LADES research encompasses the development of foundational theories, methodologies, algorithms, and computational infrastructures, and their application to challenging problems across a wide array of fields.
Our research typically involves a combination of problems and tools within the following core areas:
- Process Modeling and Simulation
- Advanced Control and Real-Time Optimization
- Data Science and Artificial Intelligence
- Digital Twins
- Process Monitoring
- Fault Detection, Diagnosis, and Prognosis
- Data Reconciliation and Virtual Analyzers
LADES research builds upon the knowledge base in these areas and, more importantly, plays a key role in identifying novel directions and advancing the state of the art. Simultaneously, our research addresses and is driven by broad challenges, emerging applications, critical needs, and intellectual opportunities for technological advancements.
Most of the research activities at LADES transcend disciplinary boundaries and involve collaboration with colleagues across various departments and institutions. Our collaborations extend beyond the academic realm, including partnerships with leading industrial organizations and national laboratories. Our primary industrial partner is Petrobras, and we continue to develop relationships with other notable organizations.
Key Collaborations
In addition to our primary partnership with Petrobras, LADES maintains relationships with several other esteemed organizations and laboratories, ensuring our research is both cutting-edge and practically relevant.