A5004030006- Transportation Planning and Optimization
- Traffic control and management
- Traffic Prediction and Management Techniques
- Ocean Acidification Effects and Responses
- Additive Manufacturing Materials and Processes
- Coral and Marine Ecosystems Studies
- Data Quality and Management
- Thermography and Photoacoustic Techniques
- Air Quality Monitoring and Forecasting
- Semantic Web and Ontologies
- Additive Manufacturing and 3D Printing Technologies
- Marine and fisheries research
Northeastern University
2020-2025
Woods Hole Oceanographic Institution
2020
Multi-Agent Reinforcement Learning (MARL) presents a promising approach for addressing the complexity of Traffic Signal Control (TSC) in urban environments. However, existing platforms MARL-based TSC research face challenges such as slow simulation speeds and convoluted, difficult-to-maintain codebases. To address these limitations, we introduce PyTSC, robust flexible environment that facilitates training evaluation MARL algorithms TSC. PyTSC integrates multiple simulators, SUMO CityFlow,...
Abstract Ocean acidification (OA) reduces the concentration of seawater carbonate ions that stony corals need to produce their calcium skeletons and is considered a significant threat functional integrity coral reef ecosystems. However, detection attribution OA impact on in nature are confounded by concurrent environmental changes, including ocean warming. Here we use numerical model isolate effects temperature show alone has caused 13 ± 3% decline skeletal density massive Porites Great...
Traffic signal control (TSC) is a challenging problem within intelligent transportation systems and has been tackled using multi-agent reinforcement learning (MARL). While centralized approaches are often infeasible for large-scale TSC problems, decentralized provide scalability but introduce new challenges, such as partial observability. Communication plays critical role in MARL, agents must learn to exchange information messages better understand the system achieve effective coordination....