Ruben Tolosana

About

Ruben Tolosana received the M.Sc. degree in Telecommunication Engineering, and his Ph.D. degree in Computer and Telecommunication Engineering, from Universidad Autonoma de Madrid, in 2014 and 2019, respectively. In April 2014, he joined the Biometrics and Data Pattern Analytics (BiDA) Lab at Universidad Autonoma de Madrid, where he is currently collaborating as an Associate Professor. Since then, Dr. Tolosana has been granted with several awards such as the "FPU research fellowship" from Spanish MECD (2015), the "European Biometrics Industry Award (2018)" from European Association for Biometrics (EAB), the "Best Ph.D. Thesis Award in 2019-2022" from the Spanish Association for Pattern Recognition and Image Analysis (AERFAI), and the "Juan Lopez de Peñalver Award (2024)" from the Spanish Royal Academy of Engineering (RAING) for his research contributions and transfer of technologies.

His research interests are mainly focused on Machine Learning, Deep Learning, Signal and Image Processing, Pattern Recognition, and Biometrics. He is author of over 100 publications in high impact international journals (e.g. INFFUS, IEEE TIFS, TMC, ACM CSUR, Pattern Recognition, PLOS ONE, IEEE Access, etc.) and conferences (e.g., AAAI, CVPRw, ICPRw, ICDAR, ACM-MM, ICB, BTAS, WIFS, etc.). In addition, he collaborates as a reviewer in many different international journals (e.g., IEEE TPAMI, TCYB, TIFS, TIP, ACM CSUR, etc.) and conferences (e.g. ICDAR, ICPR, WACV, IJCB, ICB, EUSIPCO, etc.). As a result, in 2023 and 2024 Dr. Tolosana has been selected as one of the most influential researchers in the world according to “Ranking of the World Scientist: World Top 2%”, carried out by Stanford University and Elsevier.

Finally, Ruben Tolosana has participated in several International, European, and National research projects in collaboration with other universities and private entities.

Employment

• Universidad Autónoma de Madrid Associate Professor
  2024 - Present
• Universidad Autónoma de Madrid Assistant Professor
  2021 - 2024

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (184)

• Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2025 DOI: 10.1007/978-3-031-78341-8_8
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• KVC-onGoing: Keystroke Verification Challenge
  Pattern Recognition 2025 DOI: 10.1016/j.patcog.2024.111287
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• Leveraging automatic personalised nutrition: food image recognition benchmark and dataset based on nutrition taxonomy
  Multimedia Tools and Applications 2025 DOI: 10.1007/s11042-024-19161-4
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• A Comprehensive Analysis of Factors Impacting Membership Inference
  IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2024 DOI: 10.1109/CVPRW63382.2024.00362
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• An Overview of Privacy-Enhancing Technologies in Biometric Recognition
  ACM Computing Surveys 2024 DOI: 10.1145/3664596
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• ChildCI framework: Analysis of motor and cognitive development in children-computer interaction for age detection
  Cognitive Systems Research 2024 DOI: 10.1016/j.cogsys.2024.101230
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• Children Age Group Detection based on Human-Computer Interaction and Time Series Analysis
  arXiv 2024 DOI: 10.48550/arXiv.2403.04574
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• Children age group detection based on human–computer interaction and time series analysis
  International Journal on Document Analysis and Recognition 2024 DOI: 10.1007/s10032-024-00462-1
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• Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics
  arXiv 2024 DOI: 10.48550/arXiv.2409.01928
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• DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learning
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3437291
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• DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learning
  arXiv 2024 DOI: 10.48550/arXiv.2408.05523
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• Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance
  arXiv 2024 DOI: 10.48550/arXiv.2409.10481
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• FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data
  Pietro Melzi, Rubén Tolosana, Rubén Vera-Rodríguez +44 more
  Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024 2024 DOI: 10.1109/WACVW60836.2024.00100
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• FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems
  Pietro Melzi, Rubén Tolosana, Rubén Vera-Rodríguez

  +44 more

  • Minchul Kim
  • Christian Rathgeb
  • Xiaoming Liu
  • Ivan DeAndres-Tame
  • Aythami Morales
  • +39 more
  Information Fusion 2024 DOI: 10.1016/j.inffus.2024.102322
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• From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing
  arXiv 2024 DOI: 10.48550/arXiv.2409.16089
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• How Good Is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainability
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3370437
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• How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainability
  arXiv 2024 DOI: 10.48550/arXiv.2401.13641
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• IEEE BigData 2023 Keystroke Verification Challenge (KVC)
  arXiv 2024 DOI: 10.48550/arXiv.2401.16559
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• Is my Data in your AI Model? Membership Inference Test with Application to Face Images
  arXiv 2024 DOI: 10.48550/arXiv.2402.09225
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• KVC-onGoing: Keystroke Verification Challenge
  arXiv 2024 DOI: 10.48550/arXiv.2412.20530
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