Sinka M.E., Pironon S., Massey N.C., Longbottom J., Hemingway J., Moyes C. L., Willis K.J., 2020: A new malaria vector in Africa: Predicting the expansion range of Anopheles stephensi and identifying the urban populations at risk. In PNAS Sep 2020, 202003976; DOI: 10.1073/pnas.2003976117

Kiskin I., Cobb A.D., Wang L., Li Y., Zilli D., Sinka M., Willis K., Roberts S., 2020: HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset. Best paper award at NeurIPS 2019 Workshop: Machine Learning For the Developing WorldarXiv:2001.04733

Kiskin I., Zilli D., Li Y., Sinka M., Willis K., Roberts S., 2020: Bioacoustic detection with wavelet-conditioned convolutional neural networks. In Neural Computing and Applications 32 (4), 915-927.

Li Y., Kiskin I., Sinka M. , Zilli D, Chan H., Herreros-Moya E., Chareonviriyaphap T., Tisgratog R., Willis K., Roberts S., 2018: Fast mosquito acoustic detection with field cup recordings: an initial investigation. In Detection and Classification of Acoustic Scenes and Events; Tampere University of Technology 2018: 153-157.

Li Y., Zilli D., Chan H., Kiskin I., Sinka M., Roberts S., Willis K., 2017: Mosquito detection with low-cost smartphones: data acquisition for malaria research. In NIPS 2017 Workshop on Machine Learning for the Developing World 2017. arXiv:1711.06346

Li Y., Kiskin I., Zilli D., Sinka M., Chan H., Willis K., Roberts S, 2017.: Cost-sensitive detection with variational autoencoders for environmental acoustic sensing. Presented at the NIPS 2017 Workshop on Machine Learning for Audio Signal ProcessingarXiv:1712.02488

Kiskin I., Orozco B.P., Windebank T., Zilli D., Sinka M., Willis K, Roberts S., 2017: Mosquito detection with neural networks: the buzz of deep learning. In ArXiv 2017. arXiv:1705.05180

Kiskin I.,  Zilli D., Roberts S.: Autonomous Machines and Intelligent Systems (AIMS) Centre for Doctoral Training project. 



"New Asian mosquito could bring malaria to African cities, warn scientists" The Guardian (14/09/2020)