- Published paper 'Lost in time: A new temporal benchmark for VideoLLM' at British Machine Vision Conference (BMVC), 2025
- Published paper 'Superpowering open-vocabulary object detectors for x-ray vision' at International Conference on Computer Vision (ICCV), 2025
- Published paper 'DeclareAligner: A Leap Towards Efficient Optimal Alignments for Declarative Process Model Conformance Checking' in Engineering Applications of Artificial Intelligence, 2025
- Published paper 'Exploring openvocabulary models for category-free detection' at 21st International Conference in Computer Analysis of Images and Patterns (CAIP), 2025
- Published paper 'Efficient Conformance Checking of Rich Data-Aware Declare Specifications' at 23rd International Conference on Business Process Management (BPM), 2025
- Published paper 'Enhancing multi-object tracking with segmentation masks: A solution for lost object recovery' at 12th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2025
- Published paper 'MixUDA: From synthetic to real object detection' at 12th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2025
Research Experience
- Teaching Statistical Learning (M.Sc. in Big Data)
- Teaching Supervised Machine Learning (B.Sc. in Artificial Intelligence)
- Teaching Deep Learning (B.Sc. in Artificial Intelligence)
- Teaching Automata Theory and Formal Languages (B.Sc. in Computer Science Engineering)
- Involved in multiple projects such as: Search, Location and Rescue of People on Land, and Fire Fighting and Prevention, RAI4P: Responsible AI for Process Mining 2.0, etc.
Background
- Professor of Computer Science and Artificial Intelligence
- Main research interest is machine learning and its application to computer vision