Md Al Masum Bhuiyan

Dr. Masum Bhuiyan is a Data and Predictive Analyst in the concentration of Mathematical Finance and Applied Statistics. He received two Masters' degrees in Applied Mathematics and earned a Ph.D. from the University of Texas at El Paso. He completed the Big Data Analytics Certification and SAS Base Programmer Certification exams.

My research interests focus on Applied Statistics, high frequency, and high dimensional data analysis with machine learning, deep learning, and stochastic models. I have been working on various data types based on their dynamics, such as financial stock market Data, Geophysical Earthquake data, Mining Explosion data, Meteorological data, Atmospheric Data, and Public health data. However, I am experienced with times series analysis, Ornstein Uhlenbeck type models, Long memory/long-range dependence, and Fast Fourier transform.

Fall 2020:

MATH 5260/4260: Stochastic Process

MATH 4240: Probability

MATH 1530 Elements of Statistics

 

Spring 2021:

STAT 5290: Predictive Analytics

STAT 5800: Differential Equation and Stochastic Analysis

MATH 1530: Elements of Statistics

 

1. Reza, S., Bhuiyan, M.A.M, Tasnim, N. (2021), A Convolution Neural Network with Encoder-Decoder Applied to the Study of Bengali Hand-written Grapheme Classification, Big Data and Information Analytics (AIMS), 06, 41-55.

2. Varela, M.P.; Bhuiyan, M.A.M; Tweneboah, O.K..; Asante, P.; Mariani, M.C. (2021), Solving Third Order Ordinary Differential Equations by using Ricatti Equations, 2021 Hawaii University International Conferences.

3. Bhuiyan, M.A.M, Suhail M., Islam, R. Tasnim, N. (2021), Volatility Estimation of COVID-19 Daily Rates Using Kalman Filtering Technique, Elsevier: Results in Physics, 26, 104291.

4. Bhuiyan, M.A.M, Suhail M., Nusrat S., Sanjeeda E. (2020) A Study on Statistical Data Mining Algorithms for the Prediction of Ground Level Ozone Concentration in the El Paso-Juarez Area, Aerosol Science Engineering, DOI: 10.1007/s41810-020-00074-2.

5. Bhuiyan, M.A.M, (2020) Predicting Stochastic Volatility For Extreme Fluctuations In High Frequency Time Series, Open Access Theses Dissertations, 2934.

6. Mariani, M., Asante P.K., Bhuiyan, M.A.M, Tweneboah, O., Varela, M.P., Jaroszewicz, S., Tweneboah, O., (2020), Long-Range Correlations and Characterization of Financial and Volcanic Time Series., Mathematics(MDPI), 8(3), 441.

7. Mariani, M., Bhuiyan, M.A.M, Tweneboah, O., Tweneboah, O., Huizar, H.G. (2020), Long memory effects and forecasting of earthquake and volcano seismic data, Elsevier-Physica A, 125049.

8. Mahmud, S., Bhuiyan, M.A.M, Sarmin, M., Elahee, S. (2020), Study of wind speed and relative humidity using stochastic technique in a semi-arid climate region, AIMS Environmental Science,7, 156-173.

9. Mariani, M., Bhuiyan, M.A.M, Tweneboah, O., Varela, M.P., Florescu, I. (2019) Analysis of stock market data by using Dynamic Fourier and Wavelets techniques, Physica A- Statistical Mechanics and its Applications, 537, 122785.

10. Mariani, M., Bhuiyan, M.A.M, Tweneboah, O., (2019) Supervised machine learning models applied to disease diagnosis and prognosis, AIMS Public health, 6(4), 405-423.

11. Beccar, M.P., Bhuiyan, M.A.M, Mariani, M.C., Tweneboah, O. (2019) Analytic Methods for Solving Higher Order Ordinary Differential Equations, Mathematics (MDPI), 7(9), 826.

12. Mariani, M., Bhuiyan, M.A.M, Tweneboah, O. (2019) Statistical data mining algorithms for the prognosis of diabetes and autism, 9th Annual STEM conference, Hawaii.

13. Beccar, M.P., Bhuiyan, M.A.M, Mariani, M.C., Tweneboah, O. (2019) Analytic Solutions for Third Order Ordinary Differential Equations, 9th Annual STEM conference, Hawaii.

14. Mariani, M., Bhuiyan, M.A.M, Tweneboah, O., Huizar, H.G., Florescu I. (2018) Volatility models applied to geophysics and high frequency financial market data, Physica A- Statistical Mechanics and its Applications, 503 (2018), 304-321

15. Mariani, M., Bhuiyan, M.A.M, Tweneboah, O. (2018) Estimating stochastic volatility by using Ornestein-Uhlenbeck type models, Physica A- Statistical Mechanics and its Applications, 491, 167-176.

16. Maria, M., Hector, H.G., Bhuiyan, M.A.M, Tweneboah, O. (2017) Using dynamic fourier analysis to discriminate between seismic signals from natural earthquakes and mining explosions, AIMS Geosciences, 3(3), 438-449.

17. Mariani, M., Bhuiyan, M.A.M, Tweneboah, O. (2017) Forecasting the volatility of geophysical time series with stochastic volatility models, International Journal of Mathematical, Computational, Physical, Electrical Engineering .

18. Bhuiyan, M.A.M (2015) Associativity forcing commutativity in left nil rings, ProQuest, UTEP.