Theo Ungerer

Papers

Total Citations

H-Index

About

Theo Ungerer is a pioneering researcher in organic computing and autonomic systems, focusing on self-organising, adaptive, and trusted computing architectures. His major contributions lie in integrating automated planning into organic computing systems to enable reliable, self-managing behaviour without human intervention. His seminal 2008 paper, "Using Automated Planning for Trusted Self-organising Organic Computing Systems" (17 citations), introduced a framework that combines AI planning with organic principles to ensure trustworthiness in dynamic environments—a foundational concept for resilient distributed systems. Ungerer also played a key role in advancing the field through community leadership, notably co-chairing the 2011 Workshop on Organic Computing (OC’11) at the International Conference on Autonomic Computing (ICAC 2011). This workshop helped shape the vision for future information processing systems that are increasingly autonomous and adaptive. While his citation counts reflect a niche but impactful area, his work has influenced subsequent research in self-* systems, embedded intelligence, and dependable computing. For students and researchers, Ungerer’s contributions highlight how organic computing can bridge AI planning and system trust, offering a roadmap for building robust, self-organising technologies in an era of growing system complexity.