Team
Teresa Gonçalves
Teresa Gonçalves holds a Ph.D. degree in Computer Science from University of Évora. She has been part of the department of Computer Science and professor at the University of Évora since 1999. Her domain of specialization is intelligent systems, especially in Machine Learning, with research interests in the wide field of information extraction and supervised problems applied to medical and Earth observation. [Director]
Luís Rato
Luís Miguel Mendonça Rato holds a Ph.D. in Electrical and Computer Engineering from Instituto Superior Técnico. He has been part of the Department of Informatics and a professor at the University of Évora since November 1999. He conducts research in machine learning, data mining, and image processing. [Deputy director]
José Miguel Gomes Saias
José Saias is an Assistant Professor at the Department of Informatics from the School of Science and Technology, and a researcher at VISTA Lab research unit, both at the University of Évora. [Deputy director]
Daniela Schmidt
Paulo Quaresma
Vítor Beires Nogueira
Vítor Beires Nogueira holds a Ph.D. degree in Computer Science from University of Évora. He has been part of the department of Computer Science since 1998. Presently the Pro-Rector for Digital Transformation and Open Science . His research in the field of Artificial Intelligence includes Knowledge Representation and Reasoning, Logic Programming and Ontologies and recently Natural Language Processing, Machine Learning, Knowledge Graphs and incorporation of AI in the fields like IoT.
Javier Lamar León
João Pereira
Pedro Salgueiro
Pedro Salgueiro is an Assistant Professor at the Computer Science Department of the School of Sciences and Technologies of the University of Évora. Currently is the director of the Computer Science Department. He holds a PhD in Informatics by University of Évora in the area of Declarative Programming applied to Computer Network Security. His research interests include Natural Language Processing, Artificial Intelligence, Internet of Things, Network Security, Declarative Programming and Constraint Programming.
Ana Luisa Leal
Ana holds a Ph.D. in Computer Science from University of Evora. She is an assistant professor in the Department of Portuguese at University of Macau
Iara Almeida
UniALFA Umuarama, Brasil
Artur Vieira
In my thesis “LLM-Powered SQL Dialects Translation”, I address the challenges of automatically converting SQL languages from one dialect to another, and contrast traditional rule-based translation methods with emerging AI-driven approaches using large language models (LLMs) that learn translation patterns from data. By exploring hybrid strategies that combine the reliability of deterministic rules with the flexibility of LLMs.
António Martins
Carolina Carvalho
Daniel Santos
Daniel Santos is a PhD student at the University of Évora, focusing on the use of artificial intelligence and machine learning to predict and prevent student dropout in higher education. His work combines educational data mining, data engineering, and explainable AI to develop early-warning systems and data-driven interventions that support student success.
Evandro Neves Fonseca
João Cardoso
João Cardoso is a research fellow on the project “SenForFire: Cost-Effective Wireless Sensor Networks for Forest Fire Prevention and Early Detection” and a PhD student. His PhD research focuses on the design and development of a declarative platform for the specification and automated orchestration of IoT systems, integrating components such as data ingestion, validation, storage, visualization, and machine learning.
Luís Pereira
Marco Tereso
Pedro Ferreira
Pedro Ferreira is a PhD student in Computer Science at the University of Évora.
His research focuses on applying encoder-based models derived from DeBERTaV2, such as MedialBERTina, to classification tasks, specifically the classification of ICD-10 codes in electronic health records.
Saad Ahmed Jamal
Saad Ahmed Jamal is a PhD student in Computer Science at the University of Évora. His PhD research focuses on Artificial Intelligence for Environmental and Medical Imaging. His research interests include Machine Learning, Computer Vision, Big Data, and High Performance Computing.
Sérgio Veríssimo
Sérgio Veríssimo is a research fellow and PhD candidate in Computer Science. His research focuses on demand forecasting in supply chains using trustworthy artificial intelligence, exploring hybrid approaches that integrate federated learning, deep learning, and explainable AI to address challenges of robustness, privacy, transparency, and regulatory compliance.
