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I hold a Master's degree in Chemical Engineering from the University of Coimbra (2009) and a PhD in Agricultural Sciences from the University of Trás-os-Montes and Alto Douro (2022). With extensive experience in data analysis and modeling, I specialize in applying machine learning and deep learning techniques, particularly in precision viticulture and hyperspectral imaging. My research interests encompass big data, metadata, data mining, data modeling, data visualization, exploratory data analysis, optimization, design of experiments, pattern recognition, multivariate statistical analysis, machine learning, deep learning, digital image processing, imaging sensing technologies, statistical computing, chemometrics, and bioinformatics.
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Identificação

Identificação pessoal

Nome completo
VERONIQUE IMPERATRIZ MEDEIROS GOMES

Nomes de citação

  • Gomes, Véronique

Identificadores de autor

Ciência ID
091E-BCE4-873B
ORCID iD
0000-0002-1281-4760

Endereços de correio eletrónico

  • veroniqueg@utad.pt (Profissional)

Telefones

Telemóvel
  • 964792615 (Pessoal)

Moradas

  • Estrada Nacional 15, n.1, Lamas de Orelhão, 5370-152, Lamas de Orelhão, Mirandela, Portugal (Pessoal)

Websites

Domínios de atuação

  • Ciências Agrárias

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português (Idioma materno)
Inglês Utilizador independente (B2) Utilizador independente (B2) Utilizador independente (B2) Utilizador independente (B2) Utilizador independente (B2)
Formação
Grau Classificação
2017/01/01 - 2022/04/05
Concluído
 International Doctoral Programme “Agricultural Production Chains – from fork to farm” (Doutoramento)
Universidade de Trás-os-Montes e Alto Douro, Portugal
"Spectroscopy Data-Driven Models for Grape Quality Assessment in Precision Viticulture" (TESE/DISSERTAÇÃO)
2009/03/16
Concluído
 Engenharia Bioquímica (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Genomic Data Analysis" (TESE/DISSERTAÇÃO)
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2023/03/01 - Atual Investigador Contratado (Investigação) Universidade de Trás-os-Montes e Alto Douro, Portugal
Universidade de Lisboa Instituto de Biossistemas e Ciências Integrativas, Portugal
2022/02/01 - 2023/02/28 Gestão de Ciência e Tecnologia Universidade de Trás-os-Montes e Alto Douro, Portugal
Universidade de Trás-os-Montes e Alto Douro Centro de Investigação e de Tecnologias Agro-Ambientais e Biologicas, Portugal
2014 - 2021 Investigador (Investigação) Universidade de Trás-os-Montes e Alto Douro, Portugal
Universidade de Trás-os-Montes e Alto Douro Centro de Investigação e de Tecnologias Agro-Ambientais e Biologicas, Portugal
2010 - 2013 Investigador (Investigação) Universidade de Coimbra, Portugal
Associação Para o Desenvolvimento da Engenharia Química, Portugal
Projetos

Bolsa

Designação Financiadores
2016 - 2016 INTERACT - Integrative Research in Environment, Agro-Chains and Technology
NORTE-01-0145-FEDER-000017
Bolseiro de Investigação
Concluído
2012/04 - 2015/06 Hyper - Application of Hyperspectral Imaging and Neural Networks to Viticulture
Provided by PTCRIS: 121056
 Governo da República Portuguesa Ministério da Ciência Tecnologia e Ensino Superior
2014 - 2015 ENOEXEL, From Vineyard to Wine: Targeting Grape and Wine Excellency
NORTE-01-0124-FEDER-000033
Bolseiro de Investigação
Concluído
2010/06 - 2013/11 Development of an unified framework for the integrated multivariate and multiscale monitoring of profiles
Provided by PTCRIS: 108597
 Governo da República Portuguesa Ministério da Ciência Tecnologia e Ensino Superior

Projeto

Designação Financiadores
2023/03/01 - Atual Vine & Wine Portugal - Driving Sustainable Growth Through Smart Innovation
02/C05-i01/2022
Investigador
Em curso
2022 - 2023 MultiCam – Low Cost Multispectral Camera
POCI-01-0247-FEDER-069271
Investigador
Concluído
Produções

