24 citations · 55 across the 9 of their papers we have counts for
10 papers
CrossMaps: Confidence-Aware Open-Vocabulary Semantic Mapping for Rover Navigation
Jan-Niklas Klein, Sona Ghahremani, Christian Medeiros Adriano +1
Rovers rely on perception to maintain spatial maps that encode both objects and sensor quality (e.g., range reliability, lighting artifacts, data density), guiding data fusion, emb…
Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles
Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani +1
Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limitations can lead to reward hacki…
Causal Knowledge Transfer for Multi-Agent Reinforcement Learning in Dynamic Environments
Kathrin Korte, Christian Medeiros Adriano, Sona Ghahremani +1
[Context] Multi-agent reinforcement learning (MARL) has achieved notable success in environments where agents must learn coordinated behaviors. However, transferring knowledge acro…
Hybrid Planning with Receding Horizon: A Case for Meta-self-awareness
Sona Ghahremani, Holger Giese
The trade-off between the quality and timeliness of adaptation is a multi-faceted challenge in engineering self-adaptive systems. Obtaining adaptation plans that fulfill system obj…
A Scalable Querying Scheme for Memory-efficient Runtime Models with History
Lucas Sakizloglou, Sona Ghahremani, Matthias Barkowsky +1
Runtime models provide a snapshot of a system at runtime at a desired level of abstraction. Via a causal connection to the modeled system and by employing model-driven engineering…
Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning
Mirko D'Angelo, Sona Ghahremani, Simos Gerasimou +4
Engineering collective adaptive systems (CAS) with learning capabilities is a challenging task due to their multi-dimensional and complex design space. Data-driven approaches for C…
Improving Scalability and Reward of Utility-Driven Self-Healing for Large Dynamic Architectures
Sona Ghahremani, Holger Giese, Thomas Vogel
Self-adaptation can be realized in various ways. Rule-based approaches prescribe the adaptation to be executed if the system or environment satisfies certain conditions. They resul…
Towards Highly Scalable Runtime Models with History
Lucas Sakizloglou, Sona Ghahremani, Thomas Brand +2
Advanced systems such as IoT comprise many heterogeneous, interconnected, and autonomous entities operating in often highly dynamic environments. Due to their large scale and compl…
Towards Linking Adaptation Rules to the Utility Function for Dynamic Architectures
Sona Ghahremani, Holger Giese, Thomas Vogel
To benefit from utility-driven and rule-based approaches to self-adaptation, we propose combining both by defining and linking the utility function and the adaptation rules in a pa…
Efficient Utility-Driven Self-Healing Employing Adaptation Rules for Large Dynamic Architectures
Sona Ghahremani, Holger Giese, Thomas Vogel
Self-adaptation can be realized in various ways. Rule-based approaches prescribe the adaptation to be executed if the system or environment satisfy certain conditions and result in…