To advance Computer Vision and Biometrics research that translates into deployable technology, applying strong analytical skills and international academic and applied research experience to face recognition under real-world settings such as: low resolution, long range, cross-spectral acquisition, and limited data, as well as anti-spoofing, privacy, and decentralized machine learning, and to contribute to problems of high social and scientific impact through research, collaboration, teaching, and the supervision of new researchers.
 | Universitat Autònoma de Barcelona (UAB) Barcelona, Spain | Assistant Professor, Department of Computer Science | August 2026 - Current |
Teaching duties at the Department of Computer Science and research on Computer Vision & AI | |||
 | Idiap Research Institute Valais, Switzerland | Postdoctoral Researcher, Biometrics Security & Privacy Group | June 2024 - July 2026 |
Research work for the InnoSuisse SENTINEL project on detection of presentation and digital injection attacks for age verification systems. Face and gait data collection on multiple modalities (RGB, NIR, long distance) and research on long distance face and gait recognition on the EU Horizon PopEye and CarMen projects. | |||
 | Inria Rennes, France | Postdoctoral Researcher, WIDE team | May 2023 - May 2024 |
Collaborated on the European Union-funded SOTERIA project. Research work focused on Privacy on Decentralized Machine Learning and Trusted Execution Environments for data-centric scenarios. | |||
 | Tecnológico de Monterrey State of Mexico, Mexico | Postdoctoral Researcher | Feb 2023 - July 2023 |
Research work focused on Computer Vision models for Smart Cities in applications such as surveillance, mobility, and health. Implemented models for real-time face recognition, face anti-spoofing, and crowd counting on PyTorch. Published one conference article. | |||
| Idiap Research Institute Valais, Switzerland | Research Intern, Biometrics Security & Privacy Group | Aug 2022 - Dec 2022 |
Authored code for training and evaluating state of the art and novel original method proposals for very low resolution face recognition on frameworks PyTorch and Bob using the internal computing infrastructure. Collaborated with fellow researchers at the group to achieve internal research objectives. | |||
 | Dell Latin America Mexico City, Mexico | Sr. Analyst, Global Demand & Supply Chain Operations | May 2016 - Aug 2016 |
Successfully provided inventory visibility/availability to Sales & Support Teams, coordinated order entry support and production availability against inventory forecast to Sales. | |||
Dell Latin America Mexico City, Mexico | Intern, Enterprise Merchandising Operations | Feb 2015 – May 2016 | |
Positioned enterprise Servers, Storage and Networking products and generated demand in their respective road to market. Launched successful promotions for Enterprise solutions. | |||
Undergraduate & Graduate courses, Tecnológico de Monterrey, Campus State of Mexico, Computer Science Department, 2022
Created class contents, such as presentations and assignments, for the courses of Cognitive Computing, Deep Learning, Analysis and Design of Advanced Algorithms, Neural Systems, and Research Methods; at undergraduate and graduate levels. Assisted with lecturing, grading, and tutoring students.
| Tecnológico de Monterrey State of Mexico, Mexico | Ph.D. in Computer Science | Jan 2019 - Dec 2022 |
Research focused on Face Recognition (Computer Vision). Thesis project: Closing the Gap on Affordable Real-Time Very Low Resolution Face Recognition for Automated Video Surveillance. Published 3 journal articles and 3 conference articles | |||
 | Stevens Institute of Technology New Jersey, USA | M.Sc. in Computer Science | Aug. 2016 - May 2018 | Focus on Computer Vision and Machine Learning. Grade Point Average: 3.7/4.0 |
| Tecnológico de Monterrey State of Mexico, Mexico | B.Sc. Computer Science and Technology | Aug 2011 - Dec 2015 |
Cumulative average: 92.5/100 | |||
Luis S. Luevano, Ünsal Öztürk, Hatef Otroshi Shahreza, Anjith George, Sébastien Marcel. "Improving Low-Resolution Face Recognition under Limited Data: How Synthetic Data Generation Can Close the Domain Gap". IEEE International Joint Conference on Biometrics (IJCB) 2026, Focus Session on Generative AI for Fair and Secure Biometrics under Limited Data.
