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Baskar Ganapathysubramanian
Researcher at Iowa State University
Publications - 262
Citations - 6876
Baskar Ganapathysubramanian is an academic researcher from Iowa State University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 34, co-authored 221 publications receiving 4808 citations. Previous affiliations of Baskar Ganapathysubramanian include Cornell University.
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WiME: a departmental effort to improve recruitment, retention and engagement of women students in Mechanical Engineering
TL;DR: The Women in Mechanical Engineering (WiME) program at Iowa State University as mentioned in this paper is a student run, faculty moderated, and department funded program with a three pronged approach to enhance women participation in mechanical engineering.
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In silico design of crop ideotypes under a wide range of water availability
TL;DR: In this article, an in silico framework is constructed by coupling evolutionary optimization with thermodynamically sound crop physiology, and its ability to rationally design phenotypes with maximum productivity is demonstrated, within well defined limits on water availability.
Journal ArticleDOI
Dissecting the genetic architecture of leaf morphology traits in mungbean ( Vigna radiata (L.) Wizcek) using genome‐wide association study
Kevin O. Chiteri,Shivani Chiranjeevi,Talukder Z. Jubery,Ashlyn M. Rairdin,Somak Dutta,Baskar Ganapathysubramanian,Arti Singh +6 more
TL;DR: In this article , a regression model was developed to predict each ovate leaflet's area (adjusted R2 = 0.97; residual standard errors of < = 1.10).
Proceedings ArticleDOI
Rapid online quantification of tip-sample interaction for high-speed dynamic-mode atomic force microscope imaging
TL;DR: An ultra-fast inversion strategy based on parallel algorithms implemented on Graphical Processing Units (GPUs) is proposed to solve the tip-sample interaction estimation problem posed as an inverse problem and solved in near-real time using GPUs.
Zero-Shot Insect Detection via Weak Language Supervision
Benjamin S. Feuer,Ameya Joshi,Minsu Cho,Shivani Chiranjeevi,Ziwei Deng,Aditya Balu,Ajay K. Singh,Soumik Sarkar,Nirav Merchant,Arti Singh,Baskar Ganapathysubramanian,Chinmay Hegde +11 more
TL;DR: In this paper , the authors used a vision-language object detection method coupled with weak language supervision to automatically annotate images in this dataset with bounding box information localizing the insect within each image, which succeeded in detection of diverse insect species present in a wide variety of backgrounds.