Rate My Professor Prasannavenkatesan T

Dr. Theerthagiri boasts a prolific publication record, including more than 20 papers in SCI/SCI-E indexed journals, over 50 in Scopus-indexed journals, 10 national and international conference presentations, and 10 book chapters published by leading houses such as Elsevier, Springer, Wiley, Taylor & Francis, and Emerald. His influential works include 'Deep SqueezeNet learning model for diagnosis and prediction of maize leaf diseases' in Journal of Big Data (2024), 'Prediction and classification of minerals using deep residual neural network' in Neural Computing and Applications (2024), 'Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques' in Expert Systems (2022), 'Forecasting hyponatremia in hospitalized patients using multilayer perceptron and multivariate linear regression techniques' in Concurrency and Computation: Practice and Experience (2021), and 'Futuristic speed prediction using auto-regression and neural networks for mobile ad hoc networks' in International Journal of Communication Systems (2019). With approximately 1840 citations on Google Scholar, his research has notable impact in predictive modeling for healthcare, agriculture, and wireless networks. He has received the Best Researcher Award from GITAM University, a Bilateral Mobility Grant from the Republic of Slovenia (2017-2018), and recognition in the World's Top 2% Scientists 2025 list by Stanford University and Elsevier. Currently, he serves as Principal Investigator on several projects, including DST(NCSTC)-funded outreach on emerging technologies for rural students, DST(SHRI)-recommended heritage preservation via deep learning, DST(PVTGs)-endorsed tribal empowerment through smart honey harvesting, and GITAM(MURTI)-backed smart agriculture for crop health management.