Ramchandra Rimal

Dr. Ramchandra Rimal is an Assistant Professor in the Department of Mathematical Sciences at Middle Tennessee State University (MTSU), specializing in Data Science. He holds a PhD from the University of Central Florida (2020), an MS from UCF (2017), and a BS from Tribhuvan University (2009).

His research focuses on Machine Learning, Statistical Network Models, and Classification/Clustering, with applications across diverse fields such as healthcare, finance, and biological sciences. He develops novel methodologies to solve real-world problems, including predictive modeling for stock markets, neurocognitive analysis, and network topology estimation.

Dr. Rimal has published in top journals like the Journal of the Royal Statistical Society and Journal of Machine Learning Research, with notable contributions to stochastic block models, density deconvolution, and deep learning frameworks. His work bridges theoretical advancements with practical applications in data-driven decision making.

• Awards: 2019 UCF Graduate Research Excellence Award, 2018 UCF Teaching Assistant Award
• Teaching: Courses include Probability & Statistics, Applied Predictive Modeling, and Data Science graduate programs at MTSU.

He actively presents at conferences such as the Symposium on Data Science and the Southeastern International Conference on Combinatorics. His research group collaborates on interdisciplinary projects, emphasizing both computational innovation and domain-specific relevance.