Mariachiara Puviani

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About

Mariachiara Puviani is a leading researcher in the engineering of adaptive and autonomous systems, with a core focus on **self-adaptive software**, **collective adaptive systems (CAS)**, and **swarm robotics**. Her pioneering work introduces the concept of **self-expression**—the ability of a system to dynamically change its adaptation pattern at runtime in response to environmental or internal changes. This paradigm shift moves beyond static adaptation, enabling systems to autonomously select the most effective behavior to maintain performance and achieve global goals. Her most cited paper, "Formalising Adaptation Patterns for Autonomic Ensembles" (12 citations), provides a foundational framework for structuring these dynamic behaviors. In "Is Self-Expression Useful?" (7 citations), she empirically validates the performance benefits of this approach over fixed adaptation strategies. Further, in "Enabling Self-Expression: The Use of Roles" (5 citations), she demonstrates how role-based architectures can implement this capability in distributed systems. Her work has direct applications in intelligent distributed systems, as shown in her swarm robotics case study (3 citations). Puviani’s contributions are essential for researchers and engineers building the next generation of resilient, autonomous, and goal-driven software systems.