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Joana Peres (http://orcid.org/0000-0001-5165-2488), assistant professor of the Chemical Engineering Department of FEUP and member of the Process Engineering, Environment, Biotechnology and Energy Laboratory (LEPABE), has a degree in Mathematics - applied mathematics from the Faculty of Sciences of the University of Porto and a PhD in Chemical Engineering from the University of Porto. She has taught mathematics, statistics, and programming for almost twenty years. Her main research interests are multi-variable statistical models applied to chemical and biological processes.
Identification

Personal identification

Full name
Joana Peres

Citation names

  • Peres, J.

Author identifiers

Ciência ID
AA14-1695-765E
ORCID iD
0000-0001-5165-2488
AuthenticusID
R-000-BTE
Scopus Author Id
35820227900

Languages

Language Speaking Reading Writing Listening Peer-review
English Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Projects

Contract

Designation Funders
2021/01/01 - 2025/12/31 ALICE - Laboratório Associado em Engenharia Química
LA/P/0045/2020
10.54499/LA/P/0045/2020
Researcher
Universidade do Porto Laboratorio de Engenharia de Processos Ambiente Biotecnologia e Energia, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal

Universidade do Porto Centro de Estudos de Fenómenos de Transporte, Portugal

Universidade do Porto Laboratório de Processos de Separação e Reacção Laboratório de Catálise e Materiais, Portugal

Instituto Politécnico de Leiria, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2020/01/01 - 2023/12/31 Laboratório de Engenharia de Processos, Ambiente, Biotecnologia e Energia
UIDB/00511/2020
10.54499/UIDB/00511/2020
Researcher
Universidade do Porto Laboratorio de Engenharia de Processos Ambiente Biotecnologia e Energia, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2020/01/01 - 2023/12/31 Laboratório de Engenharia de Processos, Ambiente, Biotecnologia e Energia
UIDP/00511/2020
10.54499/UIDP/00511/2020
Researcher
Universidade do Porto Laboratorio de Engenharia de Processos Ambiente Biotecnologia e Energia, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2016/10/01 - 2020/12/31 Harvesting and storage of solar energy
SAICTPAC/0046/2015
Universidade de Coimbra, Portugal

Universidade Nova de Lisboa Associação para a Inovação e Desenvolvimento da FCT, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2010/05 - 2013/10 SAFEPINE - assessment of contamination of forests by emerging pollutants
grant.Provided by PTCRIS: 102597
PTDC/AGR-CFL/102597/2008
Universidade do Porto Laboratorio de Engenharia de Processos Ambiente Biotecnologia e Energia, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
The Foundation for Science and Technology

