
Dr. Richard Martin (Justin)
Coca-Cola Faculty Fellow; Assistant Teaching Professor
EMAIL: martinr@wfu.edu
PHONE: (336) 758-4535
OFFICE: Farrell 374

Biography
Dr. Martin completed his PhD in Computing and Information Systems in 2019 and joined The Business School at Wake Forest University in 2020 after serving as a Senior Lecturer of Business Information Systems & Operations Management in the Belk College of Business at The University of North Carolina Charlotte.
Prior to his career in academia, Dr. Martin worked as a software developer and business technology analyst with Bank of America. His industry experience spans a wide variety of areas, including software and web development, information technology management, healthcare informatics, and logistics technology.
Dr. Martin teaches courses in information systems management, application development, operations management, and analytics. In 2018, he was awarded the "Excellence in Undergraduate Teaching Award" for the 2017-2018 academic year by the Belk College of Business at UNC Charlotte.
His research interests are of an interdisciplinary nature and currently focus on the application of machine learning methods for developing advanced forecasting/prediction models within the Emergency Medical Services industry.
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.
Prior to his career in academia, Dr. Martin worked as a software developer and business technology analyst with Bank of America. His industry experience spans a wide variety of areas, including software and web development, information technology management, healthcare informatics, and logistics technology.
Dr. Martin teaches courses in information systems management, application development, operations management, and analytics. In 2018, he was awarded the "Excellence in Undergraduate Teaching Award" for the 2017-2018 academic year by the Belk College of Business at UNC Charlotte.
His research interests are of an interdisciplinary nature and currently focus on the application of machine learning methods for developing advanced forecasting/prediction models within the Emergency Medical Services industry.
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
- 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
Application (Software) Development
Emergency Medical Services Operations
Predictive Analytics & Forecasting
Machine Learning
Application (Software) Development
Emergency Medical Services Operations
Predictive Analytics & Forecasting
Machine Learning
Research Interests
- Emergency Medical Services Operations
Predictive Analytics & Forecasting
Machine Learning
Teaching Interests
- Information Technology/Systems Management
Decision Modeling & Analysis
Data Science & Analytics
Machine Learning
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.