Recent publications

January 2026

System-Level Demonstration of a 3D-Integrated Optical 16×16 Benes Switch

Georgios Megas, D. Felipe, Christos Kouloumentas, Norbert Keil, Hercules Avramopoulos, Panos Groumas, Christos Tsokos, Madeleine Weigel, Efstathios Andrianopoulos, Maria Massaouti, Zerihun Tegegne, Milan M. Milosevic, Eva Loukisa, Sabrine Mejri

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...


January 2026

ISAC Beamforming Design Based on a Matrix Formulation With Improved Efficiency

Berkan Kilic, Slawomir Stanczak, Kenan Turbic

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...


January 2026

XR4HUMAN Code of Conduct for the Human-Centered and Ethical Development of Immersive Technologies

Rosemarie Bernabe, Oliver Schreer, Rigmor Baraas, Michael Barngrover, Shereen Cox, Lene Aarvelta Hagen, Alina Kadlubsky, Panagiotis Kavouras, Ieva Krastina, Miltos Ladikas, Melissa Amoros Lark, Marco Correa Perez, Lucas Stephane

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.


January 2026

Utilizing Degeneracy in a Few-Mode Fiber to Demonstrate Entanglement Distribution

Tasbiha Rafiq, Ronald Freund, Nicolas Perlot, Nino Walenta, Carsten Schuck, Andy Schreier, Tomi Getselev, Sarah Sommermeier

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...


January 2026

Exploring the potential of longitudinal power monitoring for detecting physical-layer attacks

Matheus Ribeiro Sena, Ronald Freund, Johannes Fischer, Ralf-Peter Braun, Robert Emmerich, Mohammad Behnam Shariati, Marc Geitz, Abdelrahmane Moawad

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...


January 2026

Qubit-Based Clock Drift Correction for Resource-Efficient Quantum Key Distribution

Stephanie Renneke, Ronald Freund, Jonas Hilt, Peter Hanne, Jan Krause, Nino Walenta, Oliver Peters, Andy Schreier

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...


January 2026

Dynamic Rerouting of Quantum Key Distribution Links During Live Operation for Software-Defined Networks

Jan Krause, Ronald Freund, Jonas Hilt, Peter Hanne, Nino Walenta, Oliver Peters, Andy Schreier, Stephanie Renneke

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...


December 2025

Catalytically active plate heat exchanger for flexible hydrogen release from perhydro benzyltoluene

Phillip Nathrath, Eike Hübner, Peter Wasserscheid, P. Schüle

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...


December 2025

Software for dataset-wide XAI: From local explanations to global insights with Zennit, CoRelAy, and ViRelAy

Christopher J. Anders, Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, David Neumann

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...


December 2025

Leveraging Shared Data and Models for ML-Based QoT Estimation: Toward Standardized and Generalizable Models

Hassan Akbari, Ronald Freund, Johannes Fischer, Mohammad Behnam Shariati, Pooyan Safari, Angela Mitrovska, Stephan Pachnicke, Xiao Ma, Jasper Müller

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...


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