Fundação para a Ciência e a Tecnologia
Concluded
2011/01/01 - 2012/12/31 Projecto Estratégico - UI 511 - 2011-2012
PEst-C/EQB/UI0511/2011
Universidade do Porto Laboratorio de Engenharia de Processos Ambiente Biotecnologia e Energia, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2005/06/01 - 2007/12/31 Automação Avançada de Processos Biológicos Baseada em Sistemas Híbridos do Tipo Caixa Cinzenta
POCI/BIO/56571/2004
Instituto de Biologia Experimental e Tecnológica, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Book
  1. Martins, F.G.; Gonçalves, D.J.D.; Peres, J.. Artificial neural networks in environmental sciences and chemical engineering. 2011.
Conference paper
  1. Oliveira, R.; Peres, J.; Feyo de Azevedo, S.. "Hybrid modelling of fermentation processes using artificial neural networks: A study on identification and stability". 2004.
  2. Peres, J.; Oliveira, R.; Feyo de Azevedo, S.. "Hybrid modelling of fermentation processes: A study on the use of modular neural networks for modelling cells reaction kinetics". 2004.
Conference poster
  1. Vieira, T.F.; Sousa, Sérgio F.; Peres, J.; Coelho, M.. "PEGylation of Temozolomide (TMZ): A Molecular Dynamics study". Paper presented in WATOC 2017 (Munich, Germany), 2017.
Journal article
  1. Pedro A. S. Sousa; Joana Neto; Joana V. Barbosa; Joana Peres; Ana Magro; Graça Barros; José M. Sousa; et al. "Novel Approach for a Controlled Delivery of Essential Oils during Long-Term Maize Storage: Clove Bud and Pennyroyal Oils Efficacy to Control Sitophilus zeamais, Reducing Grain Damage and Post-Harvest Losses". Insects (2023): https://doi.org/10.3390/insects14040366.
    10.3390/insects14040366
  2. Rui Churro; Fernando Mendes; Paulo Araújo; Filipa Ribeiro; Joana Peres; Luís M. Madeira. "Statistical modelling of the amination reaction of cyclohexanol to produce cyclohexylamine over a commercial Ni-based catalyst". Chemical Engineering Research and Design (2021): https://doi.org/10.1016/j.cherd.2021.03.029.
    10.1016/j.cherd.2021.03.029
  3. Andreia S. Azevedo; Gislaine P. Gerola; João Baptista; Carina Almeida; Joana Peres; Filipe J. Mergulhão; Nuno F. Azevedo. "Increased Intraspecies Diversity in Escherichia coli Biofilms Promotes Cellular Growth at the Expense of Matrix Production". Antibiotics 9 11 (2020): 818-818. https://doi.org/10.3390/antibiotics9110818.
    10.3390/antibiotics9110818
  4. Sousa, Sérgio F.; Peres, Joana; Coelho, Manuel; Vieira, Tatiana F.. "Analyzing PEGylation through Molecular Dynamics Simulations". ChemistrySelect 3 29 (2018): 8415-8427. http://dx.doi.org/10.1002/slct.201800855.
    Published • 10.1002/slct.201800855
  5. De Azevedo, C.R.; Peres, J.; Von Stosch, M.. "An efficient method for the numerical integration of measured variable dependent ordinary differential equations". Engineering Applications of Artificial Intelligence 38 (2015): 24-33. http://www.scopus.com/inward/record.url?eid=2-s2.0-84916620113&partnerID=MN8TOARS.
    10.1016/j.engappai.2014.10.014
  6. von Stosch, M.; Oliveira, R.; Peres, J.; Feyo de Azevedo, S.. "Hybrid semi-parametric modeling in process systems engineering: Past, present and future". Computers and Chemical Engineering 60 (2013): 86-101. http://www.scopus.com/inward/record.url?eid=2-s2.0-84884346400&partnerID=MN8TOARS.
    10.1016/j.compchemeng.2013.08.008
  7. Von Stosch, M.; Oliveria, R.; Peres, J.; De Azevedo, S.F.. "Hybrid modeling framework for process analytical technology: Application to Bordetella pertussis cultures". Biotechnology Progress 28 1 (2012): 284-291. http://www.scopus.com/inward/record.url?eid=2-s2.0-84856575287&partnerID=MN8TOARS.
    10.1002/btpr.706
  8. Barreiros, L.; Peres, J.; Azevedo, N.F.; Manaia, C.M.; Nunes, O.C.. "Environmental factors influencing molinate biodegradation by a two-member mixed culture in rice paddy field floodwater". International Biodeterioration and Biodegradation 72 (2012): 52-58. http://www.scopus.com/inward/record.url?eid=2-s2.0-84861973594&partnerID=MN8TOARS.
    10.1016/j.ibiod.2012.05.003
  9. Von Stosch, M.; Oliveira, R.; Peres, J.; Feyo De Azevedo, S.. "A general hybrid semi-parametric process control framework". Journal of Process Control 22 7 (2012): 1171-1181. http://www.scopus.com/inward/record.url?eid=2-s2.0-84864311580&partnerID=MN8TOARS.
    10.1016/j.jprocont.2012.05.004
  10. Von Stosch, M.; Oliveira, R.; Peres, J.; Feyo De Azevedo, S.. "A novel identification method for hybrid (N)PLS dynamical systems with application to bioprocesses". Expert Systems with Applications 38 9 (2011): 10862-10874. http://www.scopus.com/inward/record.url?eid=2-s2.0-79955579227&partnerID=MN8TOARS.
    10.1016/j.eswa.2011.02.117
  11. von Stosch, M.; Peres, J.; de Azevedo, S.F.; Oliveira, R.. "Modelling biochemical networks with intrinsic time delays: A hybrid semi-parametric approach". BMC Systems Biology 4 (2010): http://www.scopus.com/inward/record.url?eid=2-s2.0-77956872192&partnerID=MN8TOARS.
    10.1186/1752-0509-4-131
  12. Peres, J.; Oliveira, R.; de Azevedo, S.F.. "Bioprocess hybrid parametric/nonparametric modelling based on the concept of mixture of experts". Biochemical Engineering Journal 39 1 (2008): 190-206. http://www.scopus.com/inward/record.url?eid=2-s2.0-43049156236&partnerID=MN8TOARS.
    10.1016/j.bej.2007.09.003
  13. Peres, J.; Freitas, F.; Reis, M.; Feyo de Azevedo, S.; Oliveira, R.. "Hybrid modular mechanistic/ANN modelling of a wastewater phosphorus removal process". Computer Aided Chemical Engineering 21 C (2006): 1717-1722. http://www.scopus.com/inward/record.url?eid=2-s2.0-77956759117&partnerID=MN8TOARS.
    10.1016/S1570-7946(06)80295-6
  14. Peres, J.; Oliveira, R.; Serafim, L.S.; Lemos, P.; Reis, M.A.; Feyo de Azevedo, S.. "Hybrid Modelling of a PHA Production Process Using Modular Neural Networks". Computer Aided Chemical Engineering 18 C (2004): 733-738. http://www.scopus.com/inward/record.url?eid=2-s2.0-77955639355&partnerID=MN8TOARS.
    10.1016/S1570-7946(04)80188-3
  15. Peres, J.; Oliveira, R.; Feyo de Azevedo, S.. "Modelling cells reaction kinetics with artificial neural networks: A comparison of three network architectures". Computer Aided Chemical Engineering 14 C (2003): 839-844. http://www.scopus.com/inward/record.url?eid=2-s2.0-77956737455&partnerID=MN8TOARS.
    10.1016/S1570-7946(03)80221-3
  16. Peres, J.; Oliveira, R.; Feyo De Azevedo, S.. "Knowledge based modular networks for process modelling and control". Computers and Chemical Engineering 25 4-6 (2001): 783-791. http://www.scopus.com/inward/record.url?eid=2-s2.0-0035340794&partnerID=MN8TOARS.
    10.1016/S0098-1354(01)00665-2
  17. Peres, J.; Oliveira, R.; Feyo de Azevedo, S.. "Knowledge based modular networks for process modelling and control". Computer Aided Chemical Engineering 8 C (2000): 247-252. http://www.scopus.com/inward/record.url?eid=2-s2.0-77956807481&partnerID=MN8TOARS.
    10.1016/S1570-7946(00)80043-7