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Daniel Queirós da Silva was born in Ermesinde, Porto, Portugal, in 1997. He obtained the M.Sc. degree in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto (FEUP) in 2020, and the Ph.D. degree in Electrical and Computer Engineering from the University of Trás-os-Montes e Alto Douro (UTAD) in 2024. He is currently a Researcher at INESC Technology and Science (INESC TEC) and an Invited Assistant Lecturer at the Instituto Superior de Engenharia do Porto (ISEP). His main research interests are perception systems, artificial intelligence, robotics and embedded systems.
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Identification

Personal identification

Full name
Daniel Queirós da Silva

Citation names

  • Daniel Silva
  • Daniel Q. Silva
  • D. Q. da Silva

Author identifiers

Ciência ID
1416-6657-001C
ORCID iD
0000-0001-9999-1550
AuthenticusID
R-00J-KQ8
Google Scholar ID
0tMgDhAAAAAJ
Researcher Id
AAA-3375-2021
Scopus Author Id
56196402300

Email addresses

  • daniel.q.silva@inesctec.pt (Professional)
  • daniqsilva1997@gmail.com (Personal)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Robotics and Automatic Control
  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Electrical and Electronic Engineering
  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Computer Hardware and Architecture

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
French Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2)
Education
Degree Classification
2020/09/01 - 2024/07/04
Concluded
 Engenharia Electrotécnica e de Computadores (Doutoramento)
Universidade de Trás-os-Montes e Alto Douro, Portugal
"Multimodal Perception for Robotics in Forestry Operations" (THESIS/DISSERTATION)
 Muito bom
2015/09 - 2020/07
Concluded
 Engenharia Electrotécnica e de Computadores (Mestrado integrado)
Major in Automation
Universidade do Porto Faculdade de Engenharia, Portugal
"Computer Vision System for Tactode Programming" (THESIS/DISSERTATION)
 16/20
Affiliation

Science

Category
Host institution 		Employer
2023/10/04 - Current Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2020/09/14 - 2023/10/03 Research Assistant (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2019/09 - 2020/02 Research Trainee (Research) Instituto de Telecomunicações, Portugal
Universidade do Porto Faculdade de Engenharia, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2022/03 - Current Invited Assistant (Polytechnic Teacher) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
Projects

Grant

Designation Funders
2022/01 - 2023/10/03 ForestMP: Multimodal Perception system for robotics in forestry applications
UI/BD/152564/2022
PhD Student Fellow
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Fundação para a Ciência e Tecnologia
Concluded
2021/07/01 - 2023/06/30 SMARTDRYING - Sistema Inteligente para Secagem de Lamas de ETAR em Estufa
POCI-01-0247-FEDER-047203
Researcher
Agência Nacional de Inovação SA
Concluded
2021/01/02 - 2023/06/30 SPIN - Solução de Pulverização de Precisão Inteligente
POCI-01-0247-FEDER-046997
Researcher
Agência Nacional de Inovação SA
Concluded
2020/12/01 - 2023/06/30 SMARTCUT - Diagnóstico e Manutenção Remota e Simuladores para Formação de operação e manutenção de Máquinas Florestais
POCI-01-0247-FEDER-048183
Researcher
Agência Nacional de Inovação SA
Concluded
2020/07/01 - 2023/06/30 rePLANT - Implantação de estratégias colaborativas para a gestão integrada da floresta e do fogo
POCI-01-0247-FEDER-046081
Researcher
Agência Nacional de Inovação SA
Concluded
2020/05/01 - 2022/02/10 PRySM - PRecision Sprayer Ground Robot
780265
Researcher
Concluded

Contract

Designation Funders
2022/10/01 - 2025/12/31 AgendaTransform - Agenda para a transformação digital do setor florestal para uma economia resiliente e hipocarbónica
PPR 34
Researcher
Agência para a Competitividade e Inovação IP
Ongoing
2022/10/11 - 2025/10/10 Vine and Wine Portugal - Driving Sustainable Growth Through Smart Innovation
PPR 67
Researcher
Agência para a Competitividade e Inovação IP
Ongoing
2024/06/01 - 2024/11/30 RLSENSEDEMO
INESCP-SERV-36/24
Researcher
The Navigator Company
Ongoing
Outputs

