PROGRAM
Days: Wednesday, September 24th Thursday, September 25th
Wednesday, September 24th
View this program: with abstractssession overviewtalk overview
09:00-10:00 Session 2: Keynote: Prof. Rajiv Ranjan, University of Newcastle
09:00 | Scaling Law Challenges for Digital Twins (abstract) |
10:30-12:30 Session 4: System Safety Assessment
10:30 | Failure and defect detection of safety critical 3D printed goods (abstract) |
10:55 | Model-Based Safety Assessment for Flight Control Systems: Methodology and Case Study (abstract) |
11:20 | Multi-approach based Safety Analysis of a Wastewater Treatment System (abstract) |
11:45 | Application of a MBSA approach on a representative subsystem of EGNOS (European Geostationary Navigation Overlay Service) (abstract) |
12:10 | Safety Analysis Methods in Aerospace: A Case-Based Comparison of FTA and MBSA (abstract) |
13:45-15:00 Session 5: Cybersecurity Analysis
13:45 | MBCA: A Model-Based Approach for Cybersecurity Analysis of Cyber-Physical Systems (abstract) |
14:10 | Cybersecurity Threat Detection through Business Process Log Analysis (abstract) |
14:35 | Interpretable and Trustworthy Attack Diagnosis for UAVs Using SafeML (abstract) |
15:30-17:30 Session 6: Safe Machine Learning
15:30 | Incorporating failure of Machine Learning in probabilistic safety assessment and runtime safety assurance (abstract) |
15:55 | Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML (abstract) |
16:20 | CODIF: Counterfactual data-augmentations for estimating perception influencing factors (abstract) |
16:45 | The Information Meta Model for Machine Learning IM3L: A Structured Approach to ML Integration in Engineering Systems (abstract) |
17:10 | RAGuard: A Novel Approach for in-context Safe Retrieval Augmented Generation for LLMs (abstract) |
Thursday, September 25th
View this program: with abstractssession overviewtalk overview
09:00-10:00 Session 7: Probabilistic Analysis
09:00 | Variance-based Sensitivity Analysis for Probabilistic Risk Assessment (abstract) |
09:25 | Causal Bayesian Networks for Data-driven Safety Analysis of Complex Systems (abstract) |
10:30-12:30 Session 9: Model-based Design and Safety Assessment
10:30 | From Natural Language Requirement Specifications to Logic Properties (abstract) |
10:55 | Model-based Dependent Failure Analysis (abstract) |
11:20 | Comparative Analysis of Non-Colored and Colored Petri Net Models for Availability Assessment of Safety-Critical Cloud Software in Railways (abstract) |
11:45 | MBSA model exchange and its challenges (abstract) |
12:10 | ACEditor: a Tool for Synthesizing Assurance Cases from Fault Trees (abstract) |
13:45-15:00 Session 10: Machine Learning and Automata Learning for System Safety
13:45 | AI4Green, A Framework for AI-based Resource Optimizations for Reliable Applications (abstract) |
14:10 | Analyzing Truck Platoons with Automata Learning and Model Checking (abstract) |
14:35 | Q-SafeML, A Quantum-Statistical Approach to Safety Monitoring in Quantum Machine Learning (abstract) |
15:30-17:30 Session 11: Failure Detection Isolation and Recovery Analysis
15:30 | Towards a Unifying View of Fault Propagation Analyses and Notations (abstract) |
15:55 | An Altarica-based modelling and analysis approach enabling UAV regulation compliance (abstract) |
16:20 | Timed Models in AltaRica 3.0 (abstract) |
16:45 | Experience in developing an algorithm at the MBSA level to minimize the complexity of fault trees during automatic generation from design data (abstract) |
17:10 | From Abstract to Action: Tailored Environment Taxonomies for More Complete ADS Safety Analyses (abstract) |