Professors Antonio and Fabrício are restructuring LSIIM, which will soon be renamed VISIA Lab — a modern and transversal name that spans different spheres of application and integrates multiple fields of knowledge.

The Laboratory of Signals, IoT and Images (LSIIM), affiliated with the Department of Computing (DEC) at UFSC, was founded in 2022 and focuses its R&D efforts primarily in the fields of Industry, Agriculture, and Health.

We apply techniques of Digital Signal and Image Processing, Computer Vision, and Artificial Intelligence — both classical and state-of-the-art (SOTA) — to solve real-world problems.

Our main partners and sponsors are government agencies and technology-based companies that engage in research projects with the laboratory and seek to support the training of qualified Computer Engineers.

Is your company or organization seeking academic research, product development, or collaboration in publicly funded projects ?  We are ready to partner with you !

https://www.instagram.com/lsiim.ufsc/

Dear Researchers and Academic Community,

The Laboratory of Signals, IoT, and Images (LSIIM) was founded at the end of 2022 and develops R&D in partnership with technology companies, drone manufacturers, and government agencies.

We would like to publicly announce this call for the selection of research fellows in the areas of 3D Reconstruction/Modeling, Computer Vision, and Back-End Development. Interested candidates should submit their résumé and an undergraduate transcript summary to the email address <a.sobieranski@ufsc.br> with the subject line: “LSIIM Call 03/25 Position Profile #1”, “LSIIM Call 03/25 Position Profile #2”,  “LSIIM Call 03/25 Position Profile #3” or “LSIIM Call 03/25 Volunteer Position Profile #4.”

For all fellowship positions, the workload is 20 hours per week, to be carried out at the LSIIM Laboratory, Jardim das Avenidas, Room A301, UFSC-Araranguá. Candidates selected for the next stage will be notified by email. We strongly recommend that applicants include in their résumé a list of previous projects (personal, academic, or professional) related to the field, as this can demonstrate their skills and experience, thereby strengthening their application.

Students holding scholarships in other research or extension projects at DEC are not eligible. To apply, they must terminate their current scholarship before submitting their application.

The activities for all positions will start on October 1st, 2025, with a duration (for scholarship profiles) until March 2027 (subject to a further 12-month category adjustment, depending on performance).

Further information is available in the official call notice: lsiim0325

On August 21 and 22, we had the honor of delivering the keynote lecture: Application of Artificial Intelligence and Computer Vision Technologies in Precision Agriculture with Drones, at the International Drone Symposium, organized by the National Institute of Agricultural Technology of Argentina (INTA) and the Rural Society of Tucumán. It was a highly enriching experience, in which we had the opportunity to represent our institution, UFSC, along with project partners, as well as to learn about the excellent initiatives being developed by INTA.

Dear Researchers and Academic Community,

The LSIIM (www.lsiim.ufsc.br), the Laboratory for Signals, IoT, and Images, was established in late 2022 and conducts research and development in partnership with technology companies, drone manufacturers, and governmental agencies.

We are pleased to announce this public call for the selection of research fellows in the fields of Computational Intelligence (Image and Vision) and Backend+AI development. Applicants should submit their curriculum vitae and an academic transcript summary to a.sobieranski@ufsc.br, using the subject line:  “Chamada LSIIM 02/25 Vaga Perfil #1”, “Chamada LSIIM 02/25 Vaga Perfil #2”.

All positions require a workload of 20 hours per week, to be carried out at the LSIIM Laboratory, Jardim das Avenidas, Room A301, UFSC–Araranguá. Candidates selected for the next stage will be contacted via email. We strongly encourage applicants to include in their CV a list of projects related to Backend and/or Image and Computer Vision, whether personal, academic, or professional. This practice may highlight their skills and experience, thereby strengthening their application.

The start date for activities is September 1st, 2025, with an initial duration of 10 months. Continuation for both positions will depend on the researcher’s performance.

Information here: lsiim0225.

Dear Students,

The LSIIM (www.lsiim.ufsc.br) is a UFSC laboratory dedicated to Research and Development of technological solutions in partnership with companies and funding agencies in the fields of Agriculture, Medicine, and Industry.

We have an open call for research fellow selection for a project in the area of Precision Agriculture with Drones, Development of Georeferencing and Visualization Tools, Computer Vision, and Artificial Intelligence. The project offers paid research fellow positions in four different profiles.

Pay attention to the submission deadlines. Candidates must send their résumé and an academic transcript summary to <a.sobieranski@ufsc.br> with the subject: “Chamada LSIIM 01/25 Vaga Perfil #1”, “Chamada LSIIM 01/25 Vaga Perfil #2”, “Chamada LSIIM 01/25 Vaga Perfil #3”, ou “Chamada LSIIM 01/25 Vaga Perfil #4”.

For all positions, the workload is 20 hours per week, to be carried out at the LSIIM Laboratory, Jardim das Avenidas, Room A301, UFSC-Araranguá. Interviews will take place shortly after the application deadline, and selected candidates will be notified by email regarding their scheduling.

The estimated start date for activities is April 1st, 2025, with a maximum scholarship duration of 33 months.

For more information, please refer to the document available at the link: LSIIM0125

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.