Scholar
Dr. Pedro Machado
Google Scholar ID: Xzt1rZoAAAAJ
Lecturer, Department of Computer Science, Nottingham Trent University
Citations & Impact
Citations
339
H-index
10
i10-index
10
Publications
20
Co-authors
0
Resume
Academic Achievements
- In-depth research in machine perception, particularly in vision-language models (VLMs) and audio-language models (ALMs) to decode underwater animal behavior. Involved in multiple PhD supervisions, including IoT devices for underwater communication, biodiversity monitoring, real-time stress and anxiety detection, and more.
Research Experience
- Currently a Senior Lecturer in Computer Science at Nottingham Trent University, leading the EnviroBrain Impact Case Study, MSc in Artificial Intelligence Course Leader, IEEE CertifAIEd lead assessor, AdvanceHE fellow, and the 1st secretary for the IEEE Systematic Innovation Special Interest Group (SISIG).
Education
- MSc in Electrical and Computer Engineering from the University of Coimbra (2012); Ph.D. in Computer Science from Nottingham Trent University (2022).
Background
- Research interests include neuromorphic engineering, edge computer vision, bio-inspired computing, robotics, and intelligent sensors. Focused on developing AI-driven solutions for decoding behavior in aquatic ecosystems.
Miscellany
- Committed to real-time analysis through neuromorphic hardware, optimizing sustainable aquaculture, protecting endangered species, and preserving global aquatic biodiversity.