معرفی
Leandro Parada Pradenas is an Honorary Research Associate in the Department of Civil and Environmental Engineering at Imperial College London's Faculty of Engineering. He is also a PhD Candidate in AI and Transportation, focusing on advancing safe and efficient autonomous vehicles through Deep Reinforcement Learning (DRL) integrated with Vehicle-to-Vehicle (V2V) communication. His research addresses scalability in Multi-Agent Systems, real-world deployment of robotics, and resilience against adversarial AI threats.
Education:
- PhD Candidate in AI and Transportation (Imperial College London)
Research Interests:
His work spans cooperative planning among autonomous vehicles, simulation-to-real-world transitions in robotics, and enhancing system security against adversarial AI. He aims to bridge theoretical advancements with practical applications in mobility and security.
Professional Background:
Previously, he served as a Management Consultant for four years, developing Decision Support Systems for Logistics, Healthcare, and Energy sectors. This experience informs his interdisciplinary approach to solving complex systems challenges.
Lab/Teams:
While specific lab affiliations are not detailed, his research likely intersects with Imperial's robotics and AI groups focused on autonomous systems and cybersecurity.
