معرفی
Remedy Calm Puig is an Associate Professor in the Department of Computer Science, Applied Mathematics and Statistics at the University of Girona, where she has been a faculty member since 1992. She is affiliated with the Institute of Computing and Applications and leads research in interval analysis and its applications in engineering and biomedical systems. She is a member of the Modeling and Intelligent Control Engineering (MiceLab) research group and collaborates with the Girona Biomedical Research Institute (IdIBGi).
- BSc in Mathematics, Universitat Autònoma de Barcelona (UAB), 1987
- PhD in Mathematics, Universitat Politècnica de Catalunya (UPC), 2005
Her research focuses on modal interval analysis, uncertainty modeling, and biomedical simulation, particularly in glucose-insulin dynamics for diabetes management. She develops mathematical tools for reliable computing and applies them to physiological systems and control engineering. Her work bridges applied mathematics with real-world biomedical and industrial applications.
The recent publications highlight a strong trend in interdisciplinary research combining applied mathematics, biomedical engineering, and clinical technology. Key themes include uncertainty quantification, virtual patient modeling, and glucose monitoring validation. Her work appears in specialized journals like Reliable Computing and Journal of Diabetes Science and Technology, reflecting both theoretical and translational impact.
She has co-directed PhD research and contributed to national and institutional research projects. Her technology transfer efforts include collaborations with National Instruments and Medtronic, focusing on virtual patients and glucose monitor evaluation.
- Organizing Committee, Qualitative Systems and Diagnosis Conferences
- Organizer, XLV Spanish Mathematical Olympiad (2009)
- Participant, 'Innovem Junts' – ICT Research for Business Innovation
She is actively involved in the MiceLab research group, which specializes in interval-based modeling and control systems, and continues to advance methods for handling uncertainty in complex systems.