José Valente de Oliveira (0000-0001-5337-5699)

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Biography

José Valente de Oliveira received the Hab. in Informatics Engineering (2022) from University of Algarve, Ph.D. (1996), M.Sc. (1992), and a (5-years) Licentiate in Electronics and Computer Engineering (1988), all from the IST, University of Lisbon. Currently he is an Associate Professor at the Faculty of Sciences and Technology of the University of Algarve where he serves as the Head of the Department of Electronics and Informatics Engineering and as the Director of the PhD Program in Informatics Eng. In the past he served as Deputy Dean (2000-2003) and President of the Pedagogical Board (2010-2011). His research interests are in the interdisciplinary areas of generative artificial intelligence, machine learning, and natural computing. José Valente de Oliveira is an integrated member of Nova-Lincs research center (UAlg branch) and a collaborator of the Center of Intelligent Systems , idMEC, a research Institute member of the Associated Laboratory for Energy, Transports and Aeronautics (LAETA) where he was an integrated member from 2020 to 2023. José Valente de Oliveira serves in the editorial board of several WoS journals, is an editor of the books Advances in Fuzzy Clustering and Its Applications, Wiley 2007; and Human-Computer Interaction: The Agency Perspective, Springer, 2012. He has been listed as one of the top 2% world scientists with career-long citation impact (2019, 2020, 2023) and with citation impact during a single calendar year in Information & Communication Technologies, subfield: Artificial Intelligence & Image Processing, according to a Stanford University study and its successive updates. He was a visiting Faculty at University of Alberta (2005), Universidade Nacional de Timor Loro Sae (2005), Carnegie Mellon University (2012), Universidade Federal do Ceará (2013), an Ecuador Prometeo Researcher at UPS (2015), and Chongqing Technology and Business University (2017).

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Universidade do Algarve - Campus de Gambelas: Faro, PT

2023-01-02 to present | Professor associado com agregação (Faculdade de Ciências e Tecnologia)

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José Valente de Oliveira

https://orcid.org/0000-0001-5337-5699

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Employment (2)

Universidade do Algarve - Campus de Gambelas: Faro, PT

Universidade do Algarve: Faro, PT

Education and qualifications (2)

University of Algarve: Faro, PT

Universidade de Lisboa Instituto Superior Técnico: Lisboa, Lisboa, PT

Funding (10)

H2tALENT - Project 101137611

Deep generative models for data augmentation in fault detection

SEA-EU 2.0 Alliance

ERASMUS+ ADVANCED COMPUTING CONSORTIUM (AdvCC)

Project 10ID00214 EUROHPC phase 2

Associate Laboratory of Energy, Transports and Aeronautics

Centro de Electrónica, Optoelectrónica e Telecomunicações

Multimodal Deep Learning of Deterioration and Fault Prognosis for Wind Turbine Drivetrains

Desarrollo de técnicas y tecnologias para el mantenimiento basado en condicion de equipos rotativos, como contribucion a la eficiencia energética industrial

A sparse coding hierarchy for realtime object recognition in complex scenes

Works (50 of 100)

On the Effect of Loss Function in GAN Based Data Augmentation for Fault Diagnosis of an Industrial Robot

Embedding a Real-Time Strawberry Detection Model into a Pesticide-Spraying Mobile Robot for Greenhouse Operation

A super resolution method based on generative adversarial networks with quantum feature enhancement: Application to aerial agricultural images

Wind turbine gearbox fault identification with 1D CNNs

Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot

VGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis

Feature discovery in NIR spectroscopy based Rocha pear classification

One-Shot Fault Diagnosis of Three-Dimensional Printers Through Improved Feature Space Learning

Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals

Automatic Acoustic Target Detection and Classification off the Coast of Portugal

Exploiting Generative Adversarial Networks as an Oversampling Method for Fault Diagnosis of an Industrial Robotic Manipulator

Addressing Unequal Area Facility Layout Problems with the Coral Reef Optimization algorithm with Substrate Layers

Deep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals

A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis

Applying the Coral Reefs Optimization Algorithm for solving Unequal Area Facility Layout Problems

A Review on Neurocomputing Based wind Turbines Fault Diagnosis and Prognosis

Advances in intelligent computing for diagnostics, prognostics, and system health management

GKFP: A New Fuzzy Clustering Method Applied to Bearings Diagnosis

Predictive Control

A comparison of fuzzy clustering algorithms for bearing fault diagnosis

A fuzzy transition based approach for fault severity prediction in helical gearboxes

An adaptive genomic difference based genetic algorithm and its application to memetic continuous optimization

A review on data-driven fault severity assessment in rolling bearings

A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction

Proceedings of the 2017 International Conference on Sensing, Diagnosis, and Control (SDPC 2017)

Some Preliminary Results on the Comparison of FCM, GK, FCMFP and FN-DBSCAN for Bearing Fault Diagnosis

A TSS classification study of ‘Rocha’ pear ( Pyrus communis L.) based on non-invasive visible/near infra-red reflectance spectra

Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation

A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification

Particle Swarm Clustering in clustering ensembles: Exploiting pruning and alignment free consensus

Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery

Synthesis of probabilistic fuzzy classifiers using GK clustering and Bayesian estimation

A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery

Clustering algorithm using rough set theory for unsupervised feature selection

Extracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram

A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions

On asynchronous parallelization of order-based GA over grid-enabled heterogenous commodity hardware

Observer-biased bearing condition monitoring: From fault detection to multi-fault classification

Fuzzy determination of informative frequency band for bearing fault detection

Observer-Biased Analysis of Gene Expression Profiles

On the model updating operators in univariate estimation of distribution algorithms

Observer-Biased Fuzzy Clustering

Human-Computer Interaction: The Agency Perspective

Preface

Preface: Human-Computer Interaction: The agency perspective

Semantic Driven Fuzzy Clustering for Human- Centric Information Processing Applications

Semantic driven fuzzy clustering for human-centric information processing applications

A development of fuzzy encoding and decoding through fuzzy clustering

A fuzzy clustering algorithm with a variable focal point

Fuzzy Clustering as a Data-Driven Development Environment for Information Granules

Peer review (589 reviews for 69 publications/grants)