Alain Komaty, Luis S. Luevano, Vidit Vidit, Anjith George, Zeina Al Amine, Sébastien Marcel. "GaitFace: A Multimodal Dataset for Long-Range Person Identification". IEEE International Joint Conference on Biometrics (IJCB) 2026.
Anjith George, Luis S. Luevano, Alain Komaty, Zeina Al Amine, Vidit Vidit, Sébastien Marcel. "DriveFace: A Cross-Spectral Through-Glass Face Dataset for On-the-Move Vehicular Border Control". IEEE International Joint Conference on Biometrics (IJCB) 2026.
Luis S. Luevano, Pavel Korshunov, Sébastien Marcel. "Identity-Preserving Aging and De-Aging of Faces in the StyleGAN Latent Space". IEEE Joint Conference on Biometrics (IJCB) 2025.
Luis S. Luevano, Yoanna Martínez-Díaz, Heydi Méndez-Vázquez, Miguel Gonzalez-Mendoza, Davide Frey. "SwiftFaceFormer: An Efficient and Lightweight Hybrid Architecture for Accurate Face Recognition Applications". 2024 27th International Conference on Pattern Recognition (ICPR).
Luis S. Luevano, Yoanna Martínez-Díaz, Heydi Méndez-Vázquez, Miguel Gonzalez-Mendoza, Davide Frey. "Assessing the Performance of Efficient Face Anti-Spoofing Detection Against Physical and Digital Presentation Attacks". Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024.
Yoanna Martínez-Díaz, Luis S. Luevano, Heydi Méndez-Vázquez. "Effectiveness of Blind Face Restoration to Boost Face Recognition Performance at Low-Resolution Images". Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2023. Lecture Notes in Computer Science, vol 14335. Springer, Cham. https://doi.org/10.1007/978-3-031-49552-6_39
Yoanna Martínez-Díaz, Heydi Méndez-Vázquez, Luis S. Luevano, Miguel Gonzalez-Mendoza. "Exploring the Effectiveness of Lightweight Architectures for Face Anti-Spoofing". Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 6391-6401
H. Hofbauer, Y. Martínez-Díaz, L. S. Luevano, H. Méndez-Vázquez and A. Uhl, "Utilizing CNNs for Cryptanalysis of Selective Biometric Face Sample Encryption," 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022, pp. 892-899, doi: 10.1109/ICPR56361.2022.9956664.
Y. Martínez-Díaz, H. Méndez-Vázquez, L. S. Luevano, M. Nicolás-Díaz, L. Chang and M. González-Mendoza, "Towards Accurate and Lightweight Masked Face Recognition: An Experimental Evaluation," in IEEE Access, vol. 10, pp. 7341-7353, 2022, doi: 10.1109/ACCESS.2021.3135255.
L. S. Luevano, L. Chang, H. Méndez-Vázquez, Y. Martínez-Díaz and M. González-Mendoza, "A Study on the Performance of Unconstrained Very Low Resolution Face Recognition: Analyzing Current Trends and New Research Directions," in IEEE Access, vol. 9, pp. 75470-75493, 2021, doi: 10.1109/ACCESS.2021.3080712.
Martínez-Díaz, Y., Nicolás-Díaz, M., Méndez-Vázquez, H., Luevano, L.S. et al. Benchmarking lightweight face architectures on specific face recognition scenarios. Artif Intell Rev 54, 6201–6244 (2021). https://doi.org/10.1007/s10462-021-09974-2
Y. Martínez-Díaz, H. Méndez-Vázquez, L. S. Luevano, L. Chang and M. Gonzalez-Mendoza, "Lightweight Low-Resolution Face Recognition for Surveillance Applications," 2020 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, 2021, pp. 5421-5428, doi: 10.1109/ICPR48806.2021.9412280.
Y. Martindez-Díaz, L. S. Luevano, H. Mendez-Vazquez, M. Nicolas-Diaz, L. Chang and M. Gonzalez-Mendoza, "ShuffleFaceNet: A Lightweight Face Architecture for Efficient and Highly-Accurate Face Recognition," 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South), 2019, pp. 2721-2728, doi: 10.1109/ICCVW.2019.00333.