Oral presentations will have a 20 min duration, with 15 min for the presentation followed by 5 min for discussion.
Best Graduate Student Paper Award: During the paper presentation sections, the event’s organizing team will carry out an evaluation to determine the best paper by graduate students. The result will be announced at the closing ceremony. More details will be provided as the event approaches.
Minicourse – Computational Stochastics
Date: July 26, 2026
Instructors: Roberta Lima (PUC-Rio) & Rubens Sampaio (PUC-Rio)
Duration: 4 hours
This minicourse introduces key concepts of stochastic modeling and uncertainty quantification. Topics include probability spaces, random variables and processes, sample generation, statistical modeling, and Monte Carlo methods (LLN and CLT). Practical examples and a brief literature overview will help participants understand how uncertainties are represented and analyzed in computational applications.
It is ideal for researchers, students, and practitioners interested in deepening their understanding of uncertainty quantification and computational stochastic methods.
The Minicourse on Computational Stochastics will take place on the Roberto Salmeron Auditorium, located in the Faculty of Technology building.
Keynote Lecture – Dealing with uncertainty in physics, data, and knowledge: challenges and opportunities in Engineering applications
Speaker: Dr. Alice Cicirello (Cambridge University)
Keynote Lecture – Ensemble data assimilation applied to geological reservoir models
Speaker: Dr. Alexandre Anoze Emerick (CENPES/PETROBRAS)
Keynote Lecture – A Happy Love Triangle: Thermodynamics, Newtonian Mechanics, and Randomness
Speaker: Dr. Rubens Sampaio (PUC-Rio)
