Borhan Uddin

Md Borhan Uddin

Graduate Research Assistant
Washington State University,
Pullman, WA

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© 2024 by Borhan Uddin.

Hey, I'm Borhan Uddin.

Md Borhan Uddin is a graduate student in Statistics at Washington State University with a strong research background and a keen interest in developing statistical methodologies and machine learning tools for real-world applications. Currently, Borhan is contributing to the Statistical Foundations of AI project under the guidance of Professor Dr. Nairanjana Dasgupta. His work focuses on investigating the foundational principles of statistics in artificial intelligence, with a particular emphasis on addressing challenges posed by acutely imbalanced datasets. Additionally, he is actively involved in curriculum development aimed at enhancing the accessibility and visibility of data analysis programs to foster greater enrollment and engagement. Borhan’s academic journey has been marked by numerous achievements, including the prestigious Sidney G. Hacker Graduate Scholarship and the National Science and Technology Fellowship. Beyond academics, he enjoys mentoring students, organizing professional events, and sharing his love for badminton and hiking.

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Research

Research Interest

  • Statistical Machine Learning
  • Computational Statistics (e.g., MCMC methods)
  • Bayesian Statistics
  • Time Series Analysis


Research Experience

  • Research Assistant (RA), Washington State University
    August 2024 – Present

Project: Statistical Foundations of Artificial Intelligence

Principal Investigator (PI): Professor Dr. Nairanjana Dasgupta*

    • Contributed to curriculum development to increase the visibility and enrollment of data analysis programs.
    • Explored foundational statistical principles in AI, focusing on challenges in imbalanced datasets.

 

  • Research Assistant (RA), Research Center, SUST
    July 2022 – June 2023

Project: Trend of air quality and investigating its association with urbanization around the major cities of Bangladesh

Principal Investigator (PI): Professor Dr. Khalidur Rahman**

    • Investigated relationships between urbanization and air quality through data extraction, analysis, and manuscript preparation.

 

  • Research Assistant (RA), Research Center, SUST
    July 2021 – June 2022

Project: An evaluation of time series models and machine learning algorithms for predicting     temperature in Sylhet, Bangladesh

Principal Investigator (PI): Professor Dr. Khalidur Rahman**

    • Developed and compared predictive models including ARIMA, ARIMAX, KNN, SVM, Random Forest, AdaBoost, and ANN.
    • Performed data analysis and contributed to manuscript preparation.

 

  • Research Assistant (RA), Research Center, SUST
    October 2020 – September 2021

Project: Modelling Multidimensional Elderly Disease Outcomes Using Classical and Bayesian Approaches

Principal Investigator (PI): Dr. Mohammad Romel Bhuia**

    • Conducted data collection, exploratory data analysis, and questionnaire preparation.
    • Determined risk factors for elderly diseases across strata using Joint Models (JM).

 

  • Research Assistant (RA), Research Center, SUST
    July 2020 – June 2021

Project: Improving patient management in Cardiology Department, MAG Osmani Medical College, Sylhet, Bangladesh

Principal Investigator (PI): Professor Dr. Khalidur Rahman**

    • Utilized M/M/c/c and M/M/c/K queuing models to optimize bed allocation and measure departmental performance.
    • Conducted data preparation, analysis, visualization, and literature review.

 

* Chair, Department of Mathematics and Statistics, Washington State University

** Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh

Publications

  • Optimizing Inpatient Flow and Resource Allocation in Cardiology Using Queuing Theory: A  Case Study from a Tertiary Hospital in Bangladesh

Authors: Md Borhan Uddin, Khalidur Rahman, Md Asaduzzaman, Sabbir Tahmidur Rahman                                                      

Status: Under review, SSM – Health Systems

 

  • Perspectives of University Students on Life During the COVID-19 Pandemic: Investigating the Role of Financial Capacity in a Secondary City of Bangladesh

Authors: Md Borhan Uddin, Khalidur Rahman, Md Sabbir Hossain, Nafiul Hasan, Mahfuzer Rohman, Fazle Elahi Md Faisal

Status: Under review, Journal of Education and Health Promotion

 

  • An Evaluation of Time Series Models and Machine Learning Algorithms for Predicting Temperature in Sylhet, Bangladesh

Authors: Md Borhan Uddin, Khalidur Rahman

Status: Ready to submit

 

  • A Comparative Study of ARIMA and Hybrid ARIMA-GARCH Models in Forecasting the Exchange Rate of Bangladesh

Authors: Md Borhan Uddin

Status: Published in the International Conference: ICERIE 2023 (icerie.sust.edu)

 

  • Modeling Monthly Rainfall in Noakhali Coastal Region of Bangladesh: A Box-Jenkins     Approach

Authors: Md Borhan Uddin

Status: Published in the International Conference: ICERIE 2023 (icerie.sust.edu)

Teaching

  • Instructor – Probability and Statistics, STAT-360 Summer 2024

Department of Mathematics and Statistics, Washington State University

    • Independently designed and taught the course, engaging students in probability theory and statistical inference through interactive lectures and assessments.

 

  • Teaching Assistant – Introduction to Statistical Methods, STAT-212 Spring 2024

Department of Mathematics and Statistics, Washington State University

    • Guided lab sessions, assisted with data analysis projects, and provided feedback to enhance students’ understanding of statistical methodologies.

 

  • Teaching Assistant – Calculus I, MATH-171 Fall 2023

Department of Mathematics and Statistics, Washington State University

    • Supported students in mastering foundational calculus concepts through problem-solving sessions and personalized guidance.

Contact With Me

Have questions? Get in touch with me through the form below!

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© 2024 by Borhan Uddin.