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Leandro Parada

ORCID: 0000-0003-0571-0178
Observed ORCID: 0000-0003-0571-0178
OpenAlex ID: A5073749950
Wind farm layout optimization using a Gaussian-based wake model
2017 · Leandro Parada, Carlos Herrera, et al. · Renewable Energy · 201
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning
2023 · Eduardo Candela, Olivier Doustaly, et al. · Artificial Intelligence · 49
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real
2022 · Eduardo Candela, Leandro Parada, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 44
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Assessing the energy benefit of using a wind turbine micro-siting model
2017 · Leandro Parada, Carlos Herrera, et al. · Renewable Energy · 29
Safe and efficient manoeuvring for emergency vehicles in autonomous traffic using multi-agent proximal policy optimisation
2023 · Leandro Parada, Eduardo Candela, et al. · Transportmetrica A Transport Science · 21
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A Federated Learning-Based Framework for Ride-sourcing Traffic Demand Prediction
2023 · Simon Hu, Yin Ye, et al. · IEEE Transactions on Vehicular Technology · 15
IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving
2025 · Leandro Parada, Kevin Yu, et al. · IEEE Robotics and Automation Letters · 12
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Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem
2022 · Elvin Ngu, Leandro Parada, et al. · Transportation Research Record Journal of the Transportation Research Board · 12
An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
2023 · Leandro Parada, Hanlin Tian, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 1
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Zero-shot ship berthing trajectory prediction: A Target-Driven Residual Bi-LSTM with ego-centric spatial awareness based on real berthing data and port geometry
2026 · Evangelos Angelidis, Leandro Parada, et al. · Ocean Engineering
Scaling Deep Reinforcement Learning for Autonomous Mobility on Demand Systems: A Curriculum Learning Approach
2023 · Leandro Parada, Jose Escribano, et al. · SSRN Electronic Journal
Works count: 11
Citation count: 384
H-index: 8
I10-index: 8
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