Author

Naina Maharjan

University of South DakotaORCID 0009-0002-5302-3209Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Bichar Dip Shrestha GurungiD· 1 shared Dikshya BhandariiD· 1 shared Etienne Z. GnimpiébaiD· 1 shared Manish RayamajhiiD· 1 shared Rupesh YadaviD· 1 shared Shiva AryaliD· 1 shared Tuyen DoiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Bichar Dip Shrestha GurungORCID

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1 paper

Recent·Most cited

Forecasting Urban Wastewater Microbiome Dynamics Using a Digital Twin Framework

Bichar Dip Shrestha Gurung, Manish Rayamajhi, Naina Maharjan, Tuyen Do, Dikshya Bhandari, Rupesh Yadav, Shiva Aryal, Etienne Z. Gnimpiéba

This paper introduces a digital twin framework using Q-net to forecast microbial abundance in urban wastewater, achieving high accuracy in temporal dynamics and enabling scenario simulations.

bioRxiv · Jul 21, 2025 · PreprintBioinformatics