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Miguel Costa is a Ph.D. student of Electronics and Computer Engineering at the University of Minho, Portugal. From this same institution, Miguel received an M.Sc. also in this academic topic, with a special focus on embedded systems and information systems and technologies. During his Master's, Miguel was invited to enroll in an R&D project, InnovCar, where he addressed the development of an AI-based driver monitoring system. After ending his Master's, Miguel joined the R&D project MOG WALLSCREEN, where he was responsible for developing a memory manager, in reconfigurable hardware, for a video card supporting 8k resolution, along with an API to control the board. His research interests include machine learning, reconfigurable computing (FPGA technology), and real-time systems. At the moment, his focus is on finishing his Ph.D., which addresses the development of a framework tailored for the deployment of lightweight and trustable Artificial Neural Networks in low-end IoT devices.
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Identification

Personal identification

Full name
Miguel Ângelo Peixoto da Costa
Date of birth
1994/11/29
Gender
Male

Citation names

  • Costa, Miguel

Author identifiers

Ciência ID
0A1C-EEBF-CF74

Email addresses

  • miguelcosta_mapc@live.com.pt (Professional)
  • miguel.costa@dei.uminho.pt (Professional)

Telephones

Mobile phone
  • 919615662 (Personal)

Addresses

  • Travessa do Alto da Lage, nº1269, 4815-538, São Miguel, Vizela, Portugal (Personal)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Education
Degree Classification
2019/10/01 - 2023/10/01
Ongoing
 Engenharia Eletrónica e de Computadores (Doutoramento)
Universidade do Minho, Portugal
2012 - 2018
Concluded
 Engenharia Eletrónica Industrial e Computadores (Mestrado integrado)
Major in Sistemas Embebidos e Computadores; Tecnologias e Sistemas de Informação
Universidade do Minho, Portugal
"A Driver Monitoring System towards the Automotive Cockpit of the Future" (THESIS/DISSERTATION)
 16
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2021/09/01 - 2022/02/28 Invited Assistant Professor (University Teacher) Universidade do Minho, Portugal
Universidade do Minho, Portugal

Others

Category
Host institution 		Employer
2018/10/10 - Current Research Fellow (UMINHO/BI/377/2018) Universidade do Minho, Portugal
2018/01/25 - 2018/07/31 Research Fellow (UMINHO/BI/21/2018) Universidade do Minho, Portugal
2017/02/15 - 2018/01/24 Research Fellow (UMINHO/BI/93/2017) Universidade do Minho, Portugal
Projects

Grant

Designation Funders
2018/10/10 - Current MOG WALLSCREEN: Wall Screen Generation – Hardware Accelerator
POCI-01-0247-FEDER-017891
Research Fellow
Universidade do Minho, Portugal
Ongoing
2018/01/25 - 2018/07/31 InnovCar - Inovação para Veículos Inteligentes
POCI-01-0247-FEDER-002797
Research Fellow
Universidade do Minho, Portugal
Concluded
2017/02/15 - 2018/01/24 SMIT - Smart Multifunctional Integrated Tool
POCI-01-0247- FEDER-017735
Research Fellow
Universidade do Minho, Portugal
Concluded
Outputs

Publications

Journal article
  1. Costa, Miguel; Costa, Diogo; Gomes, Tiago; Pinto, Sandro. "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
  2. Costa, Diogo; Costa, Miguel; Pinto, Sandro. "Train Me If You Can: Decentralized Learning on the Deep Edge". Applied Sciences 12 9 (2022): 4653. http://dx.doi.org/10.3390/app12094653.
    10.3390/app12094653
  3. Costa, Miguel; Moreira, Ricardo; Cabral, Jorge; Dias, Jose; Pinto, Sandro. "Wall Screen: An Ultra-High Definition Video-Card for the Internet of Things". IEEE MultiMedia 27 3 (2020): 76-87. http://dx.doi.org/10.1109/mmul.2020.3011595.
    10.1109/mmul.2020.3011595
  4. Oliveira, Daniel; Costa, Miguel; Pinto, Sandro; Gomes, Tiago. "The Future of Low-End Motes in the Internet of Things: A Prospective Paper". Electronics 9 1 (2020): 111. http://dx.doi.org/10.3390/electronics9010111.
    10.3390/electronics9010111
  5. Costa, Miguel; Oliveira, Daniel; Pinto, Sandro; Tavares, Adriano. "Detecting Driver's Fatigue, Distraction and Activity Using a Non-Intrusive Ai-Based Monitoring System". Journal of Artificial Intelligence and Soft Computing Research 9 4 (2019): 247-266. http://dx.doi.org/10.2478/jaiscr-2019-0007.
    10.2478/jaiscr-2019-0007
Activities

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2019/01 - 2019/02/15 REC 2019 - XV Jornadas sobre Sistemas Reconfiguráveis (2019/02/14 - 2019/02/15) (2019/02/14 - 2019/02/15)
Conference (Member of the Organising Committee)
 Universidade do Minho, Portugal
Distinctions

Other distinction

2017 Course Certificate - The Qt Company (Qt Training)