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N. Jazdi

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Conference Sep 2026

Plug-and-Play Sensor Evolution in Software-Defined Vehicles Through Asset Administration Shells

Software-defined vehicles (SDVs) promise continuous software evolution, but sensor integration in deployed vehicles still depends on manual configuration, hardware-specific drivers, and repeated application-side adaptation. Existing standards address only parts of this problem. AUTOSAR standardizes selected sensor inte...

Akshay Narla, N. Jazdi, M. Weyrich · 0 citations
Conference Sep 2026

Uncertainty-Aware Remaining Useful Life Prediction for Electromechanical Relays with Bayesian Lstm Networks

Predictive maintenance of electromechanical relays remains challenging: deterministic remaining-useful-life (RUL) estimates are unreliable for relays that fail spontaneously or under resistive loads, and give the operator no indication of when a prediction can be trusted. This paper addresses this gap with a Bayesian l...

Maurice Artelt, Matthias Weiss, N. Jazdi et al. · 1 citation
Conference Sep 2026

Which Parameter Matters Most? A Structured Literature Review and Unified Simulation Comparison of Design and Material Influences on PCBA Solder-Joint Lifetime

This paper presents a condition-controlled, simulation-based ranking of five key design and material parameters governing solder-joint fatigue life in printed circuit board assemblies (PCBAs) under thermal cycling: substrate material, substrate thickness, copper thickness, solder alloy, and solder thickness. All parame...

Maurice Artelt, Marianna Lintzeri, Matthias Weiss et al. · 1 citation
Preprint Aug 2026

LLM Agents Perform Controlled Experiments Using Simulation Models

Large language models (LLMs) have shown strong capabilities in reasoning, planning, and tool use, but many scientific and engineering tasks require more than plausible text and code generation. They require understanding how a system responds to intervention, which in practice depends on controlled experimentation. In...

Yu-Chen Xia, M. Weyrich, N. Jazdi et al. · 0 citations
Book Open access Oct 2026

Reliable Generation of Feature Models in the Universal Variability Language using Constrained LLMs

Modern software systems are increasingly variant-rich, and feature models capture this variability formally. The Universal Variability Language (UVL) has emerged as a community-driven standard for expressing such models, but creating and maintaining UVL artifacts remains a manual, expert-driven task. Large Language Mod...

Johannes Stümpfle, Fethiye Tunç, N. Jazdi et al. · 0 citations
#machine learning Preprint Sep 2026

QoS-Aware Federated Learning for Multimodal In-Cabin Interaction in Smart Vehicles

FedQoS is proposed, a novel asynchronous, event-triggered FL framework that decouples local computation from global communication via a two-phase gating mechanism that achieves competitive personalized accuracy with only marginal performance loss compared to FedAvg, while substantially reducing QoS violations.

Baran Can Gül, M. Nakıp, N. Jazdi et al. · 0 citations
Conference Open access Aug 2026

SecureDrive-FL: Joint Differential Privacy and Gradient-Aware Selective Homomorphic Encryption for Federated Driver Monitoring

This work introduces GASHE (Gradient-Aware Selective Homomorphic Encryption), a novel selective encryption strategy that dynamically identifies and encrypts only the gradient components exceeding a DP-calibrated sensitivity threshold, rather than encrypting all parameters uniformly as in static layer-based or full-para...

Baran Can Gül, Hanuma Siddhartha Tunuguntla, Anjana Arvind Naik et al. · 0 citations

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