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Pedro João Soares Rodrigues. Completed the Doutoramento in Electrónica Industrial in 2008 by Universidade do Minho Escola de Engenharia and Mestrado in Engenharia Electrónica e Telecomunicações in 2000 by Universidade de Aveiro. Is Assistant Teacher in Instituto Politécnico de Bragança. Published 1 articles in journals. Has 4 book(s). Has received 3 awards and/or honors. In their professional activities interacted with 39 collaborator(s) co-authorship of scientific papers.
Identification

Personal identification

Full name
Pedro João Soares Rodrigues

Citation names

  • Pedro João Rodrigues

Author identifiers

Ciência ID
1316-21BB-9015
ORCID iD
0000-0002-0555-2029

Languages

Language Speaking Reading Writing Listening Peer-review
English Intermediate (B1) Advanced (C1) Intermediate (B1) Intermediate (B1)
Education
Degree Classification
2008
Concluded
Industrial Electronics (Doutoramento)
Universidade do Minho Escola de Engenharia, Portugal
"Técnicas de Segmentação e de Classificação em Imagens. Estudo de um Caso de Aplicação" (THESIS/DISSERTATION)
Aprovado
2000
Concluded
Electronic Engineering and Telecommunications (Mestrado)
Universidade de Aveiro, Portugal
"Redes neuronais aplicadas à segmentação e classificação de leucócitos em imagens" (THESIS/DISSERTATION)
Aprovado
Affiliation

Teaching in Higher Education

Category
Host institution
Employer
2010/04/13 - Current Adjunct Teacher (Polytechnic Teacher) Instituto Politécnico de Bragança, Portugal
1999/10/15 - 2010/04/12 Assistant (Polytechnic Teacher) Instituto Politécnico de Bragança, Portugal
1996/10/01 - 1998/07/31 Assistant (University Teacher) Universidade Lusíada de Lisboa, Portugal
Projects

Grant

Designation Funders
2021/01/02 - Current PandIA - Management of Pandemic Social Isolation Based on City and Social Intelligence
DSAIPA/AI/0088/2020
Researcher
Instituto Politécnico de Bragança Centro de Investigação em Digitalização e Robótica Inteligente, Portugal
2018 - Current BEEHAPPY - Bee (Apis mellifera L.) Health in the Azores: comparing ePidemiological Patterns in a unique natural laboratory
02/SAICT/2017
Researcher
Centro de Investigação de Montanha, Portugal
2018 - Current On-Surf (Mobilize technological skills in Surface Engineering)
NUP POCI-01-0247-FEDER-024521
Researcher
Ongoing
2017 - Current BEEHEAL - Promoting the Bee Health for Sustainable Agriculture
ARIMNet2 (ERA-NET) 618127
Researcher
Centro de Investigação de Montanha, Portugal
2019/08/01 - 2022/07/31 AUTENT+ - Desenvolvimento de abordagens inovadoras com vista à valorização e exploração do potencial de mercado do mel Português
National Program of Apiculture 2020-2022, NIFAP 9347573
Other
Concluded
2015 - 2018 BEEHOPE - Honeybee conservation centres in Western Europe - an innovative strategy using sustainable beekeeping to reduce honeybee decline
2013-2014 BiodivERsA/FACCE-JP
Researcher
Centro de Investigação de Montanha, Portugal

Contract

Designation Funders
2018/06/01 - 2021/05/31 Bee (Apis mellifera L.) Health in the Azores: comparing ePidemiological Patterns in a unique natural laboratorY
PTDC/CVT-CVT/29871/2017
Instituto Politécnico de Bragança, Portugal

