Fabricio is a Lecturer in Digital Signal Processing at Queen Mary University of London (QMUL), www.qmul.ac.uk. Queen Mary University of London (QMUL) is a leading UK institution known for its excellence in research, teaching, and innovation. A member of the Russell Group, QMUL is ranked among the top universities in the world, offering a diverse range of undergraduate and postgraduate programs across science, engineering, humanities, and medicine.

At QMUL, Fabricio teaches Fundamentals of DSP and Deep Learning Neural Networks, preparing students for careers in signal processing and AI. He also serves as the Programme Director of the BSc in Information Computational Science and the Deputy Chair of the Subject Examination Board (SEB), ensuring academic excellence and rigorous assessment standards.

Dear Academic Community,

We would like to inform you that we have moved to Jardim das Avenidas, Room 301-A, to better serve you and accommodate our research. We are still in the process of adjusting to our new physical space, which will be resolved over the course of the year. We remind you that 2025 will be a special year, with new projects in development and scholarship opportunities.

Our page is also undergoing a significant content update starting on 02/24/2025. Soon, all content will be updated.

Our students Rodrigo Ferraz Souza and Manoella Rockembach, have published their research through two articles at the IEEE CBMS 2024, computational event in the medical field that is now in its 37th edition. Additionally, according to ENC regiment, the papers, being classified as qualis A3 International, can be used for validation as a final course project.

Congratulations to Rodrigo and Manoella for their publications.

Welcome to the Signals, IoT and Images Laboratory – LSIIM.

Our research’s scope are: Signal and Image processing in general, including the power of the Internet of Things (IoT) .

We focuses on Health, Digital Industry, Precision Agriculture, among others.