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
FCT Public Key
J8127805LhJX
Ciência ID
0A1C-EEBF-CF74Google Scholar
h-index
Publications
Editorial
0Citations
Q1 / Q2
0About 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. 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 main research interests include machine learning, reconfigurable computing (FPGA technology) and real-time systems.
Publications (6)
SecureQNN: Introducing a Privacy-Preserving Framework for QNNs at the Deep Edge
2023 | book-chapter
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
2022 | journal-article
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
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 |
---|
SecureQNN: Introducing a Privacy-Preserving Framework for QNNs at the Deep Edge
2023 | book-chapter
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
2022 | journal-article
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
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 | |
---|---|---|---|---|