Michael Adam Lones

Michael Adam Lones is a Professor in the Department of Computer Science at Heriot-Watt University's School of Mathematical & Computer Sciences and a member of the Edinburgh Centre for Robotics. With over 25 years of AI expertise spanning machine learning, optimization, and bio-inspired computing, his research focuses on AI dependability, robustness, and medical applications including Parkinson's disease management tools.

Education:

• MEng, University of York (1999)
• PhD, University of York (2003)

His research program centers on designing reliable AI systems through understanding limitations and improving practices, with significant clinical translation work in neurology. He actively disseminates knowledge via academic talks and his Substack publication Fetch Decode Execute, emphasizing practical AI implementation frameworks.

Recent publications (2023-2025) demonstrate concentrated efforts in cybersecurity robustness, IoT threat detection, and educational AI applications, with recurring themes of model generalization challenges and adversarial resilience across domains.

Scientific Awards:

• Best Paper Award (2025)
• Humies Gold Award (2018)

Professor Lones supervises PhD students and contributes to UN Sustainable Development Goals through health-focused AI research. His extensive publication record (70+ outputs) and dataset development indicate substantial ongoing research activity despite specific grant details not being publicly enumerated.

He maintains active collaboration through the Edinburgh Centre for Robotics and has co-developed significant datasets including Parkinson's disease clinical tools and Android malware detection resources, reflecting his interdisciplinary approach to real-world AI challenges.