Luis Búrdalo
Director of R+D+i
S2GRUPO
Spain
My organisation
About me
PhD in Pattern Recognition and Artificial Intelligence from the Universitat Politècnica de València (UPV), with a thesis focused on indirect communication in multi-agent systems. He spent 11 years researching AI and real-time systems at the UPV, developing multi-agent systems and studying different real-time scheduling policies for mixed load (critical and non-critical tasks) over the RT-Linux operating system kernel.
At S2GRUPO since 2016, currently as head of the R&D&I Department and working closely with the company's AI team, developing advanced AI technologies to improve S2GRUPO's cybersecurity solutions and protect AI models against adversarial attacks.
Relevant publications:
Búrdalo, Luis & Terrasa, Andrés & Espinosa, Agustín & García-Fornes, Ana. (2011). Analyzing the Effect of Gain Time on Soft Task Scheduling Policies in Real-Time Systems. Software Engineering, IEEE Transactions on. 38. 1 - 1. 10.1109/TSE.2011.95.
Búrdalo, Luis & Terrasa, Andrés & Julián, Vicente & García-Fornes, Ana. (2018). The Information Flow Problem in multi-agent systems. Engineering Applications of Artificial Intelligence. 70. 130-141. 10.1016/j.engappai.2018.01.011.
Apruzzese, Giovanni & Laskov, Pavel & Montes de Oca, Edgardo & Mallouli, W. & Búrdalo, Luis & Grammatopoulos, Athanasios & Franco, Fabio. (2022). The Role of Machine Learning in Cybersecurity. 10.48550/arXiv.2206.09707.