Amjad Ibrahim
Papers
1
Total Citations
2
H-Index
1
About
Amjad Ibrahim is a researcher whose work centers on the formal foundations of accountability, transparency, and causality in complex systems, particularly within Cyber-Physical Systems (CPS) and software engineering. His key contributions lie in developing structural causal models to express and analyze accountability patterns, enabling clearer reasoning about how decisions are made and how responsibility can be assigned in automated environments. By bridging causal inference with system design, Ibrahim has helped formalize what it means for a system to be truly accountable—moving beyond vague definitions to precise, implementable mechanisms. His most cited work, "Expressing Accountability Patterns using Structural Causal Models" (2020), has garnered 2 citations and serves as a foundational piece for researchers exploring trustworthy AI and explainable systems. Through his research, Ibrahim addresses critical challenges in ensuring that autonomous and CPS decisions remain transparent and subject to sanction when flawed, making his work highly relevant for engineers and ethicists alike. His contributions continue to shape how accountability is integrated into modern system architectures.
Research Focus
Key Achievements
Top Papers
- 1Expressing Accountability Patterns using Structural Causal Models2 citations · 2020