معرفی
Dr. Ivan Kiskin is a Lecturer in AI for Multimodal Health Monitoring at the University of Surrey's Surrey Institute for People-Centred Artificial Intelligence (PAI), affiliated with the School of Biosciences. He holds a PhD in Machine Learning for Acoustic Mosquito Detection from the University of Oxford (2020) and a first-class MEng in Engineering Science (2015). His research focuses on machine learning for audio/signal processing, Bayesian deep learning, and AI applications in health monitoring. He leads the HumBug project, developing smartphone-based mosquito detection systems funded by the Bill and Melinda Gates Foundation.
His work combines bioacoustic signal analysis with community-driven data collection strategies, particularly in malaria-prone regions. Key contributions include the HumBugDB dataset, few-shot learning frameworks for bioacoustic event detection, and evaluations of AI systems in pandemic response. He collaborates with the Centre for Vision, Speech and Signal Processing (CVSSP) and co-supervises PhD students in AI-driven health applications.