Publicações

Artigo em conferência
  1. Gomes, Véronique. "Towards robust Machine Learning models for grape ripeness assessment". 2021.
    10.1109/jcsse53117.2021.9493822
  2. Lucca, G.; Antonio Sanz, J.; Bustince, H.; Dimuro, G.P.; Gomes, V.; Constantino Madureira, R.C.; Melo-Pinto, P.. "Applying aggregation and pre-aggregation functions in the classification of grape berries". 2018.
    10.1109/Fuzz-Ieee.2018.8491536
  3. Rato, T.; Rendall, R.; Gomes, V.; Chin, S.-T.; Chiang, L.H.; Saraiva, P.; Reis, M.. "An extensive comparison study of batch process monitoring approaches". 2015.
  4. Gomes, V. M.; Fernandes, A. M.; Faia, A.; Melo-Pinto, P.. "Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies". 2014.
    10.1109/CIES.2014.7011850
  5. Veronique M. Gomes; Armando M. Fernandes; Arlete Faia; Pedro Melo-Pinto. "Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies". 2014.
    10.1109/cies.2014.7011850
Artigo em revista
  1. Rui Dias Costa; Raúl Domínguez-Perles; Ana Abraão; Véronique Gomes; Irene Gouvinhas; Ana Novo Barros. "Exploring the Antioxidant Potential of Phenolic Compounds from Winery By-Products by Hydroethanolic Extraction". Molecules (2023): https://doi.org/10.3390/molecules28186660.
    10.3390/molecules28186660
  2. Véronique Gomes; Ricardo Rendall; Marco Seabra Reis; Ana Mendes-Ferreira; Pedro Melo-Pinto. "Determination of Sugar, pH, and Anthocyanin Contents in Port Wine Grape Berries through Hyperspectral Imaging: An Extensive Comparison of Linear and Non-Linear Predictive Methods". Applied Sciences (2021): https://doi.org/10.3390/app112110319.
    10.3390/app112110319
  3. Véronique Gomes; Marco S. Reis; Francisco Rovira-Más; Ana Mendes-Ferreira; Pedro Melo-Pinto. "Prediction of Sugar Content in Port Wine Vintage Grapes Using Machine Learning and Hyperspectral Imaging". Processes (2021): https://www.mdpi.com/2227-9717/9/7/1241.
    10.3390/pr9071241
  4. Gomes, Véronique. "Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries". Sensors 21 10 (2021): 3459-3459. http://dx.doi.org/10.3390/s21103459.
    10.3390/s21103459
  5. Tiago J. Rato; Ricardo Rendall; Veronique Gomes; Pedro M. Saraiva; Marco S. Reis. "A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part II—Assessing Detection Speed". Industrial & Engineering Chemistry Research 57 15 (2018): 5338-5350. https://doi.org/10.1021%2Facs.iecr.7b04911.
    10.1021/acs.iecr.7b04911
  6. Rui Silva; Véronique Gomes; Arlete Mendes-Faia; Pedro Melo-Pinto. "Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries". Remote Sensing 10 2 (2018): 312-312. https://doi.org/10.3390%2Frs10020312.
    10.3390/rs10020312
  7. Véronique Gomes; Armando Fernandes; Paula Martins-Lopes; Leonor Pereira; Arlete Mendes Faia; Pedro Melo-Pinto. "Characterization of neural network generalization in the determination of pH and anthocyanin content of wine grape in new vintages and varieties". Food Chemistry 218 (2017): 40-46. https://doi.org/10.1016/j.foodchem.2016.09.024.
    10.1016/j.foodchem.2016.09.024
  8. Gomes, V.M.; Fernandes, A.M.; Faia, A.; Melo-Pinto, P.. "Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging". Computers and Electronics in Agriculture 140 (2017): 244-254. http://www.scopus.com/inward/record.url?eid=2-s2.0-85020856321&partnerID=MN8TOARS.
    10.1016/j.compag.2017.06.009
  9. Rato, Tiago J.; Rendall, Ricardo; Gomes, Veronique; Chin, Swee-Teng; Chiang, Leo H.; Saraiva, Pedro M.; Reis, Marco S.. "A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part I—Assessing Detection Strength". Industrial & Engineering Chemistry Research (2016):
    10.1021/acs.iecr.5b04851
  10. Gomes, V.; Fernandes, A.; Faia, A.; Pinto, P. M.; Destech Publicat, Inc. "A Comparison of Neural Networks and Partial Least Squares for Estimation of Sugar Content in Wine Grape Berries Using Hyperspectral Imaging". International Conference on Computer Science and Environmental Engineering (Csee 2015) (2015): 1052-1059. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000361831900139&KeyUID=WOS:000361831900139.
  11. Gomes, Véronique M.; Pereira, Ana C.; Saraiva, Pedro M.; Reis, Marco S.. "Development of Generalized Platforms for the Analysis of Complex Datasets". Quality and Reliability Engineering International 28 5 (2012): 508-523. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000306899000004&KeyUID=WOS:000306899000004.
    10.1002/qre.1443
Capítulo de livro
  1. Moita, Raquel D.; Gomes, Véronique M.; Saraiva, Pedro M.; Reis, Marco S.. "An Extended Comparative Study of Two- and Three-Way Methodologies for the On-line Monitoring of Batch Processes". editado por Jirí Jaromír Klemeš, Petar Sabev Varbanov; Peng Yen Liew, 517-522. 2014.
    http://dx.doi.org/10.1016/B978-0-444-63456-6.50087-9
  2. Moita, R.D.; Gomes, V.M.; Saraiva, P.M.; Reis, M.S.. "An Extended Comparative Study of Two- and Three-Way Methodologies for the On-line Monitoring of Batch Processes". 517-522. 2014.
    10.1016/B978-0-444-63456-6.50087-9
Livro
  1. Fernandes, A.; Gomes, V.; Melo-Pinto, P.. A review of the application to emergent subfields in viticulture of local reflectance and interactance spectroscopy combined with soft computing and multivariate analysis. 2018.
    10.1007/978-3-319-62359-7_5

