James Atlas

Dr. James Atlas is a Senior Lecturer in the Department of Computer Science and Software Engineering at the University of Canterbury's Faculty of Engineering, where he has been employed since July 2018. His primary affiliations include full-time academic responsibilities at this institution.

His research spans:

• Core CS: Artificial intelligence, machine learning, constraint optimization
• Systems: Distributed and high-performance computing
• Applied domains: Medical data analysis (CT reconstruction, health prediction), earth/space exploration (flood mapping, environmental monitoring), and multi-agent systems
• Education: Curriculum development, threshold concept gamification

Recent publication analysis (2019-2025) reveals dominant themes in deep learning applications for medical imaging (spectral CT reconstruction, bioacoustic analysis) and environmental sensing (3D tree modeling, vineyard monitoring, flood prediction), with consistent interdisciplinary collaboration.

He actively supervises 10 graduate students researching:

• Machine learning for global flood exposure mapping
• CT reconstruction algorithms and artifact correction
• EMG-EEG hybrid prosthetics
• Hierarchical reinforcement learning
• Automated 3D digital tree modeling
• Bioacoustic monitoring systems