Author

Aliva Bakshi

Kansas State UniversityORCID 0009-0004-9899-1873Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Research Focus:synaptic & neural circuits· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Doina CarageaiD· 1 shared Jahid Chowdhury ChotoniD· 1 shared Md. Abdullah Al BariiD· 1 shared S. V. Krishna JagadishiD· 1 shared Scott R. BeaniD· 1 shared Swaraj Pramanik· 1 shared Terry J. FelderhoffiD· 1 shared Trevor D. WittiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPlant Biology

Doina CarageaORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Plant BiologyPlant PhenomicsPeer-reviewedDec 12, 2025

Deep Learning for Sorghum Yield Forecasting using Uncrewed Aerial Systems and Lab-Derived Imagery

Md. Abdullah Al Bari, Aliva Bakshi, Jahid Chowdhury Choton…·Terry J. Felderhoff

This paper uses deep learning models to detect sorghum panicles from aerial and lab images, improving yield prediction through machine learning regression.

2 citations

imagingfluorescence / live-cell microscopy

𝕏 PostBluesky