NEWS
A method for hiding access patterns to data stored on secure replicated services
Robin Vassantlal, Hasan Heydari, Bernardo Ferreira, and Alysson Bessani, LASIGE researchers, published a paper titled “MVP-ORAM: a Wait-free Concurrent ORAM for Confidential BFT Storage”, at the 33rd Network and Distributed System Security (NDSS) Symposium, a top cybersecurity conference (Core A*). This paper proposes a method for hiding access patterns to data stored on secure replicated […]
5th edition of the Cybersecurity Executive Programme
The launch of the 5th edition of the Cybersecurity Executive Programme took place today, continuing the programme that began in 2022 at the Faculty of Sciences of the University of Lisbon (CIÊNCIAS ULisboa). António Casimiro and Ana Respício, LASIGE’s integrated members, are the scientific coordinator and trainer of some of the modules that promise to […]
Generating realistic synthetic patients with deep learning to advance healthcare research
Data scarcity is a major bottleneck for applying deep learning in healthcare, particularly for rare diseases, where small patient populations and privacy constraints limit data availability and sharing. Addressing this challenge, Ruben Branco, LASIGE’s PhD student, published a paper entitled “PatientFlow: Learning to Generate Mixed-Type Longitudinal Clinical Data with Flow Matching” in Artificial Intelligence in […]
Enhancing Trustworthy Robotic Navigation in Uncertain Environments
LASIGE researcher José Cecílio has successfully obtained funding for the RobustSAR Portugal-Germany Bilateral Cooperation 2024 initiative. The RobustSAR project seeks to build and strengthen a collaborative research network focused on control theory, mobile robotics, networks, and artificial intelligence. The collaboration brings together researchers from the University of Lisboa and TU Bergakademie Freiberg, combining complementary expertise […]
Alcides Fonseca and Leon Ingelse discuss the impact of AI on education
At the ‘Spring Dialogues’ event, on 25 February 2026, researchers Alcides Fonseca and Leon Ingelse spoke to the Proença-a-Nova school group about the impact that the new generation of generative artificial intelligence is having on education and learning methods. Aiming to demystify what ChatGPT is, how it works and what its limitations are, the speakers […]
Scaling mixture-of-experts models effectively across different data distribution
Bakary Badjie, LASIGE’s PhD student, published a paper entitled “Decoupling Mixture-of-Experts Routing from Gradient Noise: A Framework for Structured Specialization and Soft Generalization Toward Robust and Efficient Inference”, in the Expert Systems With Applications, a top-ranked journal (impact factor 8.665), co-authored by José Cecílio and António Casimiro, both LASIGE integrated members. The paper provides a […]