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Prof. Luiz Faria
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Academic Career Length
29Years (1998-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications17 April 2009 in IEEE Transactions on Learning Technologies
Journal Article
The activity of control center operators is important to guarantee the effective performance of power systems. Operators' actions are crucial to deal with incidents, especially severe faults like blackouts. In this paper, we present an intelligent tutoring approach for training Portuguese control center operators in tasks like incident analysis and diagnosis, and service restoration of power systems. Intelligent tutoring system (ITS) approach is used in the training of the operators, having into account context awareness and the unobtrusive integration in the working environment. Several artificial intelligence techniques were criteriously used and combined together to obtain an effective intelligent tutoring environment, namely multiagent systems, neural networks, constraint-based modeling, intelligent planning, knowledge representation, expert systems, user modeling, and intelligent user interfaces.
1 September 1998 in Computers in Industry
Journal Article
Zita ValeMFM.FErnanda Fernandes
M.FErnanda Fernandes
CRCouto Rosado
Couto Rosado
AMAlbino Marques
Albino Marques
Carlos RamosLFLuiz Faria
Luiz Faria1 January 2011
Book Chapter
1 January 2011
Book Chapter
CMConstantino Martins
Constantino MartinsPCPaulo Couto
Paulo CoutoMFMarta Fernandes
Marta FernandesCBCristina Bastos
Cristina BastosCLCristina Lobo
Cristina LoboECEurico Carrapatoso
Eurico Carrapatoso +1
1 July 2008
Conference Paper
GSGustavo Santos
Gustavo Santos
AGAntonio Gomes
Antonio Gomes
LFLuiz Faria
Luiz Faria
Sérgio RamosZita ValeDesigning electric installation projects, demands not only academic knowledge, but also other types of knowledge not easily acquired through traditional instructional methodologies. A lot of additional empirical knowledge is missing and so the academic instruction must be completed with different kinds of knowledge, such as real-life practical examples and simulations. On the other hand, the practical knowledge detained by the most experienced designers is not formalized in such a way that is easily transmitted. In order to overcome these difficulties present in the engineers formation, we are developing an Intelligent Tutoring System (ITS), for training and support concerning the development of electrical installation projects to be used by electrical engineers, technicians and students.
1 September 2011
Conference Paper
LFLuiz Faria
Luiz FariaASA. Silva
A. Silva
Carlos Ramos
Luis GomesZita ValeAMA. Marques
A. Marques
This paper deals with the application of an intelligent tutoring approach to delivery training in diagnosis procedures of a Power System. In particular, the mechanisms implemented by the training tool to support the trainees are detailed. This tool is part of an architecture conceived to integrate Power Systems tools in a Power System Control Centre, based on an Ambient Intelligent paradigm. The present work is integrated in the CITOPSY project which main goal is to achieve a better integration between operators and control room applications, considering the needs of people, customizing requirements and forecasting behaviors.
About Me
Luiz Faria holds a PhD in Electrical and Computer Engineering from the University of Porto in the area of Intelligent Tutors. He is an Associate Professor of the Computer Engineering Department of the Instituto Superior de Engenharia do Porto / Instituto Politécnico do Porto (ISEP) since 2020, having been Head of the Department between 2014 and 2020. He is a lecturer at ISEP since 1995 where he has taught subjects in the areas of Artificial Intelligence and Programming. He develops his research activities in GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development since its foundation in 2001. Since 1995 he has participated in and coordinated several R&D projects in the field of Artificial Intelligence and, in particular, in the areas of Knowledge Engineering, Decision Support Systems and Automatic Learning, related to the development of applications for the operation of Electrical Energy Systems, Decision Support Systems, Intelligent Tutors, Learning Support Systems and Natural Language Processing. These projects involved academic and industry partners. He received an award for his master's thesis in the area of Adaptive Interfaces. He has published papers in scientific journals, conference proceedings and book chapters (orcid.org/0000-0002-1169-7785).