Aktuelle Publikationen

This paper covers some AI/ML-related topics for 6G within’ the context of 6G-ANNA project. It brings together partners from industry and academia, highlighting the role of AI/ML in 6G from both standardization and aca! demia point of view. It...

A 3D-printed, wideband, dual-polarized magneto-electric dipole (MED) antenna achieving over 50 dB cross-polarization isolation across 3.05–4.13 GHz is designed. The design enables cost-effective fabrication, stable radiation performance, and...

This paper presents the advances and challenges in the design, integration, and performance evaluation of an SDM-PON system based on newly developed 7-core weakly coupled MCF. It highlights the system architecture, including MCF design,...

In this paper, we present R3GW, a novel method that learns a relightable 3DGS representation of an outdoor scene captured in the wild. Our approach separates the scene into a relightable foreground and a non-reflective background (the sky), using...

We propose a physics-constrained tracking framework that unifies detection, appearance, and 3D motion reasoning in a real-time pipeline. Our approach integrates a transfer-learned YOLOv11m detector with EfficientNet-B0 appearance encoding within...

Hardly any technology has spread as publicly as additive manufacturing. 3D printers are now found both in the home and in industrial production. Numerous examples illustrate the development of 3D printing techniques for chemical laboratories....

In deutschen Krankenhäusern werden zunehmend KI-Systeme entwickelt und eingeführt, auch aufgrund steigenden Kosten- und Veränderungsdrucks. Für Beschäftigte ist diese Transformation häufig mit zusätzlichem Arbeitsaufwand und Stress verbunden, da...

The last years have seen an acceleration in the development and uptake of artificial intelligence (AI) systems by “early adopter” hospitals, caught between the pressures to “perform” and “transform” in a struggling health care system. This...

The “black box” characteristic of AI models has received widespread attention from scientists. Explainable artificial intelligence (XAI) methods and uncertainty estimation of AI models are two ways to open the “black box”. However, little...

„A room-temperature 3D-stacked flash LiDAR sensor is presented for the short-wave infrared (SWIR). The 96×96 InGaAs-InP SPAD array in the top tier is biased by a circuit at the bottom tier. Intensity images and depth maps are shown both indoors...

We present the first fully packaged 16×16 Benes optical switch based on 3D photonic integration in HHI’s PolyBoard platform and demonstrate its evaluation at system-level in a 25 Gb/s full-duplex optical link. Stable throughput was maintained...

We introduce a novel ISAC beamforming method enabling joint MIMO radar sensing and multi-user MIMO communication. By leveraging a matrix nearness formulation and an efficient solver, our approach drastically reduces computation, avoiding costly...

The XR4Human Code of Conduct sets forth the ethical obligations for everyone involved in technological innovation and governance of immersive or extended reality (XR) technologies.

The degenerate modes of a few-mode fiber retain entanglement and allow for distribution over 50-km of single-mode fibers, paving the way for future research towards multi-port bidirectional beam splitters with a consistent coupling ratio across...

In this work, we investigate the effectiveness of LPM in detecting physical-layer attacks. A detailed simulative analysis is conducted for fiber tapping, addressing aspects such as monitoring implementation, security vulnerabilities, and...

We present a qubit-based clock drift correction method with low computational requirements, that demonstrates a performance equal to a clock drift correction via a dedicated clock channel. Our method enables stable long-term operation as well as...

Live rerouting of quantum key distribution links poses new synchronization challenges. We demonstrate the seamless handling of multi-minute channel interruptions and fiber length changes exceeding 100 km during live system operation and over...

A catalytic plate reactor derived from the design of conventional plate heat exchangers was used for the continuous and dynamic dehydrogenation of perhydro benzyltoluene, a LOHC. The surface of heat exchanger plates has been catalytically...

The predictive capabilities of Deep Neural Networks (DNNs) are well-established, yet the underlying mechanisms driving these predictions often remain opaque. The advent of Explainable Artificial Intelligence (XAI) has introduced novel...

This work presents the first study of a machine learning-based quality-of-transmission (QoT) estimator using synthetic and experimental datasets from four different organizations, including live network data. It investigates the feasibility of a...