Kandukuri Raman
· Adjunct Professor in the School of Integrative Plant Science and Faculty Fellow in the David R. Atkinson Center for a Sustainable FutureCornell University · Horticulture
Active 1965–2026
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About
Kandukuri Raman is an Adjunct Professor in the School of Integrative Plant Science at Cornell University and serves as a Faculty Fellow in the David R. Atkinson Center for a Sustainable Future. His work at Cornell began in 1993 and focuses on international agriculture, food production in developing countries, crop biotechnology, crop improvement, curriculum development, and capacity building. He has coordinated and led a multi-semester course in India involving faculty from both countries and over 1,000 students, and has played a leadership role in various Cornell programs in India aimed at capacity development. His research emphasizes global agricultural development, with specific focus on crop biotechnology, potato crop improvement, integrated pest management, and the safe transfer of proprietary applications in plant biotechnology to developing countries. He has contributed to promoting international collaborative research on potato late blight, developing genetically modified pest and disease resistant crops, and supporting sustainable development goals to achieve food security. His outreach work involves developing partnerships and capacity development projects across Latin America, Africa, and Asia, working with donors, researchers, and private sector entities to implement technology transfer, crop improvement, and international extension programs.
Research topics
- Computer Science
- Machine Learning
- Artificial Intelligence
- Biology
- Data Mining
- Library science
- Genetics
- Veterinary medicine
- Agronomy
- Horticulture
Selected publications
American Journal of Potato Research · 2022 · 8 citations
Senior authorCorrespondingRefract ICL: Rethinking Example Selection in the Era of Million-Token Models
ArXiv.org · 2025-06-14
preprintOpen accessThe emergence of long-context large language models (LLMs) has enabled the use of hundreds, or even thousands, of demonstrations for in-context learning (ICL) - a previously impractical regime. This paper investigates whether traditional ICL selection strategies, which balance the similarity of ICL examples to the test input (using a text retriever) with diversity within the ICL set, remain effective when utilizing a large number of demonstrations. Our experiments demonstrate that, while longer…
bioRxiv (Cold Spring Harbor Laboratory) · 2025-12-10
preprintAbstract Treatment of Mycobacterium tuberculosis (Mtb) is challenging and requires administration of at least four different antibiotics. Unfortunately, multi-drug resistant Mtb strains continue to emerge, undermining the effectiveness of current treatment regimens and highlighting the urgent need for new therapeutics. In this study, we evaluated the potential of natural product-derived chlorotonils as anti-Mtb agents. We demonstrate that chlorotonils exhibit nanomolar potency against a range of…
Recent grants
NIH · $62k · 2014
Frequent coauthors
- 51 shared
Arun K. Tangirala
Indian Institute of Technology Madras
- 34 shared
Malvika Sudhakar
Technical University of Denmark
- 29 shared
Priyan Bhattacharya
- 28 shared
Aarthi Ravikrishnan
Genome Institute of Singapore
- 27 shared
Balaraman Ravindran
Indian Institute of Technology Madras
- 25 shared
Balagurunathan Kuberan
- 23 shared
Pratyay Sengupta
Robert Bosch (India)
- 22 shared
Raghunathan Rengaswamy
Indian Institute of Technology Madras
Awards & honors
- King Baudouin Award
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