Skip to main content
Profile image for Dr. Richard Martin (Justin)

Dr. Richard Martin (Justin)

AT&T Faculty Fellow; Associate Dean for Master of Business Administration (MBA) and Working Professional Programs; Associate Teaching Professor

OFFICE: Farrell 374
Profile image for Dr. Richard Martin (Justin)

Biography

Dr. R. Justin Martin serves as the Associate Dean of the Master of Business Administration and Working Professional Programs in the School of Business at Wake Forest University. He is also an Associate Teaching Professor of Information Systems & Analytics, as well as the AT&T Faculty Fellow, teaching courses across the MBA, MSBA, and undergraduate business programs.

Assuming the role of Associate Dean in July 2026, he brings a wealth of teaching experience and technology industry practice to program leadership - a valuable perspective as artificial intelligence rapidly transforms the landscape of business and higher education.

Dr. Martin earned his Ph.D. in Computing and Information Systems in 2019, with a research focus on artificial intelligence model development. He joined Wake Forest University in 2020, having previously served as a Senior Lecturer of Business Information Systems & Operations Management in the Belk College of Business at The University of North Carolina at Charlotte.

Prior to his career in academia, Dr. Martin worked as a business technology analyst, later a software developer, at Bank of America. His industry experience spans a wide variety of areas, including software development, information technology management, healthcare informatics, and logistics technology.

Dr. Martin remains an active industry practitioner. As a technology consultant, he develops custom business technology solutions while advising small/mid-sized firms on AI and technology adoption strategies - work that keeps him closely connected to the realities working professionals navigate every day.

Outside of the University, Dr. Martin is a professional bass guitarist who routinely performs with regional and national acts. He also enjoys snow skiing, snowmobiling trips, adventure motorcycling, and working in the garage.

Honors

  • 2026 - AT&T Faculty Fellow, Wake Forest School of Business
  • 2025 - Winston-Salem Evening MBA Teaching Award, Wake Forest School of Business
  • 2021 - Coca-Cola Faculty Fellow, Wake Forest School of Business
  • 2018 - Excellence in Undergraduate Teaching Award, Belk College of Business, UNC Charlotte
  • 2011 - Outstanding Graduate Student Award, The William States Lee College of Engineering, UNC Charlotte
  • 2009 - CSCMP Student Assistant Scholarship Recipient, Counsel of Supply Chain Management Professionals, UNC Charlotte
  • 2009 - Phi Kappa Phi Collegiate Honor Society, The University of North Carolina at Charlotte
  • 2008 - Beta Gamma Sigma International Business Honor Society, The University of North Carolina at Charlotte
  • 2006 - National Society of Collegiate Scholars Collegiate Honor Society, The University of North Carolina at Charlotte

Expertise

Information Technology/Systems Management
Machine Learning & Artificial Intelligence
Application (Software) Development
Emergency Medical Services Operations
Predictive Analytics & Forecasting

In The Media

  • March 19, 2026 - Why an AI-Augmented Workforce Will Still Need You , Fast Company| more information
  • January 1, 2025 - Syndicated Content Contributor , Infobase / Films Media Group | more information

Research Interests

  • Emergency Medical Services Operations
    Predictive Analytics & Forecasting
    Machine Learning Model Development

Teaching Interests

  • Information Technology/Systems Management
    Machine Learning & Artificial Intelligence
    Data/Decision Science & Analytics
    Application (Software) Development
    Operations & Supply Chain Management

Education

  • Ph D, The University of North Carolina at Charlotte (Computing and Information Systems) - 2019
  • MS, University of North Carolina at Charlote (Systems & Engineering Management) - 2011
  • BS, The University of North Carolina at Charlotte (Management Information Systems; Operations Management) - 2009

Publications

Operations Research for Health Care

Predicting Emergency Medical Service Call Demand: A Modern Spatiotemporal Machine Learning Approach
Martin, R. ,  Mousavi, R. , &  Saydam, C.

Operations Research for Health Care

Predicting Emergency Medical Service Call Demand: A Modern Spatiotemporal Machine Learning Approach
Martin, R. ,  Mousavi, R. , &  Saydam, C.