Manuel Cabral Reis
Associate Professor
mcabral [at] utad [dot] pt
Member information
Status
Integrated Researcher
Research Group
Affiliation
UTAD - University of Trás-os-Montes e Alto Douro
Ciência ID
Scopus
ORCID ID
Description
Manuel J. Cabral S. Reis received his PhD in Electrical Engineering from the University of Aveiro in 2001 and is currently Associate Professor with “Agregação” at the Department of Engineering, School of Science and Technology, University of Trás-os-Montes e Alto Douro (UTAD). He is also an integrated researcher at the Institute of Electronics and Informatics Engineering of Aveiro (IEETA). His research focuses on smart environments, signal and image processing, and the development of multimedia methods and tools for education, particularly the use of digital and Internet-based resources. He has authored more than 190 publications, supervised multiple doctoral and master’s theses, and led over 20 funded projects. He is the inventor on 12 patents and has been recognized with 5 awards. He is an active participant in the international research community, having presented at over 70 events worldwide.
Projects
Publications
-
2026
A comprehensive analysis of in-vehicle communication protocols: Performance benchmarks and security considerations Computers and Electrical Engineering, 134, 111107
-
2026
A Simulation-Driven Trust-Aware Federated Learning Framework for Robust Intelligent IoT Networks Applied Sciences (Switzerland), 16(14), 6865
-
2026
A Two-Stage Hybrid Intrusion Detection System for CAN Bus Based on Statistical Thresholds and Random Forest Classifiers Electronics (Switzerland), 15(11), 2239
-
2026
Advances, Challenges, and Future Directions in IoT Architectures for Smart Environments Signals and Communication Technology, Part F1411, 201–229
-
2026
Compressed Signal Reconstruction in Low-Power IoT Networks: A Comparative Study Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 679 LNICST, 37–48
-
2026
Cybersecurity for 5G-Enabled IoT Ecosystems: Introduction, Challenges, and Solutions Signals and Communication Technology, Part F1411, 3–28
-
2026
Deep Learning-Based Image Reconstruction Under Different Sampling Patterns: A Comparative Study of Direct and Unrolled Architectures Electronics (Switzerland), 15(14), 3136
-
2026
Deep-Learning-Driven Adaptive Filtering for Non-Stationary Signals: Theory and Simulation Electronics (Switzerland), 15(2), 381
-
2026
Design and Evaluation of a Lightweight Cybersecurity Architecture for 5G-Connected IoT in Smart Transportation Lecture Notes in Networks and Systems, 1630 LNNS, 365–377
- 2026