Ryan Award-Celebration of Education - Carnegie Mellon University

The William H. and Frances S. Ryan Award for Meritorious Teaching

2016 Ryan Award Recipient

bagnellJ. Andrew Bagnell

Associate Professor, Robotics Institute and Department of Modern Languages

J.A. (Drew) Bagnell is an associate professor at Carnegie Mellon University's Robotics Institute, National Robotics Engineering Center and Machine Learning Department. His interests in artificial intelligence range from algorithmic and basic theoretical development to delivering fielded learning-based systems. Bagnell directs the Learning, AI and Robotics Laboratory (LAIRLab) within the Robotics Institute. He also served as the director of the Robotics Institute Summer Scholars program from 2006 to 2015, a summer research experience in robotics for undergraduates throughout the world. Bagnell and his group have received research awards in both the robotics and machine learning communities including at the International Conference on Machine Learning, Robotics Science and Systems, Uncertainty in Artificial Intelligence, the European Conference on Computer Vision, the International Conference on Robotics and Automation, and the Okawa Foundation Research Grant. His current projects focus on machine learning for dexterous manipulation, decision making under uncertainty, ground and aerial vehicle control, robot perception and computer vision. Prior to joining the faculty, Bagnell received his doctorate as an NSF Graduate Fellow at Carnegie Mellon in 2004 and completed undergraduate studies with highest honors in electrical engineering at the University of Florida.

The William H. and Frances S. Ryan Award for Meritorious Teaching is given annually to a full-time faculty member at Carnegie Mellon who has demonstrated unusual devotion and effectiveness in teaching undergraduate or graduate students.

The award is intended to recognize excellence in teaching in several dimensions:

  • outstanding classroom teaching
  • creation of challenging and innovative courses
  • creation or use of new and innovative teaching methods and course materials
  • effective supervision of research or creative projects
  • effective supervision of undergraduate honors students and graduate students