Meet Binod Rimal
Director/Data Science; Assistant Professor, Data Science, Mathematics
Phone: (813) 257-4084
Email: brimal@ut.edu
Address: 401 W. Kennedy Blvd. Tampa, FL 33606
Mailbox: 106F
Building:
TECH
Room: 674E
Education
2007 Tribhuvan University (Nepal), B.A.
2011 Tribhuvan University (Nepal), M.A.
2016 Florida Atlantic University, M.S.
2022 Florida Atlantic University, P.h.D
Courses Taught
Introduction to Data Science
Applied Data Science
Introduction to Statistics
Applied Statistics
College Algebra
Career Specialties
Binod Rimal's research interest includes sequence modeling, machine learning/deep learning, natural language processing and statistical modeling. He is interested in teaching courses in statistics, data science and machine learning.
Professional and Community Activities
Rimal is active in several research projects in deep neural networks, stock trading and statistical modeling. He has presented his research at national and international conferences. Some of the recent papers are listed below:
- Predicting stock market index using LSTM. Machine Learning with Applications, 9, 100320 (2022).
- LSTM-SDM: An integrated framework of LSTM implementation for sequential data modeling. Software Impacts, 14, 100396 (2022).
- Predicting NEPSE index price using deep learning models. Machine Learning with Applications, 9, 100385 (2022).
- A New Generalized Cauchy Distribution with an Application to Annual One Day Maximum Rainfall Data. Statistics, Optimization & Information Computing, 9(1), 123-136 (2021).
Honors and Awards
Research Innovation and Scholarly Excellence (RISE) Grants at UT: RISE 23-24 GR3359.