The 9th edition of the Young Engineers Forum in Electrical and Computer Engineering (YEF-ECE 2025) took place on July 4th and featured a strong representation from ISEL. This international event, dedicated to the dissemination of research work developed by master's and doctoral students in the fields of electrical and computer engineering, hosted numerous high-quality presentations, where ISEL students distinguished themselves for their technical rigor, innovation, and communication skills.ISEL was represented by more than a dozen presentations from the MEET, MEIC, MEIM, MEB, MEE and LEETC programs, contributing to a particularly enriching day in terms of scientific discussion and knowledge sharing.One of the highlights was the presentation by Gonçalo Galvão, a former student of the ISEL Master's in Electronic and Telecommunications Engineering (MEET) and current doctoral student, who presented the paper entitled "Integration of Visible Light Communication and Deep Reinforcement Learning to Enhance Urban Traffic Management." The presentation stood out for highlighting the continuity, maturity, and quality of the research initiated at ISEL, reflecting the institution's commitment to advanced training and technological innovation.Also noteworthy is the participation of the following finalist students, who presented papers of recognized merit:Eduardo Marcelo Serra (MEET) – Design of a Multichannel Biosensor based on Directional CouplersMarco Costa Pinto (MEET) – Smart Object Detector System for Visually ImpairedErnesto Velazquez (MEET) – Design of a 2x2 Programmable Matrix of Silicon Photonic Switches based on Mach-Zehnder Interferometer Structures using the Thermo-Optic EffectRuben Azevedo (MEET) – Low-Power IoT Seismic Detection with Machine Learning IntegrationAfonso Gaspar (LEETC) - Decoding Algorithms for Urban Traffic Management System supported by Visible Light CommunicationAntónio Carvalho (MEIC) - Fast Semantic Segmentation of Medical ImagesJoão Silva (MEIC) - A Unified Communication Architecture for Smart Locker Networks and Mobile AccessLetícia Lucas (MEIM) - Cross-Device Platform for Collaborative and Immersive Experiences in Mixed RealityTiago Gonçalves (MEIM) - Continuous Sign Language Recognition through Transformers and MediaPipe LandmarksTiago Silva (MEIM) - Red Light Running Detection Using AI-Powered Object Tracking on Embedded SystemsBruna Alves (MEB) - A Wearable IoT-Based System for Gait Cycle Duration and Symmetry Assessment in Lower-Limb AmputeesWaldemiro Kubucama (MEE) - Efficiency Map of Synchronous Reluctance Motor (SynRM) through Two-Dimensional Finite Element AnalysisRodrigo Beato (MEE) - Permanent Magnet-Assisted Synchronous Reluctance Motor for Traction SystemsAlso worth highlighting is the participation of student Afonso Gaspar, from the Electronics, Telecommunications, and Computer Engineering (LEETC) program, whose presentation was based on the work developed in his project. Their presence in a forum predominantly focused on master's and doctoral students is a source of special pride for ISEL.These works reflect ISEL's strong commitment to scientific excellence, demonstrating the ability of its students to contribute innovative and relevant technological solutions to the field of engineering.

During the month of June, ISEL welcomed five students from the ERASMUS+ program who participated in a research project in the area of Recommender Systems. Under the guidance of Professor Matilde Pato (DEI/ISEL) and Professor Nuno Datia (DEI/ISEL), the students collaborated on the validation of a new methodology based on Topic Modeling, developed as part of a master's thesis.The main objective of the project was to test the effectiveness of the proposed approach—Topic Modeling-Based Recommendation System—by applying it to benchmark datasets. To this end, the students analyzed different datasets, contributing to strengthening the robustness and applicability of the model.The students involved were Alberto da Ros, Leonardo Macron, Matteo Galana, Ricardo Tonetto, and Zaid Morsi. The project was conducted with daily monitoring and access to all necessary materials, ensuring an environment conducive to collaborative learning and research. All documentation and code developed were organized in a GitHub repository, which will be made public soon.This project also had the support of Professor Alessandro Fantoni (DEETC/ISEL) and Professor Mário Véstias, president of DEETC/ISEL.