Coloma Ballester

Coloma Ballester is a Full Professor of Applied Mathematics at the Department of Engineering, Universitat Pompeu Fabra (Barcelona), where she coordinates the Intelligent Multimodal Vision Analysis (IMVA) research group. Her work bridges mathematical theory and practical applications in visual data analysis.

Her research encompasses:

• Core methodologies: Variational methods, geometric models, PDEs, non-local approaches, and data-driven learning
• Applications: Image inpainting, segmentation, object recognition, video interpolation, motion analysis, and computational photography
• Current focus: Multimodal scene understanding integrating vision, language, and audio for sign language translation, sports analytics, and media production

PhD Supervision

Current advisees:

• Pritam Mishra (2022–present)
• Marcelo Sánchez-Ortega (2022–present)
• Adam Phillips (2023–present)
• Marcel Granero (2024–present)
• Laia Tarrés (2024–present)

Notable former students:

• Adrià Arbués-Sangüesa (Senior Data Scientist, Zelus Analytics)
• Patricia Vitoria (Machine Learning Engineer, Apple)
• Vanel Lazcano (Associate Professor, Universidad Mayor)