In my current role as a Senior Applied Research Scientist at Ericsson LynkAI, I am actively engaged in the digital human project, aimed at dismantling language barriers and facilitating seamless communication across diverse linguistic landscapes. Our cutting-edge technology enables real-time translation, empowering each participant to express themselves naturally in their native tongue, seamlessly translated for others. Previously, I worked as a senior computer vision data scientist at Socure from 2021 until June 2022. During this tenure, my focus revolved around leveraging deep learning methodologies in computer vision and biometrics across both edge and cloud computing environments. Before moving to industry, I held a postdoctoral fellow position at Ambient Intelligence & Interactive Machines Laboratory (Aiim Lab), Queen’s University, where I engaged in theoretical and applied machine learning for computer vision. I received my PhD with distinction and honour from University of Lisbon in January 2019. My PhD work focused on exploiting the breakthrough in multi-view imaging technologies and deep learning techniques towards developing more advanced security and surveillance systems.

News

• I joined Ericsson as a senior research scientist (February 2023).
• One paper accepted to IEEE Transactions on Artificial Intelligence (September 2022)
• One paper accepted to IEEE Transactions on Artificial Intelligence (August 2022)
• One paper accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (February 2022)
• I serve as an area chair for International Conference on Pattern Recognition (ICPR’22) (January 2022).
• One paper accepted at FG’21 (December 2021).
• Call for Papers: AAAI 2022 Workshop on Human-Centric Self-Supervised Learning (HC-SSL @ AAAI’22) call for contribution to novel methods, innovations, and broader implications of self-supervised learning (SSL) for processing human-related data. Paper submission deadline: Friday, November 12, 2021.
• I will be acting as a publicity co-chair of European Workshop on Visual Information Processing (EUVIP’22) (September 2021).
• I serve as a program co-chair of AAAI 2022 Workshop on Human-Centric Self-Supervised Learning (HC-SSL @ AAAI’22) (August 2021).
• One paper accepted at ICCV’21 (July 2021).
• I joined Socure as a senior computer vision data scientist (May 2021).
• One paper accepted at CVPR’21 (February 2021).
• One paper accepted to IEEE Transactions on Information Forensics and Security (February 2021)
• One paper accepted to IEEE Transactions on Image Processing (January 2021).
• Two papers (paper1) and (paper2) presentaed at ICPR’21 (January 2021)
• One paper accepted to IEEE Transactions on Information Forensics and Security (November 2020)
• One paper accepted to IEEE Transactions on Biometrics, Behavior, and Identity Science (October 2020)

Research interests

I have broad interests in computer vision and machine learning with special focus on:

1. Deep Learning: Convolutional Neural Networks; Recurrent Neural Networks; Generative Adversarial Networks; Attention Networks; Capsule Networks.
2. Human Understanding: Activity Recognition; Pedestrian Detection; Brain-Computer Interface; Face, Hand and Body Detection, Tracking, and Pose Estimation; Lip Reading.
3. Biometrics and Security: Face, Gait, and Ear Recognition; Soft-Biometrics; Person Re-Identification; Face Presentation Attack Detection (Anti-Spoofing); Face Morphing and Deep Fake Detection; Fraud Detection.