on 31-01-2024
In September 2015, I joined the MSP–Lx group at Instituto de Telecomunicações as a PhD researcher...
...working under the esteemed supervision of Paulo Correia and Fernando Pereira. My research centered on an FCT-funded project, exploring advancements in multi-view imaging technologies and machine learning techniques to enhance security and surveillance systems. Specifically, I focused on developing more sophisticated biometric recognition and presentation attack detection systems with improved performance. After a journey filled with challenges and discoveries, I completed my Ph.D. degree with distinction and honor in Electrical and Computer Engineering in January 2019.
From 2019 to 2021, I held a postdoctoral fellow position at Queen’s University in Kingston, ON, Canada, where I contributed to various projects funded by both public and private sectors. I actively participated in both theoretical and applied machine learning research across diverse domains and also maintained my collaboration with IT, extending the theoretical foundations of my Ph.D. work.
Later, I served as the Senior Computer Vision Scientist at Socure, a globally recognized predictive analytics and machine learning technology company headquartered in New York. In my current role as a Senior Applied Research Scientist at Ericsson, I am actively involved in the digital human project, dedicated to breaking down language barriers and facilitating effective communication across diverse languages.
Thank you to IT for being the cornerstone of my education and instrumental in shaping my career journey!
on 30-01-2024
My journey at IT began in 2016 as a Ph.D. student in the field of Electrical and Computer engineering.
I became a member of a multimedia signal processing group, having a collaborative and pleasant teamwork environment.
My Ph.D. was supervised by Paula Queluz and João Ascenso, on the topic "Assessment and Optimization of Omnidirectional Images Viewport Rendering". This was a challenging experience that significantly impacted my scientific career and my personal life, providing me with a new set of skills to overcome any future challenges.
Currently, I am a postdoctoral researcher at UiT The Arctic University of Norway, dedicated to the development of computer vision and deep learning techniques within the field of digital pathology. The goal is to enhance the diagnostic decision-making process by leveraging the power of computer vision and deep learning techniques. This allows diagnostic decisions more quantitative, reliable, and faster under the supervision of a pathologist.