Biography
Dr. Sazib Hasan is an associate professor of mathematics at Utah Tech University. His research focuses on applied statistics, statistical learning, and data-driven approaches to solving real-world problems. He is committed to advancing undergraduate research and fostering collaborative learning in higher education.
Previous Teaching
Dr. Hasan has taught at Utah Tech University since 2019. Prior to that, he served as a teaching assistant at the University of Louisiana at Lafayette and as a lecturer at BRAC University in Bangladesh.
Experience
13 years of teaching experience.
Research & Interests
- Fiducial inference
- Small sample inference
- Statistical methods for environmental data analysis
- Statistical learning
Publications & Projects
- Sm Zobaed, Fazle Rabby, Istiaq Hossain, Ekram Hossain, Md Sazib Hasan, Asif Karim, Khan Md. Hasib. (2021). DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning. In Artificial Intelligence in Cyber Security: Impact and Implications, pp. 177–201.
- Confidence intervals for the mean and a percentile based on zero-inflated lognormal data, Journal of Statistical Simulation and Computation, 2019.
- Prediction limits for the mean of a sample from a lognormal distribution: Uncensored and censored cases, Journal of Environmental Statistics, 2018.
- Improved confidence intervals for the ratio of coefficients of variation of two lognormal distributions, Journal of Statistical Theory and Applications, 2017.
- A Comparative Study on Algorithms for Shortest-Route Problem and Some Extensions, International Journal of Basic and Applied Sciences, 2015.
Presentations
- Challenges of Project-Based Learning, Joint Mathematics Meetings, California, 2024.
- Fostering Inner Creativity: The Benefits and Challenges of Encouraging Student-led Projects, MathFest, Tampa, FL, 2023.
- Fostering Inner Creativity: The Benefits and Challenges of Encouraging Student-led Projects, Global Polytechnic Summit, Utah Tech University, 2023.
- Improved Confidence Intervals for the Ratio of Coefficients of Variation of Two Lognormal Distributions, Joint Mathematics Meetings, Boston, MA, 2023.
- Advancing Student Learning through Customized Open Education Resources, AMS Joint Mathematics Meetings, 2022.
- Feasibility of C-OERs, 6th Annual Teaching, Learning, and Student Success Conference, Utah Tech University, 2021.
- Confidence Intervals for the Mean and a Percentile Based on Zero-Inflated Lognormal Data, Joint Mathematics Meetings, Denver, CO, 2020.