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West Virginia University School of Mathematical and Data Sciences
Eberly College of Arts and Sciences
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Research Areas

WVU continues to be rated as an R1, or very high research activity, institution, the most elite category for research-focused schools, alongside such institutions as Harvard, Yale, Columbia and Johns Hopkins. Only 130 of the nation’s 4,500 colleges and universities attain this ranking.

Research Areas Listing

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Algebra

Algebra, an immense area of mathematics, is the study of mathematical symbols and the rules for regulating these symbols.

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Applied Analysis

Research by members of this group involves the use of mathematical analysis to solve real-world problems.

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Applied Mathematics

Our research aims to employ or adapt existing mathematical concepts to help solve problems emerging from various fields of study, and, increasingly, in everyday life.

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Combinatorics and Graph Theory

Both of these areas of research have applications in computer science, data science, biology, social network theory and neuroscience.

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Emerging Applications of Machine Learning

Novel applications of statistical machine learning, and artificial intelligence (AI), are emerging everywhere!

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Mathematical Foundations of Data Science

Research in mathematical foundations of Data Science focuses on adapting mathematical principles to develop novel techniques to extract insights from data.

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Mathematics Education

Research in mathematics education seeks to understand the nature of mathematical thinking, teaching and learning as well as how to improve mathematics instruction.

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Probability and Statistics

Many models in engineering and physical sciences can be explained and approximated using the probabilistic and statistical tools.

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Quantum Computing and Its Applications

Research in quantum computing holds significant potential for revolutionizing data science.

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Set Theory and Topology

Set theory provides fundamental theoretical structures for other areas of mathematics and general topology is a bridge joining set theory with applied mathematics.

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Time Series Analysis

Time series problems are currently of high interest and they occur in a wide variety of fields ranging from engineering, social sciences, healthcare, climate analysis and finance among others.

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RESEARCH SPOTLIGHT

Vito D'Orazio

Professor of data sciences researching to reveal patterns behind armed militarized disputes

While the histories of wars are well documented, data on militarized disputes that did not rise to the level of acts of war are often much scarcer. A $555,647 grant from the National Science Foundation supports the three-year expansion of the Correlates of War Project’s Militarized Interstate Dispute Data. This research is strengthening national security by ensuring policymakers, military institutions, think tanks, academics and journalists have access to substantial, up-to-date information on international conflicts when they need it.

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