Fernando Moreira
Full Professor
fmoreira [at] uportu [dot] pt
Member information
Status
Collaborator
Research Group
Affiliation
UPT - Portucalense University
Ciência ID
Scopus
ORCID ID
Description
Fernando Moreira is a Full Professor at Universidade Portucalense, Portugal, with extensive experience in academic leadership, scientific research, and higher education innovation. He holds a Bachelor’s degree in Computer Science (1992), a Master’s degree in Electronic Engineering (1997), and a PhD in Electronic Engineering (2003), all from the Faculty of Engineering, University of Porto. He obtained his Habilitation in 2018.
He founded the Department of Science and Technology at Universidade Portucalense, established its first engineering degree programmes, and served as Department Head from May 2018 to February 2022. He also coordinated the Master’s programme in Computation for ten years and has extensive experience teaching and supervising postgraduate and doctoral students.
His scientific contributions include over 350 peer-reviewed publications indexed in Scopus, covering computer science, emerging technologies, and digital innovation. His main research interests encompass Digital Transformation, Artificial Intelligence in Higher Education, Machine Learning, and Mobile Computing.
Professor Moreira has extensive international editorial experience, serving on editorial boards and coordinating special issues for prestigious scientific journals, including Telematics and Informatics, Future Generation Computer Systems, Cluster Computing, and Expert Systems. He has also co-edited scientific books and participated in numerous international conferences as Conference Chair, Programme Committee Member, Keynote Speaker, and invited expert.
He is actively involved in research governance as a member of the REMIT Research Centre Steering Committee and maintains professional affiliations with ACM, IEEE, and INSTICC. His international academic engagement includes collaborations with researchers and institutions across different countries.
In recognition of his scientific contributions, he received the prestigious Elsevier Atlas Award in April 2019. His academic career reflects a sustained commitment to research excellence, interdisciplinary collaboration, scientific dissemination, and the advancement of technology-driven innovation in higher education and society
Publications
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2027
Artificial Intelligence Applied to Consumption Forecasting in the Energy Mix: A Bibliometric Analysis Lecture Notes in Networks and Systems, 2093 LNNS, 486–497
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2027
Integrating Ancestral Knowledge and Internet of Things for Sustainable Water Management in the Kisgó Indigenous Community Lecture Notes in Networks and Systems, 2093 LNNS, 668–678
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2027
Narrative-Based Robotic Assistant for Detecting and Alerting Major Depressive Episodes in Youth Lecture Notes in Networks and Systems, 2091 LNNS, 202–214
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2027
Real-Time Assessment of Water Quality Parameters Utilizing Arduino UNO and Sensor Technology Lecture Notes in Networks and Systems, 1965 LNNS, 3–15
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2027
RNA-Protein Interactions Prediction Using LSTM-CNN Technique Lecture Notes in Networks and Systems, 1967 LNNS, 153–164
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2026
A K-Means-Based Strategy for Estimating the MIP in Integrated Information Theory Lecture Notes in Networks and Systems, 1717 LNNS, 531–542
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2026
A novel ensemble transfer learning approach for lung cancer classification using advance VGGNet16 with wavelet transform equalization & CL-PSO Computers in Biology and Medicine, 200, 111338
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2026
Addressing Weight Bias in Clinical Practice: An Educational Proposal Based on Clinical Scenarios and Artificial Intelligence Lecture Notes in Networks and Systems, 1578 LNNS, 73–84
- 2026
- 2026