Author

Diptarup Nandi

Azim Premji UniversityORCID 0000-0002-3021-3045Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Organism:multiple species· 1 Approach:simulation· 1

Frequent Co-Authors

Rohini BalakrishnaniD· 2 shared Bubacarr BahiD· 1 shared Emmanuel KabugaiD· 1 shared Gciniwe S. DlaminiiD· 1 shared Ian N. DurbachiD· 1 shared Megha Suswaram· 1 shared Stuart A. BurrelliD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Rohini BalakrishnanORCID

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2 papers

Recent·Most cited

BioinformaticsThe Journal of the Acoustical Society of AmericaPeer-reviewedJun 1, 2026

Acoustic individual identification in a species of field cricket using deep learning

Emmanuel Kabuga, Diptarup Nandi, Stuart A. Burrell…·Ian N. Durbach

This paper uses deep learning to identify individual field crickets from their calls, achieving high accuracy in both same-night and cross-night tests.

DOI 10.1121/10.0044100

deep learning

𝕏 PostBluesky

Evolutionary BiologybioRxivPreprintJan 29, 2019

A sensory ecological perspective on mate sampling strategies: simulation models and an empirical test

Diptarup Nandi, Megha Suswaram, Rohini Balakrishnan

The paper uses simulation models and empirical tests to evaluate mate sampling strategies in field crickets, finding that passive attraction to louder callers is optimal.

DOI 10.1101/533489

multiple speciessimulation

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