Author

Milica Ostojić

Imperial College LondonORCID 0009-0009-7891-0278Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1

Frequent Co-Authors

Sarab S. SethiiD· 2 shared Matt Phelps· 1 shared Mirko KovačiD· 1 shared Oscar PangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersEcology

Sarab S. SethiORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintSep 29, 2026

Fly, land, listen: Autonomous intermittent locomotion enables scalable low-noise drone ecoacoustic surveys

Milica Ostojić, Oscar Pang, Matt Phelps…·Sarab S. Sethi

This paper introduces an autonomous drone platform for ecoacoustic surveys that uses intermittent locomotion to collect audio data without disturbing wildlife, achieving comparable biodiversity results to traditional methods.

DOI 10.64898/2026.09.28.754547

imagingexperimental assay

𝕏 PostBluesky

EcologyEcological InformaticsPeer-reviewedJul 21, 2026

Automated bird flight pattern extraction and classification using machine learning

Milica Ostojić, Sarab S. Sethi

This paper presents a machine learning approach to classify bird flight patterns using inexpensive equipment, achieving species-level classification with moderate accuracy.

DOI 10.1016/j.ecoinf.2026.103946

non-human primateimaging

𝕏 PostBluesky