Binod Rimal

Binod Rimal serves as Assistant Professor in the Mathematics Department and Director of the Data Science Program at The University of Tampa, where he bridges theoretical statistics with cutting-edge machine learning applications.

His academic credentials include:

• B.A. from Tribhuvan University (Nepal), 2007
• M.A. from Tribhuvan University (Nepal), 2011
• M.S. from Florida Atlantic University, 2016
• Ph.D. from Florida Atlantic University, 2022

Professor Rimal's research centers on sequence modeling and deep learning applications, with significant contributions in financial time series prediction using LSTM architectures. His work demonstrates consistent innovation in developing integrated frameworks like LSTM-SDM for sequential data analysis while maintaining strong connections to statistical validation methods. Recent publications show progression from environmental statistics to sophisticated financial modeling, reflecting his ability to adapt machine learning techniques across domains.

His scholarly recognition includes:

• Research Innovation and Scholarly Excellence (RISE) Grant 2023-2024 (GR3359)

As Data Science Program Director, Professor Rimal leads curriculum development while maintaining active research projects that provide student opportunities in machine learning implementation. His conference presentations demonstrate ongoing engagement with the research community, and his growing publication record in specialized journals reflects emerging expertise in applied deep learning. The RISE grant supports continued innovation in his financial modeling research while fostering student involvement in computational data analysis.