FVSUag Directory
Ramana M. Gosukonda, PhD
Professor of plant science and biotechnology
(478) 825-6836
(478) 825-6376
gosukonr@fvsu.edu
Academic Program: Biotechnology, Plant & Environmental Soil Sciences
Research Area: Plant Biotechnology
Research Interests:
Research efforts have been focused on bioinformatics, applied artificial neural networks, applied biotechnology, curriculum design, and pedagogy. Other research interests include development of instructional/research tools using latest technologies.
Education:
Doctor of Philosophy: Plant and Soil Science, Alabama A&M University, Normal, AL (1998) Dissertation Title: Development of an in vitro plant regeneration protocol for genetic transformation of Populus deltoids
Master of Science: Computer Science - Alabama A&M University, AL (2000)
Master of Science: Plant and Soil Science - Tuskegee University, Tuskegee, AL (1994) Thesis Title: In vitro morphogenesis of sweet potato plants
Master of Science: Botany - Osmania University, Hyderabad, Telangana State, India (1989)
Bachelor of Education: Teaching skills for science curriculum - Osmania University, Hyderabad, Telangana State, India. (1990)
Bachelor of Science: Botany, Zoology, Chemistry - Osmania University, Hyderabad, Telangana State, India. (1986)
Recent Publications/Presentations:
Peer-Reviewed Journal Publications (selected)
Bryant, M.T., Degala, H.L., Mahapatra, A.K., Gosukonda, R.M. and Kannan, G. 2021. Inactivation of Escherichia coli K12 by pulsed UV light on goat meat and beef: microbial responses and modelling. International Journal of Food Science and Technology. 55(8). Pp 56: (2) 563-572.
Gosukonda, V, Singh, H., and Gosukonda, R. 2020. Comparative Analysis of Nitrogen-to-Protein Conversion Factors for Determining Net Protein Content in Six Superfoods. Journal of Microbiology, Biotechnology and Food Sciences.9(4). Pp856-860.
Kannan, G., Gosukonda, R., Mahapatra, A.K. 2019. Prediction of stress responses in goats: comparison of artificial neural network and multiple regression models. Canadian Journal of Animal Science. 100 (1). Pp102-110.
Gosukonda, R., Mahapatra, A. K., Ekefre, D., and Latimore, M. 2017. Prediction of Thermal Properties of Sweet Sorghum Bagasse as a Function of Moisture Content Using Artificial Neural
Networks and Regression Models, Acta Technologica Agriculturae, 20(2). Pp 29-35.
Gosukonda, R., Mahapatra, A., X. Liu, and G. Kannan. 2015. Application of artificial neural network to predict Escherichia coli O157:H7 inactivation on beef surfaces. Food Control 47(2015). Pp 606-614.
Abstract Publications (selected)
Ramana Gosukonda, Nirmal Josee, and Ajit Mahapatra, 2022. Machine Learning Approaches in Plant Tissue Culture: A Case Study of Brahmi. American Council for Medicinally Active Plants 11th Annual Hybrid Conference. Puerto Rico, June 28, 2022 - July 2.
Pavitra Viswanathan, Jaabili Gosukonda, Samantha Sherman, Nirmal Joshee, and Ramana Gosukonda. 2022 Artificial Neural Networks Modeling to Predict the In Vitro Morphogenesis of Bacopa monnieri. 20th Research Symposium of the Association of 1890 Research Directors, Atlanta, April 2-5.
Govind Kannan, Ramana Gosukonda, and Ajit Mahapatra. 2018. Application of Artificial Neural Network to Predict Physiological Stress Responses in Goats due to Transportation. ASAS-CSAS Annual Meeting and Trade Show Vancouver, Canada. July 8-12.
Ramana Gosukonda, Ajit Mahapatra, Hema Degala, and Govind Kannan. 2018. Development of artificial neural networks models to predict inactivation of Escherichia coli K 12 on chevon due to non-thermal hurdle technologies. ASABE Annual International Meeting, July 29 - August 1.
Vennela Gosukonda, Hari P. Singh, Ramana M. Gosukonda. 2018. Quantification of True Protein in Six Superfoods Using Nitrogen-to-Protein Conversion Factors Based on Individual Amino Acid Profiles, Plant Biology Annual Conference, Montreal, July 14-18.
Vennela Gosukonda, Hari P. Singh, Ramana M. Gosukonda. 2018. Determination of Protein Content of Moringa Oleifera Leaf by an Adjusted Nitrogen-to-Protein Conversion Factor. Annual conference of ASA, CSSA, and CSA. Baltimore, MD, November 4-7.