Scholar
Dan Stowell
Google Scholar ID: BXu3q_wAAAAJ
Tilburg University / Naturalis Biodiversity Centre
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Citations & Impact
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Citations
3,352
H-index
26
i10-index
53
Publications
20
Co-authors
85
list available
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Publications
9 items
Effects of interpulse-interval variation on deep-learning classification of bat vocalizations
2026
Cited
0
Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference
2026
Cited
0
ChiroEcho: extending automated bat vocalisation classification beyond the learned taxonomy
2026
Cited
0
bacpipe: a Python package to make bioacoustic deep learning models accessible
2026
Cited
0
Torus embeddings
2026
Cited
0
Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
2025
Cited
0
InsectSet459: an open dataset of insect sounds for bioacoustic machine learning
2025
Cited
0
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
2025
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Resume
Academic Achievements
Feb 2024: Launched the TABMON project with a new postdoc recruitment
Nov 2023: Published teaching materials on 'AI for Nature & Environment'
May 2021: Joined the editorial board of PLOS Computational Biology
Nov 2020: Published a harmonized open dataset on UK solar photovoltaic installations
Oct 2020: Published a special journal issue on 'Ecoacoustics and Biodiversity Monitoring'
May 2019: Chaired a special session on wildlife bioacoustics at ICASSP 2019
Sep 2018: Published research on deep learning for nocturnal bird audio monitoring
Jul 2017: Promoted to Senior Researcher
Aug 2016: Announced the Bird Audio Detection Challenge
Aug 2015: Launched the Warblr birdsong recognition app for iOS and Android
Frequent invited speaker at international events including Dagstuhl VIHAR seminar, WiSSAP winter school, and Intelligent Sensing Summer School
Research Experience
Since March 2021: Associate Professor of AI & Biodiversity at Tilburg University, Naturalis Biodiversity Centre, and JADS
Led the Lorentz Centre workshop 'Full-stack bioacoustics' in August 2022
Founded and led the Machine Listening Lab at Queen Mary University of London (QMUL) in March 2016
Supervised multiple PhD students and postdocs, including Veronica Morfi, Pablo Alvarado Duran, Lies Zandberg, Rita Pucci, and Ben McEwen
Involved in international collaborative projects such as the TABMON project (launched 2024) and the Bioacoustic AI PhD program (2023)
Co-authors
12 total
Emmanouil Benetos
Queen Mary University of London
Mathieu Lagrange
CNRS Researcher @ ls2n
Inês Nolasco
Queen Mary University of London
Shubhr singh
Phd researcher, Queen Mary University of London
Ariana Strandburg-Peshkin
University of Konstanz & Max Planck Institute of Animal Behavior
Burooj Ghani
Scientific Researcher in AI & Biodiversity
Vincent Lostanlen
LS2N, CNRS
Yannis Stylianou
Professor of Speech Processing, University of Crete and Research Manager at Apple