Publications

Book chapter
  1. da Silva, DQ; Louro, F; dos Santos, FN; Filipe, V; Sousa, AJ; Cunha, M; Carvalho, JL. "Assessing Soil Ripping Depth for Precision Forestry with a Cost-Effective Contactless Sensing System". 2024.
    10.1007/978-3-031-59167-9_25
  2. Daniel Queirós da Silva; Tiago Ferreira Rodrigues; Armando Jorge Sousa; Filipe Neves dos Santos; Vítor Filipe. "Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations". 2023.
    10.1007/978-3-031-49011-8_30
  3. da Silva, DQ; dos Santos, FN; Filipe, V; Sousa, AJ. "Tree Trunks Cross-Platform Detection Using Deep Learning Strategies for Forestry Operations". 2022.
    10.1007/978-3-031-21065-5_4
Journal article
  1. Francisco Oliveira; Daniel Queirós da Silva; Vitor Filipe; Tatiana Martins Pinho; Mario Cunha; José Boaventura-Cunha; Filipe Neves dos Santos. "Enhancing Grapevine Node Detection to Support Pruning Automation: Leveraging State-of-the-Art YOLO Detection Models for 2D Image Analysis". Sensors (2024): https://www.mdpi.com/1424-8220/24/21/6774.
    10.3390/s24216774
  2. Daniel Queirós Da Silva; Filipe Neves Dos Santos; Vítor Filipe; Armando Jorge Sousa; E. J. Solteiro Pires. "YOLO-based tree trunk types multispectral perception: A two-genus study at stand-level for forestry inventory management purposes". IEEE Access (2024): https://doi.org/10.1109/ACCESS.2024.3443528.
    10.1109/ACCESS.2024.3443528
  3. Isabel Pinheiro; Germano Moreira; Daniel Queirós da Silva; Sandro Magalhães; A. Valente; P. B. Moura Oliveira; Mario Cunha; Filipe Neves dos Santos. "Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions". Agronomy (2023): https://www.mdpi.com/2073-4395/13/4/1120.
    10.3390/agronomy13041120
  4. Leandro Rodrigues; Sandro Augusto Magalhães; Daniel Queirós da Silva; Filipe Neves dos Santos; Mário Cunha. "Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops". Agronomy (2023): https://doi.org/10.3390/agronomy13020463.
    10.3390/agronomy13020463
  5. Daniel Queirós da Silva; Filipe Neves dos Santos; Vitor Filipe; Armando Sousa; P. B. Moura Oliveira. "Edge AI-Based Tree Trunk Detection for Forestry Monitoring Robotics". Robotics (2022): https://www.mdpi.com/2218-6581/11/6/136.
    10.3390/robotics11060136
  6. Daniel Queirós da Silva; Filipe Neves dos Santos; Armando Sousa; Vitor Filipe; José Boaventura-Cunha. "Unimodal and Multimodal Perception for Forest Management: Review and Dataset". Computation (2021): https://www.mdpi.com/2079-3197/9/12/127.
    10.3390/computation9120127
  7. Daniel Queirós da Silva; Filipe Neves dos Santos; Armando Jorge Sousa; Vítor Filipe. "Visible and Thermal Image-Based Trunk Detection with Deep Learning for Forestry Mobile Robotics". Journal of Imaging 7 9 (2021): 176-176. https://doi.org/10.3390/jimaging7090176.
    10.3390/jimaging7090176
  8. Daniel Silva; Armando Sousa; Valter Costa. "A Comparative Analysis for 2D Object Recognition: A Case Study with Tactode Puzzle-Like Tiles". Journal of Imaging 7 4 (2021): 65-65. https://doi.org/10.3390/jimaging7040065.
    10.3390/jimaging7040065
  9. Daniel Queirós da Silva; André Aguiar; Filipe Neves dos Santos; Armando Sousa; DANILO RABINO; Marcella Biddoccu; Giorgia Bagagiolo; Marco Delmastro. "Measuring Canopy Geometric Structure Using Optical Sensors Mounted on Terrestrial Vehicles: A Case Study in Vineyards". Agriculture (2021): https://www.mdpi.com/2077-0472/11/3/208.
    10.3390/agriculture11030208
  10. André Silva Aguiar; Nuno Namora Monteiro; Filipe Neves dos Santos; Eduardo J. Solteiro Pires; Daniel Silva; Armando Jorge Sousa; José Boaventura-Cunha. "Bringing Semantics to the Vineyard: An Approach on Deep Learning-Based Vine Trunk Detection". Agriculture (2021): https://doi.org/10.3390/agriculture11020131.
    10.3390/agriculture11020131
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2022/10 - 2023/09 RGBD-Based Automatic Stem Selection for Selective Thinning Operations in Forest Context (https://hdl.handle.net/10216/153364)
Co-supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal