Dr. Pedro Machado received his MSc in Electrical and Computers Engineering from the University of Coimbra (2012) and his Ph.D. in Computer Science from Nottingham Trent University (2022). Dr Machado is a Senior Lecturer in Computer Science, Course Leader for MSc Artificial Intelligence.
A Senior Lecturer in Computer Science, Dr. Machado combines expertise in neuromorphic engineering, edge computer vision, and bio-inspired computing to pioneer AI-driven solutions for aquatic ecosystems. He leads the EnviroBrain Impact Case Study, is the MSc in Artificial Intelligence Course Leader, and IEEE CertifAIEd lead assessor, AdvanceHE fellow, and the 1st secretary for the IEEE Systematic Innovation Special Interest Group (SISIG).
At the heart of his research is machine perception, developing vision-language models (VLMs) and audio-language models (ALMs) to decode underwater animal behaviour with unprecedented precision. By integrating large language models (LLMs) with neuromorphic sensors and spiking neural networks, his systems can:
- Interpret complex behaviours (e.g., stress, predation, mating) in aquaculture, conservation and wild life,
- Fuse multi-modal data (visual, acoustic, environmental) to predict disease outbreaks or invasive species spread,
- Model biological nervous systems to enhance robotic underwater monitoring.
Dr Machado‘s work extends to robotics and autonomous systems, where neuromorphic hardware enables real-time analysis in harsh marine environments. The goal: transform how we safeguard endangered species, optimise sustainable aquaculture, and preserve global aquatic biodiversity, before critical thresholds are crossed.
ORCID: http://bit.ly/PedroM_orcid
ResearchGate: http://bit.ly/PedroM_rg
Google Scholar: http://bit.ly/PedroM_gs
LinkedIn: https://bit.ly/LinkedIn_Pedro
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