Wendy Lomas

Wendy Lomas is a researcher and lecturer at the Faculty of Science and Engineering, University of Wolverhampton, specializing in artificial intelligence and computational bioacoustics. She holds an MSc in Artificial Intelligence from the University of Wolverhampton and a BA (Hons) in Social and Political Science from the University of Cambridge.

• Education
  • MSc in Artificial Intelligence (2023-2024), University of Wolverhampton
  • BA (Hons) in Social and Political Science (1989-1993), University of Cambridge

Her research focuses on developing lightweight associative memory AI algorithms for bioacoustic monitoring of ecosystems, targeting wildlife conservation and carbon cycle monitoring. Projects include sustainable AI models for identifying endangered primate vocalizations in Peruvian rainforests and captive settings, lemur welfare initiatives, and collaborations on beetle outbreak detection in forestry. All work emphasizes energy efficiency and AI equity, enabling models to run on standard field devices to reduce dependence on high-performance computing.

Her recent publications highlight applications of Hopfield networks in bioacoustic classification, with a focus on bat echolocation and primate vocalizations. These works align with her broader goals of democratizing AI tools for global conservation efforts.

• Scientific Awards
  • Invest to Grow PhD Studentship (University of Wolverhampton)
  • OpenBright Awards (2024, 2025)

Wendy supervises MRes Artificial Intelligence students and lectures on MRes Cybersecurity and Artificial Intelligence courses. She is involved in STEM outreach and educational development, including the SEDA certification for technology-enhanced learning. Her grants from the OpenBright Foundation support projects on environmentally sustainable AI and bat recognition.