Changhee Jung
Papers
3
Total Citations
10
H-Index
2
About
Changhee Jung is a researcher at the forefront of real-time and embedded systems, with a particular focus on the safety and performance of autonomous robots. His work addresses a critical challenge: ensuring that computational tasks in robots are not only timely but also safe, especially when operating in unpredictable environments. Jung’s major contribution is the introduction of a novel safety-performance (SP) metric, which provides a formal framework for analyzing the trade-offs between computational safety and task performance. This metric, detailed in his 2023 letter, represents a foundational step toward what he terms “computational awareness”—the ability of a robot to dynamically assess and manage its own computational health. His research extends to stochastic conditional DAG models for partitioned scheduling, further refining the balance between safety and performance. While his most-cited papers have garnered modest citation counts (4 each), their conceptual novelty is significant, laying the groundwork for a new class of safety-critical autonomous systems. Jung’s work is particularly relevant for students and researchers interested in the intersection of real-time scheduling, robotics, and dependable computing.
Research Focus
Key Achievements
Top Papers
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