Scholar
Juan Tapia Farias
Google Scholar ID: 2nHVd-0AAAAJ
Hochschule Darmstadt University of Applied Sciences (hda)
Citations & Impact
Citations
1,144
H-index
20
i10-index
34
Publications
20
Co-authors
10
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- In 2016, he received the Award for Best Ph.D. Thesis. Published several journal articles including generating automatically print/scan textures for morphing attack detection applications, single-morphing attack detection using few-shot learning and triplet-loss, forged presentation attack detection for ID cards on remote verification systems, classification of alcohol, drugs and sleepiness condition using periocular iris images to evaluate fitness for duty, and more.
Research Experience
- From 2016 to 2017, he was an Assistant Professor at Universidad Andres Bello. From 2018 to 2020, he served as the Research and Development Director for the electricity and electronics area at INACAP, Universidad Tecnológica de Chile, the R&D Director of TOC Biometrics Company, and an International advisor on biometrics for face, iris applications and forensic/tampering ID-card detection. Currently, he is a Senior Researcher at Hochschule Darmstadt (HDA), leading EU projects such as iMARS, EINSTEIN, and CarMen.
Education
- Received the P.E. degree in electronics engineering from Universidad Mayor in 2004 and the M.S. and Ph.D. degrees in electrical engineering from the Department of Electrical Engineering, Universidad de Chile, in 2012 and 2016, respectively. Spent one year of internship with the University of Notre Dame (USA).
Background
- His main research interests include pattern recognition and foundation models applied to face and iris biometrics, morphing, and feature selection. He serves as an associate editor on IET Computer Vision and a member of the German DIN on behalf of the ISO/IEC Sub-Committee 37 on biometrics.
Miscellany
- Currently offering multiple master's thesis opportunities, such as: Generating synthetic passports/ID-cards using Multimodal AI Models, Classify presentation Attack Detection on ID card using Multimodal AI Models, Similarity metrics to evaluate synthetic ID Cards, Explainability on PAD on ID Cards, Generate Near Infra-red iris Images using Latent Diffusion Models, Fitness for Duty using Iris image using Multimodal AI.
