J. Sukarno Mertoguno
Papers
3
Total Citations
27
H-Index
3
About
J. Sukarno Mertoguno is a researcher whose work sits at the intersection of autonomous systems, cyber-physical systems (CPS), and resilient computing. His research addresses some of the most pressing challenges in designing intelligent, self-governing systems that must operate reliably under adversarial conditions and real-world constraints. Mertoguno's foundational contribution, "Human Decision Making Model for Autonomic Cyber Systems" (2014, 13 citations), introduced a framework for closing the observe-interpret-plan-act loop in real-time autonomous platforms, with applications spanning robotics, unmanned vehicles, and industrial automation. This work established a human-inspired cognitive architecture for machine autonomy that continues to influence the field. Building on this foundation, his more recent research tackles the critical challenge of safety and resilience in cyber-physical systems. His timing-based framework for resilient CPS design (2023, 10 citations) addresses how faults and cyberattacks can trigger life-threatening safety violations, offering structured design principles to counter these threats. His subsequent experimental work on the BFT++ mechanism (2024, 4 citations) translates these theoretical advances into practical, implementable cyber-attack resilience solutions for safety-critical domains including power systems and manufacturing. Mertoguno's cumulative contributions represent a coherent research vision: making autonomous and cyber-physical systems robustly intelligent and defensibly safe.
Research Focus
Key Achievements
Top Papers
- 1Human Decision Making Model for Autonomic Cyber Systems13 citations · 2014
- 2
- 3