Rafiq Islam | Ph.D. Candidate in Mathematics
About
Hi, thank you and welcome to my website. My name is Mohammad Rafiqul Islam (Rafiq Islam), and I am a Ph.D. candidate in the Mathematics Department at Florida State University. My research focuses on Theoretical Machine Learning, particularly optimization and sampling techniques in Bayesian learning using Markov-Chain Monte Carlo (MCMC) algorithms. I work on developing scalable algorithms for collaborative learning under regularization and privacy constraints. My research is conducted under the supervision of professor Lingjiong Zhu.
Research
- Higher-Order Langevin Monte Carlo Algorithms, by T.L. Dang, M. Gurbuzbalaban, M. R. Islam, N. Yao and L. Zhu (2025). (Ongoing)
- Reflected Underdamped Langevin Monte Carlo Algorithm, by Hengrong Du, Qi Feng, Mert Gurbuzbalaban, Mohammad Rafiqul Islam, and Lingjiong Zhu (2025). (Ongoing)
- Generalized EXTRA stochastic gradient Langevin dynamics, by M. Gurbuzbalaban, M. R. Islam, X. Wang and L. Zhu (2024); Submitted to JMLR; arXiv preprint arXiv:2412.01993
- GJR-GARCH Volatility Modeling under NIG and ANN for Predicting Top Cryptocurrencies by Mostafa, F; Saha, P; Islam, Mohammad R.; Nguyen, N. (2021); Journal of Risk and Financial Management (link).
- Comparison of Financial Models for Stock Price Prediction, by Islam, Mohammad R.; Nguyen, N. (2020); Journal of Risk and Financial Management (link).
Teaching in Fall 2025
To find more about me, my research, teaching experiences, and my blog posts, please visit my Personal Website (click here)