Ludmila Kuncheva

Ludmila Kuncheva is a Professor in Computer Science at Bangor University's School of Computer Science and Electronic Engineering. Her core research focuses on pattern recognition and machine learning, with specialized expertise in classifier ensembles, feature selection methodologies, and video analysis techniques. She leads significant research projects including the Leverhulme Trust-sponsored 'Prototype Selection from Streaming, Drifting and Partly Labelled Data'.

Research Focus:
Her primary research domains include machine learning frameworks for constrained clustering, video summarization methods, and animal re-identification systems. Recent work explores semi-supervised classification with applications in wildlife monitoring and sports analytics, demonstrating cross-disciplinary impact.

Publication Trends:
Her recent publications show strong emphasis on computer vision applications for ecological studies, particularly animal tracking through advanced video analysis. There's consistent focus on improving classification algorithms for imbalanced data and developing theoretical frameworks for prototype-based learning systems.

Research Projects:

• Prototype Selection from Streaming, Drifting and Partly Labelled Data (Leverhulme Trust)
• Feature selection for COPD diagnostic systems
• KTP collaboration with Semantise Ltd. on industrial applications

Teaching:

• Mathematics for Computing
• Algorithm Design with MATLAB
• Pattern Recognition and Neural Networks
• Final Year Project supervision