Outros

Outra produção
  1. Unleashing Winemaking's Hidden Power: By-Products As Antioxidant-Rich Bioactive Sources.. Proceedings. 2023. Dias Costa, Rui; Abraão, Ana; Gomes, Véronique; Irene Gouvinhas; Ana Novo Barros.
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2019/12/13 Wine grape ripeness assessment using HIS and Artificial Intelligence Digital Agro-Food & Floresty (r)evolution
UTAD (Vila Real, Portugal)
2019/11/20 Wine grape quality assessment using hyperspectral imaging bits.utad2019
UTAD (Vila Real, Portugal)
2019/05/22 Wine grape ripeness assessment using Hyperspectral imaging Enoforum 2019
(Vicenza, Itália)
2018/11/08 Wine grape quality assessment using hyperspectral imaging: A predictive analytics comparison framework International Congress on Grapevine and Wine Science
Instituto de las Ciencias de la Vid y del Vino (Logroño, Espanha)
2016/05/27 A systematic evaluation and comparison of predictions methods for assessing grapes' ripeness based on intelligent spectral image systems CITAB's Science Release
CITAB (Vila Real, Portugal)
2016/05/27 A systematic evaluation and comparison of predictions methods for assessing grapes' ripeness based on intelligent spectral image systems CITAB's Science Release
Universidade de Trás-os-Montes e Alto Douro
2015 A comparison of neural networks and partial least squares for estimation of sugar content in wine grape berries using hyperspectral imaging AECA2015 - International Conference on agricultural Engineering and Computer Application
AECA2015 (Hong Kong, China)
2014 Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies IEEE SSCI 2014 – IEEE Symposium Series on Computational Intelligence
IEEE (Orlando, Estados Unidos)
2014 Comparison of different approaches for the prediction of sugar content in whole Port wine grape berries using hyperspectral imaging ENBIS-14 – 14th Annual ENBIS Conference
ENBIS (Linz, Áustria)
2014 An Extended Comparative Study of Two- and Three-Way Methodologies for the On-line Monitoring of Batch Processes 24th European Symposium on Computer Aided Chemical Engineering
(Budapest, Hungria)
2013 A Comparison of two and Three-way Methodologies for On-line Batch Process Monitoring ENBIS13 – 13th Annual ENBIS Conference
(Ankara, Turquia)
2011 A Comparison of Two-way and Three-way Methodologies for the Prediction of Wine Age ENBIS-11 – 11th Annual ENBIS Conference
(Coimbra, Portugal)
2011 Towards a systematization of profile analysis methods as a basis for the development of flexible and generalized data analysis frameworks ENBIS-11 – 11th Annual ENBIS Conference
(Coimbra, Portugal)
2011 A Comparison Study of Several Multiway Calibration Methodologies CHEMPOR 2011 – 11th International Chemical and Biological Engineering Conference
(Lisboa, Portugal)

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2024/11 - Atual Sistema de Publicação de Coleções de Culturas de Microrganismos
Coorientador
Universidade de Trás-os-Montes e Alto Douro, Portugal
2023/10 - 2024/12/20 Gestão e publicação de uma Coleção de Culturas Microbianas para o sector Vitivinícola
Coorientador
 Mestrado em Engenharia Informática (Mestrado)
Universidade de Trás-os-Montes e Alto Douro, Portugal
2023 - 2024 Gestão Web de Equipamentos Laboratoriais
Orientador
 Licenciatura em Bioengenharia (Licenciatura/Bacharelato)
Universidade de Trás-os-Montes e Alto Douro, Portugal
2023 - 2024 Desenvolvimento de uma aplicação android para categorização e manutenção de equipamentos de laboratório
Orientador
 Licenciatura em Bioengenharia (Licenciatura/Bacharelato)
Universidade de Trás-os-Montes e Alto Douro, Portugal

Entrevista (jornal / revista)

Descrição da atividade Jornal / Forum
2018 Promotional video of the oral presentation delivered at the "International Congress on Grapevine and Wine Science" https://www.infowine.com/en/infowine_premium/wine_grape_quality_assessment_using_hyperspectral_imaging_–_a_predictive_analytics_comparison_framework_sc_18073.htm

Entrevista / Programa (rádio / tv)

Programa Tema
2022/12/13 - Atual TEC3 da RTP3 Disseminação das atividades de investigação realizadas no âmbito do projeto MultiCam
2015 - Atual Agrofood_3.0, Flash News with Véronique Gomes on research developed for assessing grape ripening profiles using image-based systems combined with robust data analysis tools.
Distinções

Prémio

2017 Best Project Award at 5th edition of VISUM – a Summer School on Vision Understanding and Machine Intelligence

Outra distinção

2019 Top 5 best works of the 4th SIVE Award “International Research for Development” - OENOPPIA Award 2019