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Author

Tymoteusz Miller

University of Szczecin

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Open access Sep 2026

AI-Driven Maritime Traffic Risk Assessment for Smart Seaports: Multi-Vessel Conflict Reasoning and Runtime Safety Assurance

Smart seaports increasingly rely on AIS-based decision support, yet pairwise collision indicators and learned predictors do not by themselves determine when automated alerts remain trustworthy under multi-vessel coupling and degraded evidence. This study presents an interpretable scene-level extension of PortGuard-AIS...

Tymoteusz Miller, Irmina Durlik · 0 citations
#federated learning Review Open access Oct 2026

Operating Envelopes of Synchronous and Asynchronous Federated Learning Under Communication Impairments in Smart-Grid Sensor Networks

Federated learning (FL) for distributed smart-grid monitoring is shaped jointly by statistical heterogeneity and communication timing. This study evaluates protocol operating envelopes rather than proposing a new aggregator. A frozen confirmatory campaign compares deadline-constrained FedAvg, FedAsync, FedBuff, and Fed...

Tymoteusz Miller, Irmina Durlik · 0 citations
Open access Sep 2026

Hierarchical Temporal Runtime Assurance for Controlled Agentic AI Systems: Safety Shielding, Auditable Action Repair, and Bounded Recovery

This study introduces MARIS-TRA, a hierarchical temporal runtime assurance extension of Controlled Agentic AI Systems that provides quantitative robustness for speed, arena, pairwise separation, restricted-zone, and bounded-recovery requirements.

Tymoteusz Miller · 0 citations
Open access Jul 2026

Can Federated Learning Go Green? EcoFL: A System-Level Energy-Aware Benchmark for IoT Edge Intelligence

EcoFL (Energy-Conscious Federated Learning), a modular, energy-aware benchmarking and orchestration framework for systematic evaluation of lightweight machine learning models under emulated edge hardware constraints, is presented.

Tymoteusz Miller, Irmina Durlik · 0 citations

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