Algoritmi | User | Miguel Ângelo Peixoto da Costa
Miguel Ângelo Peixoto da Costa
Miguel Ângelo Peixoto da Costa
At Algoritmi
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
Ciência ID
0A1C-EEBF-CF74Google Scholar
h-index
5Publications
8Editorial
0Citations
76Q1 / Q2
6About 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
History
| Init | End | Change | Value |
|---|
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
| Start | End | Term | Value | |
|---|---|---|---|---|
