANET caching framework built upon the NDNSimulation Modelling Practice and Theory · 2025
- Deep Reinforcement Learning Traffic Signal Controller for Large, Real-World Traffic NetworksWomen in engineering and science · 2025
- DPN: Density-Based Probability VANET Caching Method Leveraging with NDN Concept2024
- LSSDVC: A Location-based VANET Caching Method with Semi-SDN Paradigm2024
- Synthesizing Traffic Datasets Using Graph Neural NetworksarXiv (Cornell University) · 2023
- Traffic3d: An Open-Source Traffic-Based Interactive Framework to Train Ai AgentsSSRN Electronic Journal · 2022
- Fully-Autonomous, Vision-based Traffic Signal Control: From Simulation to Reality2022
- Multi-Agent Deep Reinforcement Learning for Traffic optimization through Multiple Road Intersections using Live Camera Feed2020
- Traffic3D: A Rich 3D-Traffic Environment to Train Intelligent AgentsLecture notes in computer science · 2019
- A Deep Reinforcement Learning Agent for Traffic Intersection Control Optimization2019
- Traffic3D: A New Traffic Simulation Paradigm2019
- Deep Reinforcement Learning for Autonomous Traffic Light Control2018