Manuel Rossetti
Director
Bell Engineering 4164
479-575-6756
Email: rossetti@uark.edu

Karl D. Schubert
Associate Director
Champions Hall 332D
479-575-2264
Email: karl.schubert@uark.edu

Lee Shoultz
Project/Program Specialist
Champions Hall 332E
479-575-5469
Email: eshoultz@uark.edu

Data scientists make sense of huge sets of data to help businesses, governments, nonprofits and other organizations make smarter decisions. The university's interdisciplinary Bachelor of Science in Data Science will prepare students for a successful career in data science with a strategic skill set, including the ability to:

• Use and apply state-of-the-art technologies for data representation, retrieval, manipulation, storage, governance, understanding, analysis, privacy, and security.
• Develop descriptive, predictive and prescriptive models to abstract complex systems and organizational problems, and to use computational methods to draw data-supported conclusions.
• Use foundational knowledge and apply critical thinking skills to identify and solve problems, make decisions, and visualize data, all with an awareness of societal and ethical impacts.
• Adapt analytics concepts to interpret and communicate findings and implications to senior decision-makers.
• Work effectively in an interdisciplinary team and transfer findings between knowledge domains and to others with no domain experience.
• Communicate using technical and non-technical language in writing and verbally.

Three colleges at the university — the College of Engineering, the Fulbright College of Arts and Sciences, and the Sam M. Walton College of Business — contribute expertise to the overall major while providing deeper insight into the concentrations they offer, including:

• Accounting Analytics
• Bioinformatics
• Biomedical and Healthcare Informatics
• Business Data Analytics
• Computational Analytics
• Cybersecurity Analytics
• Data Science Statistics
• Geospatial Data Analytics
• Music Industry Data Analytics
• Operations Analytics
• Social Data Analytics
• Supply Chain Analytics

Requirements for B.S. in Data Science with Accounting Analytics Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Accounting Analytics Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Accounting Analytics Concentration Courses

Data Science B.S. with Accounting Analytics Concentration
Eight-Semester Program 

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

²

Students must complete the  State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Requirements for B.S. in Data Science with Bioinformatics Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Bioinformatics Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Bioinformatics Concentration Courses

Data Science B.S. with Bioinformatics Concentration
Eight-Semester Program 

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

²

Students must complete the  State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Requirements for B.S. in Data Science with Biomedical and Healthcare Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Biomedical and Healthcare Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Biomedical and Healthcare Informatics Concentration Courses

Students completing the Biomedical and Healthcare Informatics Concentration must select CHEM 1103 and PHYS 2054 for the State Minimum Core Science Electives.

Data Science B.S. with Biomedical and Healthcare Informatics Concentration Eight-Semester Program 

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

²

Students must complete the  State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Requirements for B.S. in Data Science with Business Data Analytics Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Business Data Analytics Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Business Data Analytics Concentration Courses 

Data Science B.S. with Business Data Analytics Concentration
Eight-Semester Program 

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

²

Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Requirements for B.S. in Data Science with Computational Analytics Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Computational Analytics Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Computational Analytics Concentration Courses

Data Science B.S. with Computational Analytics Concentration
Eight-Semester Program 

¹

MATH 2603 or MATH 2803 is a pre-req for CSCE 4133.

²

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

³

Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

⁴

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁵

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Requirements for B.S. with Cybersecurity Data Analytics Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Cybersecurity Data Analytics Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Cybersecurity Data Analytics Concentration Courses

Data Science B.S. with Cybersecurity Data Analytics Concentration Eight-Semester Plan

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1 by meeting the prerequisites for MATH 2554.

²

Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Requirements for B.S. in Data Science with Data Science Statistics Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Data Science Statistics Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Data Science Statistics Concentration Courses

Data Science B.S. with Data Science Statistics Concentration
Eight-Semester Program

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

²

Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Requirements for B.S. in Data Science with Geospatial Data Analytics Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Geospatial Data Analytics Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Geospatial Data Analytics Concentration Courses
 

Data Science B.S. with Geospatial Data Analytics Concentration
Eight-Semester Program 

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

²

Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Requirements for B.S. in Data Science with Music Industry Data Analytics Concentration

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Music Industry Data Analytics Concentration Courses

Data Science B.S. with Music Industry Data Analytics Concentration
Eight-Semester Plan

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

²

Students must complete the  State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections.

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.  

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Requirements for B.S. in Data Science with Operations Analytics Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Operations Analytics Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Operations Analytics Concentration Courses

Data Science B.S. with Operations Analytics Concentration
Eight-Semester Program 

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

²

Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Requirements for B.S. in Data Science with Social Data Analytics Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Social Data Analytics Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Social Data Analytics Concentration Courses

Data Science B.S. with Social Data Analytics Concentration
Eight-Semester Program 

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

²

Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

⁵

SOCI 2013 General Sociology is a required course for the Social Data Analytics Concentration.  The course may also be used to meet three hours toward the State Minimum Core Social Science requirements.  As such, students may complete three hours of general education electives in lieu of an additional State Minimum Core Social Science requirement for a total of 7 hours of general education electives. 

Requirements for B.S. in Data Science with Supply Chain Analytics Concentration

Below are the general requirements for a Bachelor of Science degree with a major in Data Science, followed by specific requirements for the Supply Chain Analytics Concentration. Below those is a recommended eight-semester plan to achieve those requirements in a timely fashion.

