Faculty

Institution

Unit

Venue

Md Al Masum Bhuiyan

Assistant Professor

Austin Peay State University

Affiliations

Austin Peay State University

College of Science, Technology, Engineering, and Mathematics

Mathematics and Statistics

Department Of Behavioral Health

Department Of Computer Science And Quantitative Methods

Department Of Mathematics And Computer Science

Md Al Masum Bhuiyan is currently serving as an Austin Peay State University Assistant Professor at Austin Peay State University.

Honors

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Experiences

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Education

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Md Al Masum Bhuiyan

Austin Peay State University

Assistant Professor

You can click a keyword to filter the displayed items

forecasting statistics earth science seismology mathematics physics econometrics machine learning atmospheric science financial time series analysis volatility modeling time series financial analysis climatology atmospheric measurement technique atmospheric environment atmospheric research urban climate statistical mechanics machine learning research statistical methodology economic analysis aerosol science air quality geographical information science geophysical research disease diagnosis prognosis climate forecasting ozone layer depletion atmospheric condition econophysics high-frequency financial econometrics earthquake forecasting forecasting methodology covid-19 pandemic filtering technique air pollution climatology financial data classification method geoinformatics geocomputation exploration geophysics geodetic network volcanic time series long-range correlations wavelets techniques dynamic fourier stock market data ornstein-uhlenbeck type models stochastic volatility techniques applied predict tropospheric ozone semi-arid climate region analytic methods seismic signals natural earthquakes dynamic fourier analysis mining explosions long memory effects

Notable Scholarly Works

Notable Federal Grants

Collaborators

Classification of Geophysical Events in the Getchell Mine. Lecture notes in networks and systems (2025)

geoinformaticsgeographical information scienceseismologygeophysical researchgeocomputationexploration geophysicsgeophysicsgeographygeodetic network

Classification of Financial Events and Its Effects on Other Financial Data. Axioms (2023)

Maria C. MarianiOsei K. TweneboahMd Al Masum BhuiyanMaria P. Beccar-VarelaIonut Florescu

financial eventsfinancial dataclassification methodfinance

Short and Long-Term Forecasting of Emerging Market Data Using Arima-Based and Boosting Machine Learning Algorithms. Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA ...) (2023)

predictive analyticsforecasting methodologyfinancial time series analysisfinancestatisticsmachine learning researchstatistical methodologyforecasting

Machine Learning Techniques Applied to Predict Tropospheric Ozone in a Semi-Arid Climate Region. Mathematics (2021)

atmospheric measurement techniqueatmospheric environmentatmospheric researchenvironmental scienceclimate forecastingtechniques appliedearth scienceforecastingpredict tropospheric ozoneatmospheric scienceozone layer depletionsemi-arid climate region

Volatility Estimation for Covid-19 Daily Rates Using Kalman Filtering Technique. Results in Physics (2021)

Md Al Masum BhuiyanSuhail MahmudMd Romyull IslamNishat Tasnim

public healthfinancial economicssars-cov-2econometricscovid-19kalman filtering techniqueepidemiologycovid-19 pandemicvolatility modelingfiltering techniqueeconomic analysisinfectious diseasesvolatility estimation

A Study on Statistical Data Mining Algorithms for the Prediction of Ground-Level Ozone Concentration in the El Paso–Juarez Area. Aerosol Science and Engineering (2020)

aerosol sciencedata miningair pollution climatologyearth scienceair qualityatmospheric scienceair pollution

Long Memory Effects and Forecasting of Earthquake and Volcano Seismic Data. Physica A Statistical Mechanics and its Applications (2020)

Maria C. MarianiMd Al Masum BhuiyanOsei K. TweneboahHector Gonzalez-Huizar

physicslong memory effectsseismologyearthquake forecastingvolcano seismic dataforecasting

Long-Range Correlations and Characterization of Financial and Volcanic Time Series. Mathematics (2020)

