Our Team

The Data and Decision Sciences Lab is composed of top-tier researchers with years of experience in data science, operations research, and statistics projects.

Ph.D., Statistics, Iowa State University, 2013
M.A., Statistics, Ball State University, 2007
M.S., Statistics, University of Dhaka, 1998
B.S., Statistics, University of Dhaka, 1996

Mahbubul is an Associate Professor of Statistics with an interest in the emerging field of data science. He received his Ph.D. in Statistics from Iowa State University in 2013 and his M.A. in Statistics from Ball State University. Mahbubul started his academic career at the University of Nebraska at Omaha in 2013 as an Assistant Professor of Data Science. He teaches data science courses at UNO where he also developed the data science program.

His research interests include techniques of effective data visualization, statistical inference using graphics, exploratory data analysis, and statistical and machine learning tools/models to convert data into data products. His publication on visual statistical inference appears on the Journal of American Statistical Association as a featured article.

Mahbubul has about 20 years of experience in working with real data and data related technologies. He worked for various companies such as Travelers Insurance, Hy-Vee, and Novartis Pharmaceutical Company. He supervised at least 16 students on data analysis and visualization projects with local industries such as Union Pacific Railroad, TD Ameritrade, Methodist Health System, Omaha Public Power District, First National Bank, Claas of America, etc. Mahbubul helps local industries develop in-house data science teams and provides essential training in the field. He recently organized workshops for the First National Bank and U.S. Strategic Command. He is currently working to develop an intensive training program for Kiewit Corporation. He also has worked on multiple projects funded by the Nebraska Applied Research Institute.

Williams T., Cheng X., Majumder M. , Hastings M., Suh H., Dash K., and Yeo J., Collaborative Big Data Review for Educational Impact, School Community Journal, 30(2), 93-104 (2020).

Maher C., Majumder M., Liao W., and Liao Y., Spatial Analysis of Local Government Fiscal Condition in Nebraska, Socialiniai tyrimai / Social Research, 42(1), 19-31 (2019).

Yousof H., Majumder M., Jahanshahi S., Masoom Ali M., and Hamedani G., A New Weibull Class of Distributions: Theory, Characterizations and Applications, Journal of Statistical Research of Iran, 15(1), 45-82 (2018).

Chowdhury N., Cook D., Hofmann H., and Majumder M. , Measuring Lineup Difficulty by Matching Distance Metrics with Subject Choices in Crowd-Sourced Data, Journal of Computational and Graphical Statistics , 27(1), 132-145 (2017).

Majumder M., and Cheng X., Focusing on the Needs: Experiences of Developing a Data Science Program, Journal of Computational and Graphical Statistics, 26(4), 779-780 (2017).

Luna F., Cheng X., and Majumder M. , Interactive Visualization of Latino Political Participation in Nebraska and USA, JSM Proceedings, 3698-3709 (2016).

Puniya B., Allen L., Hochfelder C., Majumder M. , Helikar T., Systems Perturbation Analysis of a Large-Scale Signal Transduction Model Reveals Potentially Influential Candidates for Cancer Therapeutics, Frontiers in Bioengineering and Biotechnology , 4(10), 18pp. (2016).

Cook D., Lee E., and Majumder M. , Data Visualization and Statistical Graphics in Big Data Analysis, Annual Review of Statistics and Its Application, 3(1), 133-59 (2016).

Pandey P., Pasternack G., Majumder M. , Soupir M., and Kaiser M., A Neighborhood Statistics Model for Predicting Stream Pathogen Indicator Levels, Environmental Monitoring and Assessment , 187(124), 12pp. (2015).

Chowdhury N., Cook D., Hofmann H., Majumder M. , Lee E., and Toth A., Using Visual Statistical Inference to Better Understand Random Class Separations in High Dimension, Low Sample Size Data, Computational Statistics , 30(1), 293-316 (2015).

Atwood S., O’Rourke J., Peier G., Yin T., Majumder M. , Zhang C., Cianzio S., Hill J., Cook D., Whitham S., Shoemaker R., and Graham M., Replication Protein A Subunit 3 and the Iron Efficiency Response in Soybean, Plant Cell and Environment , 37(1), 213-234 (2014).

Majumder M., Hofmann H., and Cook D., Validation of Visual Statistical Inference, Applied to Linear Models,  Journal of The American Statistical Association, 108(503), 942-956 (2013).

Yin T., Majumder M., Chowdhury N., Cook D., Shoemaker R., and Graham M., Visual Mining Methods for RNA-Seq Data: Data Structure, Dispersion Estimation and Significance Testing,  Journal of Data Mining in Genomics & Proteomics, 4(4), 9pp. (2013).

Zhao Y., Cook D., Hofmann H., Majumder M. , and Chowdhury N., Mind Reading: Using an Eye-Tracker to See How People are Looking at Lineups, International Journal of Intelligent Technologies and Applied Statistics , 6(4), 393-413 (2013).

Hofmann H., Follet L., Majumder M. , and Cook D., Graphical Tests for Power Comparison of Competing Designs, IEEE Transactions on Visualization and Computer Graphics , 18(12), 2441-2448 (2012).

Chowdhury N., Cook D., Hofmann H., and Majumder M. , Visual Statistical Inference for Large p, Small n Data, JSM Proceedings, 4436-4446 (2011).

Majumder M., and Masoom Ali M., A Comparison of Methods of Estimation of Parameters of Tukey’s gh Family of Distributions, Pakistan Journal of Statistics, 24(2), 135-144 (2008).

Jay B., Heinz A., and Majumder M. , An Algorithm for Graceful Labeling of Cycle, Congressus Numerantium, 186, 57-63 (2007).

Jay B., Heinz A., Majumder M. , Properties of Graceful Labeling of Cycle, Congressus Numerantium, 188, 109-115 (2007).

Majumder M., Haque A., and Kaykobad M., Graceful Labelling of Complete Binary Trees, Proceedings of International Conference on Computer and Information Technology, 32-35 (2000).

Graduate Student

Collaborator: United Way of the Midlands

Graduate Student

Collaborator: Physicians Mutual Insurance

Graduate Student

Collaborator: Claas of America
Year: 2019

Graduate Student

Collaborator: Milliman, Inc.
Year: 2019

Graduate Student

Collaborator: Methodist Health System
Year: 2018

Graduate Student

Project: Assessing Fiscal Condition for Municipalities in Nebraska
Collaborator: University of Nebraska at Omaha – College of Public Affairs and Community Service
Year: 2018

Graduate Student

Project: Interactive Data Visualization of Selected Economic Characteristics of Nebraska
Collaborator: University of Nebraska at Omaha – College of Public Affairs and Community Service
Year: 2017

Graduate Student

Collaborator: First National Bank
Year: 2017

Graduate Student

Collaborator: TD Ameritrade
Year: 2017

Graduate Student

Project: Analysis of Socio Economic Status of Children under the Age of Six in the State of Nebraska
Collaborator: University of Nebraska at Omaha – College of Public Affairs and Community Service
Year: 2017

Graduate Student

Collaborator: Haygood Family Enterprises
Year: 2016

Graduate Student

Collaborator: Haygood Family Enterprises
Year: 2016

Graduate Student

Collaborator: TD Ameritrade
Year: 2016

Graduate Student

Collaborator: Omaha Public Power District
Year: 2016

Graduate Student

Collaborator: Omaha Public Power District
Year: 2015

Graduate Student

Collaborator: Union Pacific Railroad
Year: 2015