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David Riel

David Riel


Distinguished Service Professor

David Riel joined Carnegie Mellon in 2006. In 2018 David was appointed as a distinguished service professor at the Heinz College of Information Systems and Public Policy, teaching courses in Digital Transformation, Managing Digital Business, Lean Innovation Lab, and Information Systems Capstone Synthesis.

David has also held teaching appointments with the Information Systems department at the Heinz College, and the Institute of Software Research as an instructor for the eBusiness Technology Master’s Program under the School of Computer Science at Carnegie Mellon University.

David’s research interests include technology application to education (Web 2.0, LMS, synchronous platforms, automation, AI/ML, etc.), active learning methodologies (learning by doing, blended learning, flipped classrooms, team-based learning, etc.), and analysis of synchronous and asynchronous education through online mechanisms. David’s research also focuses on digital disruption (primarily in the digital business and academic aspects of education), through emergent technologies such as the Internet of Things (IoT), ePayment, Intelligent Automation (IA), Blockchain, and Quantum Computing.

Before joining the Carnegie Mellon faculty in 2015, David worked in many different facets of Information Technology including Software Engineering and Design, Network Administration and Engineering, Database Management, and IT Security across numerous industry sectors including fashion, architecture, healthcare, consulting, and education.

Courses Taught


  • 94-891 - Lean Innovation Lab
  • 95-722 - Digital Transformation
  • 95-734 - Managing Digital Business

Publications & Honors


Riel, J. David (2023). Foreword for "Intelligent Automation - Bridging the Gap between Business and Academia" by Myers, M., Brace, C. & Carden, L. Chapman and Hall/CRC [doi 10.1201/9781003276128]

Riel, J. David (2021). Examining changes in learning and engagement of higher education students in a fully online flipped learning distance education classroom. Graduate Theses, Dissertations, and Problem Reports. 8140. [https://researchrepository.wvu.edu/etd/8140/]

Greenbaum, H., Meyer, L., Smith, M C., Barber, A., Henderson, H., Riel, D., & Robinson, D.H. (2016). Individual and institutional productivity in educational psychology journals from 2009 to 2014. Educational Psychology Review. [doi 10.1007/s10648-016-9360-8]

Additional Information