Rede de Química e Tecnologia Laboratório Associado para a Química Verde, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2017/03/28 - 2020/09/27 BEEHEAL-Promoting bee health for sustainable agriculture
ARIMNET2/0002/2016
Instituto Politécnico de Bragança, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Book
  1. Rodrigues, R.O.; Gomes, H.T.; Lima, R.; Silva, A.M.T.; Rodrigues, P.J.S.; Tavares, P.B.; Tavares, J.M.R.S.. Thermal infrared image processing to assess heat generated by magnetic nanoparticles for hyperthermia applications. 2015.
    10.1007/978-3-319-27857-5_3
  2. Pereira, N.; Mujika, M.; Arana, S.; Correia, T.; Silva, A.M.; Gomes, H.T.; Rodrigues, P.J.; Lima, R.. The effect of a static magnetic field on the flow of iron oxide magnetic nanoparticles through glass capillaries. 2014.
    10.1007/978-94-007-7769-9_11
  3. Igrejas, G.; Amaral, J.S.; Rodrigues, P.J.S.. Fall detection systems to be used by elderly people. 2013.
    10.4018/978-1-4666-3986-7.ch024
  4. Rodrigues, P.; Ferreira, M.; Monteiro, J.. Segmentation and classification of leukocytes using neural networks: A generalization direction. 2008.
    10.1007/978-3-540-75398-8_17
Book chapter
  1. Youssef Bel Haj Yahia; Júlio Castro Lopes; Eduardo Bezerra; Pedro João Rodrigues; Rui Pedro Lopes. "Assessing the 3D Position of a Car with a Single 2D Camera Using Siamese Networks". 2024.
    10.1007/978-3-031-53036-4_7
  2. Júlio Castro Lopes; Pedro João Soares Rodrigues. "Techniques to Reject Atypical Patterns". 2022.
    10.1007/978-3-031-23236-7_1
  3. Pedro João Rodrigues; Getúlio Peixoto Igrejas; Romeu Ferreira Beato. "Obtaining Deep Learning Models for Automatic Classification of Leukocytes". 1-32. {IGI, 2020.
    10.4018/978-1-7998-3095-5.ch001
  4. Rodrigues, P.J.; Igrejas, G.P.; Beato, R.F.. "Obtaining deep learning models for automatic classification of leukocytes". 1-32. 2020.
Conference abstract
  1. Rodrigues, Pedro; Alves, Thiago; Pinto, M, A. "Assessment of honey bee cells using deep learning". Paper presented in EURBEE 2018, Ghent, 2018.
    Published
Conference paper
  1. Rodrigues, P.; Vieira, S.. "Optimizing Agent Training with Deep Q-Learning on a Self-Driving Reinforcement Learning Environment". 2020.
    10.1109/SSCI47803.2020.9308525
  2. Rodrigues, N.; Lima, J.; Rodrigues, P.J.; Carvalho, J.A.; Laranjeira, J.; Maidana, W.; Leitao, P.. "Modular Data Acquisition Architecture for Thin-Film Sensors Surfaces". 2020.
    10.1109/ISIE45063.2020.9152518
  3. Variz, L.; Piardi, L.; Rodrigues, P.J.; Leitao, P.. "Machine learning applied to an intelligent and adaptive robotic inspection station". 2019.
    10.1109/INDIN41052.2019.8972298
  4. Rodrigues, V.; Rodrigues, P.J.; Pereira, A.I.; Lima, R.. "Automatic tracking of red blood cells in micro channels using OpenCV". 2013.
    10.1063/1.4825561
  5. Balsa, C.; Alves, L.; Pereira, M.J.; Rodrigues, P.J.; Lopes, R.P.. "Graphical simulation of numerical algorithms: An aproach based on code instrumentation and Java technologies". 2012.
  6. Igrejas, G.; Amaral, J.S.; Rodrigues, P.J.. "Fall detection system for elderly people: A Neural Network approach". 2012.
  7. Yaginuma, T.; Pereira, A.I.; Rodrigues, P.J.; Lima, R.; Oliveira, M.S.N.; Ishikawa, T.; Yamaguchi, T.. "Flow of red blood cells through a microfluidic extensional device: An image analysis assessment". 2012.
  8. Ramalho, H.M.M.; Casal, S.; Mendes, E.; Igrejas, G.; Rodrigues, P.J.; Beatriz, M.; Oliveira, P.P.. "A classification fuzzy model for Minhota and Holstein Friesian cows milk based on functional fatty acids". 2010.
  9. Igrejas, G.; Amarai, I.S.; Rodrigues, P.J.; Beatriz, M.; Oliveira, P.P.. "A T-S fuzzy model based on initial FCM partition to estimate the composition of commercial blended vegetable oils". 2010.
  10. Rodrigues, P.J.; Amarai, J.S.; Santos, A.; Igrejas, G.. "A segmentation approach for the identification of hazelnut cultivars". 2010.
Journal article
  1. Rafael M. Sprea; Luís H. M. Fernandes; Tânia C. S. P. Pires; Ricardo C. Calhelha; Pedro João Rodrigues; Joana S. Amaral. "Volatile Compounds and Biological Activity of the Essential Oil of Aloysia citrodora Paláu: Comparison of Hydrodistillation and Microwave-Assisted Hydrodistillation". Molecules (2023): https://doi.org/10.3390/molecules28114528.
    10.3390/molecules28114528
  2. Andrzej Oleksa; Eliza Cauia; Adrian Siceanu; Zlatko Puškadija; Marin Kovacic; M Alice Pinto; Pedro João Rodrigues; et al. "Honey bee (Apis mellifera) wing images: a tool for identification and conservation". GigaScience (2023): https://doi.org/10.1093/gigascience/giad019.
    10.1093/gigascience/giad019
  3. Carlos Ariel Yadró García; Pedro João Rodrigues; Adam Tofilski; Dylan Elen; Grace P. McCormak; Andrzej Oleksa; Dora Henriques; et al. "Using the Software DeepWings© to Classify Honey Bees across Europe through Wing Geometric Morphometrics". Insects (2022): https://doi.org/10.3390/insects13121132.
    10.3390/insects13121132
  4. Pedro João Rodrigues; Walter Gomes; Maria Alice Pinto. "DeepWings©: Automatic Wing Geometric Morphometrics Classification of Honey Bee (Apis mellifera) Subspecies Using Deep Learning for Detecting Landmarks". Big Data and Cognitive Computing 6 3 (2022): 70-70. https://doi.org/10.3390/bdcc6030070.
    10.3390/bdcc6030070
  5. Alves, T.S.; Pinto, M.A.; Ventura, P.; Neves, C.J.; Biron, D.G.; Junior, A.C.; De Paula Filho, P.L.; Rodrigues, P.J.. "Automatic detection and classification of honey bee comb cells using deep learning". Computers and Electronics in Agriculture 170 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85078769027&partnerID=MN8TOARS.
    10.1016/j.compag.2020.105244
  6. Grazina, L.; Rodrigues, P.J.; Igrejas, G.; Nunes, M.A.; Mafra, I.; Arlorio, M.; Oliveira, M.B.P.P.; Amaral, J.S.. "Machine learning approaches applied to GC-FID fatty acid profiles to discriminate wild from farmed salmon". Foods 9 11 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85097486350&partnerID=MN8TOARS.
    10.3390/foods9111622
  7. Falcão, S.; Bacém, I.; Igrejas, G.; Rodrigues, P.J.; Vilas-Boas, M.; Amaral, J.S.. "Chemical composition and antimicrobial activity of hydrodistilled oil from juniper berries". Industrial Crops and Products 124 (2018): 878-884. http://www.scopus.com/inward/record.url?eid=2-s2.0-85052661499&partnerID=MN8TOARS.
    10.1016/j.indcrop.2018.08.069
  8. Rodrigues, A.S.; Rodrigues, P.J.. "Cross-paradigms or the interfaces of word-formation patterns: Evidence from Portuguese". Lingue e Linguaggio 17 2 (2018): 273-288. http://www.scopus.com/inward/record.url?eid=2-s2.0-85106970754&partnerID=MN8TOARS.
    10.1418/91869
Magazine article
  1. Joana S. Amaral; Andreia Quaresma; Pedro João Rodrigues; Rufino, José; Henriques, Dora Sofia Martins; Calaim L.; Gaspar A.. "AUTENT+: desenvolvimento de abordagens inovadoras com vista à valorização e exploração do potencial de mercado do mel Português", Mundo Rural, 2020
  2. Pinto, M. Alice; Henriques, Dora Sofia Martins; Pedro João Rodrigues; Joachim de Miranda; Raquel Martín-Hernandez; Isabel Mafra; Joana S. Amaral. "Projeto BEEHAPPY: Sanidade da abelha melífera (Apis mellifera L.) dos Açores: comparação dos padrões epidemiológicos num laboratório natural único", O apicultor, 2019, http://esa.ipb.pt/pdf/apinto3_20.pdf.
Activities

