CV
Research Interests
Computer Vision, Image Processing, Machine Learning, Deep Learning, Bayesian models, Explainable AI, anomaly detection, extreme event detection and forecasting, visual attention modeling, biomedical image processing.
Education
Polytechnic School of Carlos III University of Madrid, Leganés, Madrid (Spain)
Ph.D. in Multimedia and Communications, September, 2014 - February, 2019
Dissertation name: “Hierarchical Representations for Spatio-Temporal Visual Attention Modeling and Understanding” URI: http://hdl.handle.net/10016/29195
Advisors: Dr. Iván González Díaz, Dr. Fernando Díaz de María
Grade obtained: Excellent (Sobresaliente), Cum Laude Distinction, International Distinction
M.S., Multimedia and Communications, September, 2013 - September, 2014
Dissertation name: “Automatic Transcription of Lyrics in Monophonic and Poliphonic Songs” URI: http://hdl.handle.net/10016/27964
Overall grade obtained: 9.51 (10-points grading scale).
B.S., Audiovisual System Engineering, September, 2009 - October, 2013
Dissertation name: “Automatic system for the identification of monuments in photographs” (Document in Spanish)
Overall grade obtained: 8.69 (10-points grading scale).
On 25/11/2013, the Rector decided to grant the student with the Award for Excellence in the Academical Course 2012/2013.
Vienna University of Technology, Vienna (Austria), February, 2013 - June, 2013
Erasmus Exchange Program
As part of the Bachelor’s Degree in Audiovisual System Engineering
Honors and Awards
Teaching Associate Professor Certification, Agència Valenciana d’Avaluació i Prospectiva (AVAP), 2023
European Laboratory for Learning and Intelligent Systems (ELLIS) Member, since 2022
Teaching Assistant Professor Certification, National Agency for Quality Assessment and Accreditation of Spain (ANECA), 2019
Grant from the Spanish Ministry of Education’s University Faculty Training (FPU) programme, 2013
Award for Excellence, Bachelor’s Degree in Audiovisual System Engineering, Carlos III University of Madrid, Academic Course 2012/2013
Excellence Award, Social Council of Carlos III University of Madrid, 2012
Excellence Scholarship, Community of Madrid, Academic Course 2009/2010
Award for Best University Entrance Records (9.74 (10-points grading scale), Third Position), Polytechnic School of Carlos III University of Madrid, 2009
Academic Experience
University of Valencia, Valencia (Spain)
- Senior Researcher with Ph.D., March, 2023 - present
Junior Researcher with Ph.D., November, 2020 - February, 2023
- Image and Signal Processing Group, Image Processing Laboratory.
- Participating in the projects “Understanding and modelling the earth system with machine learning (USMILE)”, “eXtreme events: Artificial Intelligence for Detection and Attribution (XAIDA)”, and “ESA DeepExtremes: Explaining Extremes through Deep Learning”.
- Courses taught:
- XAIDA Summer School 2022: Artificial Intelligence for Detection and Attribution of Climate Extremes (20 June - 2 July 2022)
- Deep Learning for the Earth Sciences (January 2022, January 2023)
Polytechnic School of Carlos III University of Madrid, Leganés, Madrid (Spain)
Teaching Assistant, October, 2018 - October, 2020
- Multimedia Processing Group, Department of Signal Theory and Communications.
Research Assistant, October, 2014 - September, 2018
Multimedia Processing Group, Department of Signal Theory and Communications.
Ph.D. student, doing the Ph.D. thesis “Hierarchical Representations for Spatio-Temporal Visual Attention Modeling and Understanding”.
Scholarship Holder, September, 2013 - September, 2014
Multimedia Processing Group, Department of Signal Theory and Communications.
Scholarship holder, studying Master in Multimedia and Communications.
Purdue University, West Lafayette, Indiana (United States), August, 2016 - December, 2016
Visiting Research Scholar
Visual Perception Laboratory, Department of Psychological Sciences, under the supervision of Dr. Zygmunt Pizlo.
Professional Experience
Polytechnic School of Carlos III University of Madrid, Leganés, Madrid (Spain)
Informant, January, 2012 - February, 2013
Leganés Service Point.
Public service.
Support in student administration.
Employment of the student records database and software for university income.
CSIC Institute of Applied Physics, Madrid (Spain), September, 2009 - May, 2010
Collaboration Scholarship.
Study of the propagation of light in optical fiber.
Management of laboratory equipment and software, and implementation of electronic circuits.
Organizing Committees
- Local and Volunteer Chair in the 2023 26th International Conference on Artificial Intelligence and Statistics (AISTATS).
- Local Chair in the 2022 25th International Conference on Artificial Intelligence and Statistics (AISTATS).
Service to Profession
- Reviewer
- ISPRS Journal of Photogrammetry and Remote Sensing (Elsevier), Nature npj Climate and Atmospheric Science, Environmental Data Science (Cambridge University Press), IEEE Geoscience and Remote Sensing Letters, Journal of Real-Time Image Processing (Springer), IEEE Transactions on Circuits and Systems for Video Technology, IEEE Access Journal, MDPI Sensors Journal, MDPI Applied Sciences Journal, Journal of Medical Imaging and Health Informatics.
- Conferences: CVPR 2023 EarthVision Workshop, 2023 26th International Conference on Artificial Intelligence and Statistics (AISTATS), NeurIPS 2022 Worshop Tackling Climate Change with Machine Learning, CVPR 2022 EarthVision Workshop, 2022 25th International Conference on Artificial Intelligence and Statistics (AISTATS), NeurIPS 2021 Workshop on Pre-registration in Machine Learning.
- Book proposals: CRC Press - Taylor and Francis Group
- Grants: Climate Change AI Innovation Grants program 2023, Climate Change AI Innovation Grants program 2022
Courses and Certifications
Academic Teaching Excellence: English as a Medium of Instruction (EMI), British Council, 2019
International Computer Vision Summer School - Learning to See (ICVSS), Sicily, Italy, 2015.
Teachers’ Development Course, Carlos III University of Madrid, 2014.
English B2 Course, EF International School of English, New York, United States, 2010.
Skills
Computer skills
Languages: Python, Matlab, C, C++, Java, some use of Unix shell scripts.
Algorithms: Experience programming Deep Learning-based architectures and Bayesian models (PyTorch, Keras, Tensorflow libraries).
LaTeX and Microsoft productivity tools: Word, Excel, etc.
Operating Systems: Linux/Unix, Mac, Windows.
Experience with distributed computing in clustered environments.
Foreign languages
English: Complete professional competence.
French: Basic competence.
German: Limited basic competence.
Driving licence B