Algoritmi | User | Miguel Ângelo Peixoto da Costa
Miguel Ângelo Peixoto da Costa
Miguel Ângelo Peixoto da Costa
At LASI
Other with MSc
Member of the CALG R&D Unit
Academic Degree
MSc
Current Position
Other at Escola de Engenharia da Universidade do Minho
Personal Webpage
Personal Email
miguel.costa@dei.uminho.ptOrcid
0000-0003-2046-4569Researcher ID
FCT Public Key
J8127805LhJX
Ciência ID
Google Scholar
About Me 
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. His research interests focus on artificial intelligence, artificial intelligence security on embedded systems, and reconfigurable hardware. Before becoming a Ph.D. student, he worked as an R&D engineer in an AI-based automotive HMI and 8k UHD video solutions. His Ph.D. program focuses on the security of AI in micro-controllers.
Publications (10)
Decentor: The Rise of Intelligent Edge Devices
Communications in Computer and Information Science
2025 | conference-paper
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge
Proceedings - 9th IEEE European Symposium on Security and Privacy, Euro S and P 2024
2024 | conference-paper
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge
arXiv
2024 | other
SecureQNN: Introducing a Privacy-Preserving Framework for QNNs at the Deep Edge
Communications in Computer and Information Science
2023 | conference-paper
Shifting Capsule Networks from the Cloud to the Deep Edge
ACM Transactions on Intelligent Systems and Technology
2022 | journal-article
Train Me If You Can: Decentralized Learning on the Deep Edge
Applied Sciences (Switzerland)
2022 | journal-article
SHIFTING CAPSULE NETWORKS FROM THE CLOUD TO THE DEEP EDGE
arXiv
2021 | other
Wall Screen: An Ultra-High Definition Video-Card for the Internet of Things
IEEE MultiMedia
2020 | journal-article
The future of low-end motes in the internet of things: A prospective paper
Electronics (Switzerland)
2020 | journal-article
Detecting Driver’s Fatigue, Distraction and Activity Using a Non-Intrusive Ai-Based Monitoring System
Journal of Artificial Intelligence and Soft Computing Research
2019 | journal-article
Decentor: The Rise of Intelligent Edge Devices
Communications in Computer and Information Science
2025 | conference-paper
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge
Proceedings - 9th IEEE European Symposium on Security and Privacy, Euro S and P 2024
2024 | conference-paper
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge
arXiv
2024 | other
SecureQNN: Introducing a Privacy-Preserving Framework for QNNs at the Deep Edge
Communications in Computer and Information Science
2023 | conference-paper
Shifting Capsule Networks from the Cloud to the Deep Edge
ACM Transactions on Intelligent Systems and Technology
2022 | journal-article
Train Me If You Can: Decentralized Learning on the Deep Edge
Applied Sciences (Switzerland)
2022 | journal-article
SHIFTING CAPSULE NETWORKS FROM THE CLOUD TO THE DEEP EDGE
arXiv
2021 | other
Wall Screen: An Ultra-High Definition Video-Card for the Internet of Things
IEEE MultiMedia
2020 | journal-article
The future of low-end motes in the internet of things: A prospective paper
Electronics (Switzerland)
2020 | journal-article
Detecting Driver’s Fatigue, Distraction and Activity Using a Non-Intrusive Ai-Based Monitoring System
Journal of Artificial Intelligence and Soft Computing Research
2019 | journal-article
