Dr. Matt Brown

ASSOCIATE PROFESSOR

BIOGRAPHY

Dr. Matt Brown has taught a variety data analytics/data science related courses at Arkansas Tech over a twelve-year period, including classes in database, data mining, artificial intelligence, statistics, Information Systems, using technologies such as SAS, R, Python, Excel, and SQL. Prior to Arkansas Tech, Dr. Brown has nine years’ experience working in industry in the field of data analytics for the Wal-Mart Home Office and Tyson Foods World Headquarters. Dr. Brown's research interests include applied data mining techniques, such as anomaly detection and classification, and education in statistics, analytics, and computing.

EDUCATION HISTORY

  • BA-University of Arkansas 
  • MS-University of Arkansas
  • PHD-Nova Southeastern University

PUBLISHED WORK

Myers, J.L., Brown, M., and Spittler-Brown, K. (2020) Ideas in Practice: A Modified Focus Model. Journal of Developmental Education, Volume 43 Issue 3.

Brown, M. (2020) Exploration of Factors Contributing to Academic Success in a Data Analytics Program. Journal of Computing Sciences in Colleges, Volume 35 Issue 9.

Patil, R., Brown, M., Ibrahim, M., Brown, K., Myers, J., Callaway, R. & Hamidi, R. (2019) “Digital Distraction Outside the Classroom: An Empirical Study” Journal of Computing Sciences in Colleges, Volume 34 Issue 7.

Patil, R., Brown, M., Ibrahim, M., Callaway, R. & Hamidi, R. (2018). “The Effects of the Use of Internet and Phone on Students’ Performance across Different Disciplines”. In Proceedings of E-Learn: World Conference on ELearning in Corporate, Government, Healthcare, and Higher Education (pp. 642-650). Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/185019/.

Brown, M. (2018) “Faculty workloads in computing departments” Journal of Computing Sciences in Colleges, Volume 33 Issue 5.

Brown, M. (2017) “Involving students in a human-computer interaction experiment” Journal of Computing Sciences in Colleges , Volume 32 Issue 5

Brown, M. (2016) “An empirical investigation of student arrivals, departures, and persistence in computing majors.” Journal of Computing Sciences in Colleges , Volume 31 Issue 5

STUDENT PAPERS ADVISED OVER THE LAST FIVE YEARS THAT WERE ACCEPTED TO BE PRESENTED AT CONFERENCES:

Angel Sperry and Matt Brown (faculty advisor). "Analyzing Associations Among Student Majors" Accepted for CCSC-MS: 2020 Conference April Lyon College (Conference was cancelled—invited back for 2021 conference)


Jessica Langley and Matt Brown (faculty advisor). “UFO Shapes Possibly Linked to Popular Movies and Series Viewed Through the Decades.” Accepted for CCSC-MS: 2020 Conference April Lyon College (Conference was cancelled—invited back for 2021 conference)


Jarad Qualls and Matt Brown (faculty advisor). “Predicting Natural Written Language Using an Artificial Neural Network and Support Vector Machine Against Small Data Sets” CCSC-MS: 2019 Conference April 12-13 UALR Little Rock, AR.


Richard Oliver and Matt Brown (faculty advisor). “Using a Novel Data Mining Technique Based on McNemar's Test to Mine Presidential Election Data Since 1900” CCSC-MS: 2019 Conference April 12-13 UALR Little Rock, AR.


Zhongyang Huang and Matt Brown (faculty advisor). “Cluster Analysis of Mid-Season 2018/2019 NBA Data.” CCSC-MS: 2019 Conference April 12-13 UALR Little Rock, AR.


Dayton Clark and Matt Brown (faculty advisor) “Association Analysis on Data Breaches” CCSC-MS: 2019 Conference April 12-13 UALR Little Rock, AR.


Yu-Ti Jou and Matt Brown (faculty advisor) “K-Means Applied to Arkansas Cities” CCSC-MS: 2019 Conference April 12-13 UALR Little Rock, AR.

 

Recently Taught Courses

  • BDA 3003 - DATA ANALYTICS APPS DEVELOP
  • BDA 3013 - BUSINESS SPREADSHEET MODELING
  • BDA 4033 - BDA INTERNSHIP
  • BDA 4073 - ST:ADVANCES IN AI/BUSINESS IMP
  • BDA 4073 - ST: ANALYTICS COMPETITION
  • BDA 6343 - ADVANCED ANALYTICS
  • MGMT 4013 - MANAGEMENT INFO SYSTEMS
  • MGMT 4073 - ST:ADVANCES IN AI/BUSINESS IMP