RISE

Resilient Infrastructure,
Systems and Environment

In response to a changing world, we've evolved. Our group is now RISE – Resilient Infrastructure, Systems and Environment – a research and development (R&D) group dedicated to creating sustainable and resilient solutions for the built environment. Formerly known as the Civil Research Group, this new identity reflects our commitment to forward-thinking infrastructure and environmental challenges.

2 ECTS | Hybrid (12h) | Special edition at Tongji University, Shanghai, China

Short Course | Structural Health Monitoring | China (Special Edition)

This special edition of the Short Course on Structural Health Monitoring (SHM), hosted by Tongji University in Shanghai, provides an intensive journey from the fundamental principles of SHM in the context of a statistical pattern recognition paradigm to its implementation on real civil infrastructure.

BIP - Blended Intensive Program

Summer Course on Structural Health Monitoring 2027 (5th Edition)

5 ECTS | June 14-18, 2027, in person (30h) | 15h remotely | MSc and PhD Students

2 ECTS | Blended (12h) | In the context of the IABSE Congress 2026 in Incheon, South Korea

Short Course | Structural Health Monitoring | South Korea

A 12-hour blended short course introducing Structural Health Monitoring (SHM) within the framework of the Statistical Pattern Recognition (SPR) paradigm, providing participants with the fundamental concepts and methodologies to support damage identification and risk-informed integrity management. The course is organized in conjunction with the IABSE Congress 2026, to be held in Incheon, South Korea, from 16–18 September 2026.

CLIMABRISK Toolbox - New toolbox for climate adaptation of bridges

Climate change is increasing thermal demands on bridge infrastructure, but assessing thousands of bridges individually is impractical. Our team and students have developed CLIMABRISK, a first-level screening toolbox that combines climate projections with simplified structural models to identify concrete bridges that may become vulnerable to rising temperatures.

27 de maio de 2026, 14:00-18:00

2.º Congresso - Impacto das alterações climáticas na infraestrutura de transportes

Sede da CPLP (modo híbrido)
Palácio Conde de Penafiel, Lisboa, Portugal

2 ECTS | Blended (9h) | In the context of the DEWESoft MC2026, Dewesoft Headquarters in Trbovlje, Slovenia

Short Course | Structural Health Monitoring | Slovenia

A 9-hour blended short course designed to pose the structural health monitoring (SHM) in the context of a statistical pattern recognition paradigm to support the damage identification process and risk-informed integrity management. This course is organized in the context of the MC2026 (in-person activities: April 20, 2026). Registration already available!

Monitoring 2026

Jornadas Lusófonas para debater a monitorização e sustentabilidade das infraestruturas, bem como os conhecimentos técnicos essenciais | Remoto | 15 de janeiro de 2026, 10:00-18:00

2 ECTS | Blended (12h) | In the context of the EWSHM 2026, Toulouse, France

Short Course | Structural Health Monitoring | France

A 12-hour blended short course designed to pose the structural health monitoring (SHM) in the context of a statistical pattern recognition paradigm to support the damage identification process and risk-informed integrity management. This course is organized in the context of the EWSHM - European Workshop on Structural Health Monitoring (in-person activities: July 6, 2026). Registration is already available.

BIP - Blended Intensive Program

Summer Course on Structural Health Monitoring 2026 (4th Edition)

5 ECTS | June 22-26, 2026, in person (30h) | 15h remotely | MSc and PhD Students

Best Paper Award - Stochastic transfer learning strategy for monitoring twin concrete bridges

Honored to have received the Best Paper Award at EVACES 2025 (FEUP, Porto) on behalf of the first author, Leonardo Ferreira.

Leonardo Ferreira, Marcus Omori Yano, Laura Souza, Ionut Dragos Moldovan, Samuel da Silva, Rômulo Lopes, Carlos Cimini, joao weyl, Eloi Figueiredo (2025). Stochastic transfer learning strategy for monitoring twin concrete bridges. EVACES25, FEUP, Porto, Portugal.