RECENT
NEWS
Scaling mixture-of-experts models effectively across different data distribution
26/02/2026
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 […]
LASIGE Project Proposal Pitch to Peers
23/02/2026
“LASIGE Project Proposal Pitch to Peers”, specially designed for Early Career Researchers, by the LASIGE’s Executive Commission, was held on February 11, 2026. Researchers who want to submit projects present their ideas and discuss opportunities and challenges with colleagues, receiving feedback and other contributions. Participation is open to all LASIGE researchers. The high level of […]
Contributions to enhance the reliability, security, and efficiency of DMS
18/02/2026
The paper entitled “Distributed Measuring Systems (DMS): A Systematic Review on Technological Shifts towards Security,” includes contributions from LASIGE researcher Alan Oliveira and addresses the evolution, applications, and cybersecurity challenges of distributed measuring systems. This study will serve as a basis for future work on DMS and Metrology, especially to enhance its integrity, confidentiality, and […]
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About LASIGE
LASIGE is a research and development unit at the Faculty of Sciences of the University of Lisbon, in the field of Computer Science and Engineering.
LASIGE has approximately 250 collaborators, including researchers holding a doctoral degree, PhD and MSc students and other junior researchers, project managers, and a team of system administrators. The current Director is Prof. Alysson Bessani.