Michael Austin Langford

According to our database, Michael Austin Langford authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MoDALAS: addressing assurance for learning-enabled autonomous systems in the face of uncertainty.

Michael Austin Langford, Kenneth H. Chan, Jonathon Emil Fleck, Philip K. McKinley, Betty H. C. Cheng

Softw. Syst. Model., October, 2023

2022

A Modular and Composable Approach to Develop Trusted Artificial Intelligence.

Michael Austin Langford, Betty H. C. Cheng

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2022

2021

Enki: A Diversity-driven Approach to Test and Train Robust Learning-enabled Systems.

Michael Austin Langford, Betty H. C. Cheng

ACM Trans. Auton. Adapt. Syst., 2021

"Know What You Know": Predicting Behavior for Learning-Enabled Systems When Facing Uncertainty.

Michael Austin Langford, Betty H. C. Cheng

Proceedings of the 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2021

MoDALAS: Model-Driven Assurance for Learning-Enabled Autonomous Systems.

Michael Austin Langford, Kenneth H. Chan, Jonathon Emil Fleck, Philip K. McKinley, Betty H. C. Cheng

Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems, 2021

2020

AC-ROS: assurance case driven adaptation for the robot operating system.

Betty H. C. Cheng, Robert Jared Clark, Jonathon Emil Fleck, Michael Austin Langford, Philip K. McKinley

Proceedings of the MoDELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, 2020

2019

Applying evolution and novelty search to enhance the resilience of autonomous systems.

Michael Austin Langford, Glen A. Simon, Philip K. McKinley, Betty H. C. Cheng

Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019

Enhancing Learning-Enabled Software Systems to Address Environmental Uncertainty.

Michael Austin Langford, Betty H. C. Cheng

Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019