Selva Samuel
Papers
2
Total Citations
33
H-Index
2
About
Selva Samuel is a researcher at the forefront of self-adaptive and cyber-physical systems (CPS), focusing on how software can intelligently respond to its environment. His most influential work, "Model-Based Adaptation for Robotics Software" (2019, 25 citations), introduces a framework that uses runtime models of both the software and its physical surroundings to enable automated, long-lasting adaptation—a critical step toward resilient robotics. Samuel further deepens this line of inquiry in "Challenges in physical modeling for adaptation of cyber-physical systems" (2016, 8 citations), where he identifies a key gap: while runtime models typically manage only the cyber (software) layer, true CPS success demands integrating physical models to handle hardware and environmental dynamics. By highlighting this missing link, Samuel’s contributions push the field toward holistic, physically-aware adaptation, bridging theory and practice for systems that must operate reliably in the real world. His work is essential reading for anyone building autonomous, long-lived CPS.
Research Focus
Key Achievements
Top Papers
- 1Model-Based Adaptation for Robotics Software25 citations · 2019
- 2Challenges in physical modeling for adaptation of cyber-physical systems8 citations · 2016