Requirements for B.S. in Data Science

Each student in Data Science is required to complete 120 hours of coursework including the state minimum core. To be eligible for graduation, all students must complete at least 60 hours of Data Science (DTSC) Core required classes at the University of Arkansas. Each student in Data Science is also required to complete an additional 20-21 hours (depending on the student's chosen concentration) of required and elective concentration courses to meet the requirements for a concentration.

Additional opportunities are available to enhance the educational experience of students in these areas.  Students should consult their academic adviser for recommendations.

Required Supply Chain Analytics Concentration Courses

Data Science B.S. with Supply Chain Analytics Concentration
Eight-Semester Program 

¹

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for MATH 2554.

²

Students must complete the State Minimum Core requirements as outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university's General Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections. 

³

Students are required to complete 40 hours of upper-division courses (3000-4000 level).  It is recommended that students consult with their adviser when making course selections.

⁴

Data Science Statistics and Computational Analytics Concentration students are advised to select STAT 3013/STAT 3003 to meet the prerequisites required in the concentration.

Faculty

Alverson, Andrew James, Ph.D. (University of Texas at Austin), M.S. (Iowa State University), B.S. (Grand Valley State University), Associate Professor, Department of Biological Sciences, 2012, 2018.
Barrett, David A., Ph.D., M.A. (University of Arkansas), B.A. (Hendrix College), Instructor, Department of Philosophy, 2014.
Cothren, Jackson David, Ph.D., M.S. (The Ohio State University), B.S. (United States Air Force Academy), Professor, Department of Geosciences, Leica Geosystems Chair in Geospatial Imaging, 2004, 2020.
Cronan, Timothy P., Ph.D. (Louisiana Tech University), M.S. (South Dakota State University), B.S. (University of Southwestern Louisiana), Professor, Department of Information Systems, M.D. Matthews Endowed Chair in Information Systems, 1979.
Cummings, Michael, Ph.D. (University of Minnesota), J.D. and M.P.A. (Brigham Young University), B.S. (Utah Valley), Assistant Professor, Department of Strategic, Entrepreneurship and Venture Innovation, 2017.
Fugate, Brian, Ph.D., M.B.A., B.S. (University of Tennessee), Professor, J.B. Hunt Transport Department of Supply Chain Management, Oren Harris Chair in Transportation, 2015, 2018.
Gauch, John Michael, Ph.D. (University of North Carolina at Chapel Hill), M.Sc., B.Sc. (Queen’s University, Canada), Professor, Department of Computer Science and Computer Engineering, 2008.
Gruenewald, Jeffrey A., Ph.D. (Michigan State University), Professor, Department of Sociology and Criminology, 2019, 2022.
Harris, Casey Taggart, Ph.D., M.A. (Pennsylvania State University), B.S. (Texas A&M University), Professor, Department of Sociology and Criminology, 2011, 2023.
Keiffer, Elizabeth, Ph.D., M.A. (University of Arkansas), B.S. (East Central University), Teaching Assistant Professor, Department of Information Systems, 2016, 2019.
Nakarmi, Ukash, Ph.D. (University at Buffalo), M.S. (Oklahoma State University), Assistant Professor, Department of Computer Science and Computer Engineering, 2020.
Pohl, Edward A., Ph.D., M.S.R.E. (University of Arizona), M.S.S.E. (Air Force Institute of Technology), M.S.E.M. (University of Dayton), B.S.E.E. (Boston University), Professor, Department of Industrial Engineering, Twenty-First Century Professorship in Engineering, 2004, 2013.
Rao, Raj R., Ph.D. (University of Georgia), M.S. (University of Texas), M.Sc., B.E. (Birla Institute of Technology and Sciences, India), Professor, Department of Biomedical Engineering, 2016.
Richardson, Vernon J., Ph.D. (University of Illinois-Urbana-Champaign), M.B.A., B.S. (Brigham Young University), Distinguished Professor, William Dillard Department of Accounting, G. William Glezen Jr. Endowed Chair in Accounting, 2005, 2016.
Ridge, Jason, Ph.D., M.A., B.A. (Oklahoma State University), Associate Professor, Department of Strategic, Entrepreneurship and Venture Innovation, 2015, 2017.
Robinson, Samantha, Ph.D., M.S., B.S. (University of Arkansas), Teaching Associate Professor, Department of Mathematical Sciences, Julia A. Hicks Chair, 2015, 2022.
Rosales, Claudia, Ph.D., M.S. (University of Cincinnati), B.S. (Universidad Rafael Landivar), Assistant Professor, J.B. Hunt Transport Department of Supply Chain Management, 2021.
Rossetti, Manuel D., Ph.D., P.E., M.S.I.E. (The Ohio State University), B.S.I.E. (University of Cincinnati), University Professor, Department of Industrial Engineering, 1999, 2022.
Schubert, Karl, Ph.D. (University of Arkansas), M.S.Ch.E. (University of Kentucky), B.S.Ch.E (University of Arkansas), Professor of Practice, Department of Industrial Engineering, 2016.
Sullivan, Kelly M., Ph.D. (University of Florida), M.S.I.E., B.S.I.E. (University of Arkansas), Associate Professor, Department of Industrial Engineering, 2012, 2019.
Wu, Xintao, Ph.D. (George Mason University), M.E. (Chinese Academy of Space Technology), B.S. (University of Science and Technology of China), Professor, Department of Computer Science and Computer Engineering, Charles D. Morgan/Acxiom Graduate Research Chair, 2014, 2019.