Organizers

Instituto Tecnologico de Costa Rica, Associated professor,  Computing Engineering. 

Ph. D. Saúl Calderón is a researcher, professor, and academic leader with extensive experience in artificial intelligence, signal and image processing, machine learning, and high-performance computing. He holds a PhD in Computer Science from De Montfort University (UK) and a Master's degree in Electrical Engineering and a Bachelor's degree in Computer Science from the University of Costa Rica. He coordinates the PARMA (Pattern Recognition and Machine Learning) group and has participated in the development of the Data Science professional program,  and the Business Analytics master program, and the Artificial Intelligence specialization at the master program in Computer Science. He also works as a research advisor of the Cornell University based Iriscience startup. 

Email: sacalderon@itcr.ac.cr 

Instituto Tecnologico de Costa Rica, Full professor, Mathemathics. 

Cindy Calderón-Arce has a background in Computer-Assisted Mathematics Education, a master's degree in Applied Mathematics from the University of Puerto Rico, Mayagüez Campus, and a doctorate from DOCINADE with an emphasis in Applied Electronic Technologies. She is a professor, researcher, and extension specialist at the Costa Rica Institute of Technology. Her areas of interest include optimization, numerical analysis, and models for approximation, prediction, classification, and pattern recognition based on machine and deep learning. 

Email: ccalderon@itcr.ac.cr.   

Sebastian Rojas Gonzalez holds a degree in Industrial Systems Engineering (Costa Rica Institute of Technology), and a Master in Applied Mathematics (Harbin Institute of Technology, China). He also has received training in Astronomy and Astrophysics. For his PhD, at the Department of Decision Sciences, KU Leuven (Belgium), he worked on methods to solve multiobjective simulation optimization problems using machine learning.  

Sebastian is currently a Senior FWO Postdoctoral Fellow at the IDLab, Ghent University - imec, and a lecturer within the Computational Mathematics group at the Data Science Institute. The core aim of his research is to leverage state-of-the-art artificial intelligence to effectively address complex real-world decision-making problems, with a strong emphasis on achieving data efficiency and uncertainty quantification. 

Email: sebastian.rojasgonzalez@ugent.be.

Miguel Guillermo Abreu Cárdenas is a Computer Engineer who graduated in 2020 from the Technological University of Havana, Cuba. He completed his M.Sc. in Computer Science at the Costa Rica Institute of Technology in late 2024 and is currently pursuing a Ph.D. in Engineering, where he researches uncertainty estimation in ophthalmic image segmentation using low-data training techniques. He has worked as a researcher at PARMA Group since 2023 and previously served as a researcher with teaching support at the Technological University of Havana (2021–2023). He has presented at leading AI safety workshops and other outreach activities alongside his advisor, Saúl Calderón. His contributions include the publications “Uncertainty Estimation for Complex Text Detection in Spanish,” presented at IEEE BIP 2023, and “Feature Densities for Uncertainty Estimation for Text Simplicity Detection in Spanish,” the latter stemming from his master’s thesis, among others. 

Email: mabreu@estudiantec.cr