Maria C. MarianiPeter K. AsanteMd Al Masum BhuiyanMaria P. Beccar-VarelaSebastian JaroszewiczOsei K. Tweneboah

volcanic time seriestime seriesmathematicslong-range correlations

Study of Wind Speed and Relative Humidity Using Stochastic Technique in a Semi-Arid Climate Region. AIMS environmental science (2020)

climatologyenvironmental scienceenvironmental monitoringurban climateatmospheric conditionmeteorology

Analysis of Stock Market Data by Using Dynamic Fourier and Wavelets Techniques. Physica A Statistical Mechanics and its Applications (2019)

Maria C. MarianiMd Al Masum BhuiyanOsei K. TweneboahMaria P. Beccar-VarelaIonut Florescu

financial analysisstatisticswavelets techniquesdynamic fourierstock market data

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Md Al Masum Bhuiyan

Assistant Professor

Austin Peay State University

Affiliations

Austin Peay State University

College of Science, Technology, Engineering, and Mathematics

Mathematics and Statistics

Department Of Behavioral Health

Department Of Computer Science And Quantitative Methods

Department Of Mathematics And Computer Science

Md Al Masum Bhuiyan is currently serving as an Austin Peay State University Assistant Professor at Austin Peay State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Md Al Masum Bhuiyan

Austin Peay State University

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Classification of Geophysical Events in the Getchell Mine. Lecture notes in networks and systems (2025)

geoinformaticsgeographical information scienceseismologygeophysical researchgeocomputationexploration geophysicsgeophysicsgeographygeodetic network

Classification of Financial Events and Its Effects on Other Financial Data. Axioms (2023)

Maria C. MarianiOsei K. TweneboahMd Al Masum BhuiyanMaria P. Beccar-VarelaIonut Florescu

financial eventsfinancial dataclassification methodfinance

predictive analyticsforecasting methodologyfinancial time series analysisfinancestatisticsmachine learning researchstatistical methodologyforecasting

Machine Learning Techniques Applied to Predict Tropospheric Ozone in a Semi-Arid Climate Region. Mathematics (2021)

Volatility Estimation for Covid-19 Daily Rates Using Kalman Filtering Technique. Results in Physics (2021)

Md Al Masum BhuiyanSuhail MahmudMd Romyull IslamNishat Tasnim

A Study on Statistical Data Mining Algorithms for the Prediction of Ground-Level Ozone Concentration in the El Paso–Juarez Area. Aerosol Science and Engineering (2020)

aerosol sciencedata miningair pollution climatologyearth scienceair qualityatmospheric scienceair pollution

Long Memory Effects and Forecasting of Earthquake and Volcano Seismic Data. Physica A Statistical Mechanics and its Applications (2020)

Maria C. MarianiMd Al Masum BhuiyanOsei K. TweneboahHector Gonzalez-Huizar

physicslong memory effectsseismologyearthquake forecastingvolcano seismic dataforecasting

Long-Range Correlations and Characterization of Financial and Volcanic Time Series. Mathematics (2020)

Maria C. MarianiPeter K. AsanteMd Al Masum BhuiyanMaria P. Beccar-VarelaSebastian JaroszewiczOsei K. Tweneboah

volcanic time seriestime seriesmathematicslong-range correlations

Study of Wind Speed and Relative Humidity Using Stochastic Technique in a Semi-Arid Climate Region. AIMS environmental science (2020)

climatologyenvironmental scienceenvironmental monitoringurban climateatmospheric conditionmeteorology

Analysis of Stock Market Data by Using Dynamic Fourier and Wavelets Techniques. Physica A Statistical Mechanics and its Applications (2019)

Maria C. MarianiMd Al Masum BhuiyanOsei K. TweneboahMaria P. Beccar-VarelaIonut Florescu

financial analysisstatisticswavelets techniquesdynamic fourierstock market data

1
2
10 / page