About
Dr. Matthew Fendt is a Senior Lecturer in the Computer Science department at Baylor University, holding a Ph.D. from North Carolina State University (2014) and a B.S. from the University of Delaware (2009). His academic specialization spans Artificial Intelligence, Games Research, and Data Science.
- Education
- Ph.D., North Carolina State University (2014)
- BS, University of Delaware (2009)
Dr. Fendt's research focuses on creating learning games and interactive digital environments for education, with a particular emphasis on using data science to analyze player experiences. His work includes developing mobile health (mHealth) applications for diabetes and hypertension education in India and Hong Kong, as well as designing educational tools for Baylor's BRIC research facility.
Recent research trends highlight his interdisciplinary approach: 12 of his 15 most recent publications relate to mHealth innovations, disaster preparedness informatics, and AI-driven educational gaming. Key themes include cultural adaptation of health apps, cross-country public health assessment, and narrative planning techniques.
- Scientific Awards
- KEEN ICE Award (2016-2017)
- KEEN Innovators Scholar (2015-2016)
- Armstrong Browning Library Teaching Fellow (Summer 2015)
As an active mentor, Dr. Fendt recruits undergraduate researchers for collaborative projects with institutions like the United Nations and Baylor's BRIC facility. He has secured grants totaling $17,500, including a Family Health Center award (2019-2020) for psychopharmacology decision support tools and a Baylor URC grant for mHealth research in Hong Kong.
Dr. Fendt contributes to academic discourse through presentations at conferences like the IEEE Conference on Games and the American Medical Informatics Association, while maintaining a strong focus on practical application of technology for both education and public health improvement.
