Waqas Rafique

Dr Waqas Rafique serves as an Honorary Associate Professor in the Department of Computer Science at University College London. His academic journey includes postdoctoral research positions at the University of Oxford's Engineering Science Department, University of Cambridge's Computer Laboratory, and King's College London's Department of Informatics.

His research expertise spans applied data science and signal processing, with particular focus on bioacoustics and machine learning applications in social and biomedical contexts. Rafique has pioneered work in acoustic mosquito monitoring for malaria eradication and spatio-temporal predictive analysis of landmine risk, demonstrating his commitment to using computational methods for global health and humanitarian challenges.

His publication record shows a consistent trajectory in developing machine learning solutions for real-world problems, with particular emphasis on audio signal processing applications. His work bridges computer science with practical implementations in public health monitoring and environmental sensing systems.

• Exceptional Promise (Potential Leader) from Royal Academy of Engineering

Rafique's research has direct applications in global health initiatives and humanitarian demining efforts, with his bioacoustics work contributing to malaria eradication programs. His interdisciplinary approach connects computer science with practical field applications in challenging environments.

His laboratory work has focused on developing robust acoustic monitoring systems that function effectively in resource-constrained settings, particularly his HumBug project for mosquito detection using budget smartphones.