Supervision

Thesis Title
Role
Degree Subject (Type)
Institution / Organization
2020/04/28 - 2022/12/11 Deteção de defeitos em asfalto utilizando deep learning
Supervisor
2019/09/29 - 2020/07/16 Reconhecimento Facial com Super-Resolução: uma abordagem utilizando Redes Generativas e Joint-Learn
Supervisor
2019/03/04 - 2020/04/06 Development of sensory data concentrator for network broadcasting
Supervisor
Instituto Politécnico de Bragança Centro de Investigação em Digitalização e Robótica Inteligente, Portugal
2018/10/01 - 2019/07/15 Machine Learning Applied to an Intelligent and Adaptive Robotic Inspection Station
Co-supervisor
Industrial Engineering (Master)
Instituto Politécnico de Bragança, Portugal
2018/10/01 - 2019/07/10 Adaptive Background Mixture Models and Convolutional Neural Networks for Traffic Vacancies Detection
Supervisor
Infoemation Systems (Master)
Instituto Politécnico de Bragança, Portugal
2018/10/01 - 2019/07/04 Detection of Fake Faces using Convolutional Neural Networks and Infrared Light
Supervisor
Information Systems (Master)
Instituto Politécnico de Bragança, Portugal
2018/03/01 - 2019/04/22 Wing Morphometrics for Identify Species Bees Based on Semantic Segmentation
Supervisor
Information Systems (Master)
Instituto Politécnico de Bragança, Portugal
2017/10/01 - 2018/12/04 Obtaining Deep Learning Models for Automatic Classification of Leukocytes
Supervisor
Biomedical Technology (Master)
Instituto Politécnico de Bragança, Portugal
2017/10/01 - 2018/11/28 Automatic Detection and Classification of Honey Bee Cells Using Deep Learning
Supervisor
Information Systems (Master)
Instituto Politécnico de Bragança, Portugal

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2010 - Current Biometric Systems - Introduction to the biometric systems. Biometric matching. Biometric data. Multimodal systems. Performance testing. The statistical basis of the biometric systems. Data classifiers. Vulnerabilities of the biometric systems. Design of a biometric system. Boosting. Deep Learning. Biomedical Technology (Mestrado) Instituto Politécnico de Bragança, Portugal
2006 - Current Artificial intelligence (AI) - Uncertain knowledge. Decision trees. Neural networks. Support Vector Machine. Boosting algorithms. Deep Learning. Practical implementation of multiple cases. Information Systems (Mestrado) Instituto Politécnico de Bragança, Portugal
Distinctions

Award

2012 First Prize - EDP Innovation Prize 2012 (50000Euros)
EDP, Portugal
2010 Parallax Contest - Honor Award
2008 First Prize - Live Edge 2008 ($50000)
Premier Farnell plc, United Kingdom