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About

About

Ana F. Sequeira holds a PhD in Electrical and Computing Engineering obtained from the Engineering Faculty of University of Porto, Portugal in 2015. Ana also holds a Master degree in Mathematical Engineering and a 5-years degree in Mathematics, both obtained from the Mathematics Department of the Science Faculty of the University Of Porto, Portugal.

Ana collaborated as a researcher at INESC TEC, a R&D institute affiliated to the University of Porto, within the Visual Computing and Machine Intelligence Group (VCMI) during her PhD studies.

Ana’s PhD studies, in the fields of computer vision and machine learning, focused on liveness detection techniques for iris and fingerprint. This research equipped Ana with a deep knowledge and diversified skills regarding the complete image processing and classification pipeline: from the pre-processing methods to the classification/decision step passing through the application of feature extraction techniques.

The post-doctoral research was pursued at the University of Reading, UK, collaborating in EU projects related to the application of biometric recognition in Border Control (FASTPASS and PROTECT projects).

This activity was followed by a short term collaboration with the company Iris Guard UK in order to research on the vulnerabilities of EyePay® technology’s to spoofing and to develop a proof-of-concept of an anti-spoofing measure.

Currently, Ana is back at INESC TEC as a Research Assistant.

During Ana’s activity as PhD and PDRA, she authored and co-authored several research publications in major international conferences and journals which attracted, to the date, over 150 citations.

Throughout her research activity, Ana developed expertise not only in computer vision/image processing topics but as well in the application of diversified machine learning techniques, from classic to deep learning methodologies.

Interest
Topics
Details

Details

002
Publications

2022

Myope Models - Are face presentation attack detection models short-sighted?

Authors
Neto, PC; Sequeira, AF; Cardoso, JS;

Publication
2022 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION WORKSHOPS (WACVW 2022)

Abstract

2022

Editorial of the Special Issue from WorldCIST'20

Authors
Domingues, I; Sequeira, AF;

Publication
COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY

Abstract

2022

Beyond Masks: On the Generalization of Masked Face Recognition Models to Occluded Face Recognition

Authors
Neto, PCP; Pinto, JR; Boutros, F; Damer, N; Sequeira, AF; Cardoso, JS;

Publication
IEEE ACCESS

Abstract

2022

OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement

Authors
Neto, PC; Goncalves, T; Huber, M; Damer, N; Sequeira, AF; Cardoso, JS;

Publication
PROCEEDINGS OF THE 21ST 2022 INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG 2022)

Abstract

2022

BIOSIG 2021 Special issue on efficient, reliable, and privacy-friendly biometrics

Authors
Sequeira, AE; Gomez Barrero, M; Damer, N; Correia, PL;

Publication
IET BIOMETRICS

Abstract

Supervised
thesis

2021

Explainable and Interpretable Face Presentation Attack Detection Methods

Author
Murilo Leite Nóbrega

Institution
UP-FEUP

2020

Fingerprint Anti Spoofing – Domain Adaptation and Adversarial Learning

Author
João Afonso Pinto Pereira

Institution
UP-FEUP

2020

Explainable Artificial Intelligence For Biometric Analysis

Author
Pedro Carneiro Neto

Institution
UP-FEUP

2020

Head Pose Estimation for Biometric Recognition Systems

Author
João Manuel Guedes Ferreira

Institution
UP-FEUP

2020

Face biOmetrics UNder severe representation Drifts

Author
Mohsen Saffari

Institution
UP-FEUP