About

Nil Ortiz

Background

I have been working since 2020 on R+D+I projects with a common focus on the domain of cybersecurity and AI, mainly in the security of infrastructures, systems, and information.

My contribution to these projects focuses on i) design software architecture components, as well as their development and implementation; ii) integration between different systems and equipment; iii) management of infrastructure nodes and sometimes the definition of their physical architecture; iv) dissemination of project results in both scientific publications and conferences. Besides my R+D efforts, I also designed and manage an on-premise cloud HPC laboratory based on OpenStack for the development of cybersecurity and artificial intelligence projects.

While my main expertise has been centered around UEBA projects, my efforts are currently being shifted towards the research of security applied to artificial intelligence systems, evaluating the robustness and resilience of machine learning models against adversarial events, as well as the detection of attacks and vulnerabilities in AI systems. Recently as a PhD candidate, I have been working on Securing Knowledge Distillation of Transformers in Edge and Federated AI with Lightweight Defences, analysing the impact of multiple threat scenarios, and evaluating the performance of different defense mechanisms.

Education

UPF

ICT Phd in Artificial Intelligence

Ongoing

UOC

Master's Degree in cybersecurity and privacy

2024

UCJC

Master's Degree in cybersecurity

2020

UAB

Engineering Degree in Computer Science

2017