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Diogo Costa is an R&D researcher at the ALGORITMI center at the University of Minho. He holds a master's degree in Industrial Electronic and Computer Engineering obtained at the University of Minho (Portugal). He has published 3 articles in specialized journals. Since finishing his Master's degree, Diogo has been working on an R&D project at the University of Minho, focusing on shifting machine learning applications to the deep edge. His main research interests include machine learning, computer vision systems, real-time systems, and embedded system security.
Identification

Personal identification

Full name
Diogo Costa

Citation names

  • Costa, Diogo

Author identifiers

Ciência ID
0714-FDB2-FA8B
ORCID iD
0000-0002-0725-5861

Telephones

Mobile phone
  • 961850702 (Personal)

Addresses

  • Rua Padre José Martins Carneiro, 54, 2ºDto, 4900-766, Viana do Castelo, Viana do Castelo, Portugal (Personal)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Electrical and Electronic Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Proficiency (C2) Proficiency (C2) Proficiency (C2) Advanced (C1)
Spanish; Castilian Upper intermediate (B2) Upper intermediate (B2) Intermediate (B1) Advanced (C1) Upper intermediate (B2)
Education
Degree Classification
2016/09/15 - 2022/03/15
Concluded
Engenharia Eletrónica Industrial e Computadores (Mestrado integrado)
Major in Sistemas Embebidos
Universidade do Minho, Portugal
"A Federated Learning Framework for the Next-Generation Machine Learning Systems" (THESIS/DISSERTATION)
16
Projects

Grant

Designation Funders
2022/02/15 - 2022/05/15 Bolsa de Investigação no âmbito do Financiamento Plurianual das Unidades de I&D (2020-2023)
Master Student Fellow
Universidade do Minho Centro ALGORITMI, Portugal
Ongoing
2021/11/01 - 2022/01/31 Bolsa de Investigação no âmbito do Financiamento Plurianual das Unidades de I&D (2020-2023)
Master Student Fellow
Universidade do Minho Centro ALGORITMI, Portugal
Concluded
Outputs

Publications

Book chapter
  1. Ribeiro, Marcelo; Costa, Diogo; Moreira, Gonçalo; Pinto, Sandro; Gomes, Tiago. "Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices". In Communications in Computer and Information Science, 256-269. Springer Nature Singapore, 2025.
    10.1007/978-981-95-4409-7_18
Conference paper
  1. Diogo Costa; José Martins; Sandro Pinto. "Beyond the Bermuda Triangle of Contention: IOMMU Interference in Mixed Criticality Systems". 2025.
    Published • 10.1109/rtcsa66114.2025.00027
  2. Afonso Oliveira; Diogo Costa; Gonçalo Moreira; José Martins; Sandro Pinto. "H-MBR: Hypervisor-Level Memory Bandwidth Reservation for Mixed Criticality Systems". 2025.
    10.4230/OASICS.NG-RES.2025.4
  3. Diogo Costa; Gonçalo Moreira; Afonso Oliveira; José Martins; Sandro Pinto. "SP-IMPact: A Framework for Static Partitioning Interference Mitigation and Performance Analysis". 2025.
    10.4230/OASICS.NG-RES.2025.5
Journal article
  1. "Shifting Capsule Networks from the Cloud to the Deep Edge". ACM Transactions on Intelligent Systems and Technology (2022):
    Accepted
  2. "Shifting Capsule Networks from the Cloud to the Deep Edge". ACM Transactions on Intelligent Systems and Technology (2022): http://dx.doi.org/10.1145/3544562.
    10.1145/3544562
  3. "Train me if you can: decentralized learning on the deep edge". MDPI Applied Sciences (2022):
    Accepted
  4. Diogo Costa; Miguel Costa; Sandro Emanuel Salgado Pinto. "Train Me If You Can: Decentralized Learning on the Deep Edge". Applied Sciences (2022): https://www.mdpi.com/2076-3417/12/9/4653.
    10.3390/app12094653
  5. "Microphone Array for Speaker Localization and Identification in Shared Autonomous Vehicles". Electronics 11 5 (2022): 766-766. http://dx.doi.org/10.3390/electronics11050766.
    10.3390/electronics11050766
Thesis / Dissertation
  1. "A Federated Learning Framework for the Next-Generation Machine Learning Systems". Master, Universidade do Minho - Campus de Azurém, 2022.