Recent publications

October 2025

Real-time Fusion of Stereo Vision and Hyperspectral Imaging for Objective Decision Support during Surgery

Eric Wisotzky, Peter Eisert, Anna Hilsmann, Brigitta Globke, Michael Knoke, Jost Triller

We present a real-time stereo hyperspectral imaging system that combines 3D reconstruction with spectral tissue analysis, enabling live visualization of oxygenation and tissue composition during surgery.


October 2025

Live Demonstration of Modulation Format Identification Using a Photonic Neural Network

Guillermo von Hünefeld, Colja Schubert, Ronald Freund, Pooyan Safari, Rijil Thomas, Enes Seker, Stephan Suckow, Max Lemme, David Stahl, Mahdi Kaveh, Mahtab Aghaeipour Kolyani, Joseph Hopfmüller, Johannes Karl Fischer

We demonstrate modulation format identification on a micro ROADM ring using a photonic neural network with low-speed photodiodes.


October 2025

Design and Validation of a Time Domain Correlation based Channel Sounder up to 500 GHz

Alper Schultze, Wilhelm Keusgen, Michael Peter, Ramez Askar, Mathis Schmieder, Sven Wittig, Anton Dilg

In this paper, we introduce a novel time domain correlation based channel sounder that operates at 485 GHz.


October 2025

Agile Sub-Terahertz to Terahertz Broadband Time-Domain Photonic Channel Sounder

Ramez Askar, Mario Goldenbaum, Wilhelm Keusgen, Michael Peter, Colja Schubert, Ronald Freund, Robert Elschner, Taro Eichler, Shahram Keyvaninia, Robert Kohlhaas, Oliver Stiewe, Milan Deumer, Alper Schultze, Garrit William Johannes Schwanke, Nico Vieweg, Thomas Puppe, Sebastian Müller, Albrecht Neudecker

This paper presents the design and implementation of an agile sub-terahertz (sub-THz) broadband time-domain photonic channel sounder, capable of characterizing wireless propagation channels within the 100 GHz to 500 GHz frequency range.


October 2025

RIPE: Reinforcement Learning on Unlabeled Image Pairs for Robust Keypoint Extraction

Johannes Wolf Künzel, Peter Eisert, Anna Hilsmann

We introduce RIPE, an innovative reinforcement learning-based framework for weakly-supervised training of a keypoint extractor that excels in both detection and description tasks. In contrast to conventional training regimes that depend heavily...


October 2025

Waveform Design for Simultaneous MIMO Radar Sensing and Multi-User Communication

Berkan Kilic, Slawomir Stanczak, Kenan Turbic

This work introduces a two-stage waveform design framework for multi-antenna integrated sensing and communication systems. By optimizing radar beampatterns and communication signals under practical constraints, the proposed method achieves...


October 2025

Digital Post-Distortion Architectures for Nonlinear Power Amplifiers: Volterra and Kernel Methods

Daniel Schäufele, Slawomir Stanczak, Renato L. G. Cavalcante, Jochen Fink

In modern 5G UEs, the PA consumes large amounts of power. However, there is a trade-off between power efficiency and nonlinear distortion. This study explores digital post-distortion to address PA nonlinearities at the base station. We take a...


September 2025

D-Band Adaptive Beamforming for 6G Sub-THz Communications: Feasibility and Experimental Results

Sven Wittig, Thomas Haustein, Matthias Mehlhose, Slawomir Stanczak, Michael Peter, Ramez Askar, Mathis Schmieder, Thomas Merkle, Jaehoon Chung, Utku Uçak, Laurenz John, Yonghak Suh, Jongpil Lee, Bersant Gashi, Arnulf Leuther

Making sub-Terahertz frequencies usable in future mobile radio networks such as 6G requires adaptive beamforming techniques. Using newly developed D-band front ends, we present first experimental evidence for the feasibility of this approach.


September 2025

Beampattern Synthesis with a Computationally Efficient Matrix Nearness Approach

Berkan Kilic, Slawomir Stanczak, Martin Kasparick, Kenan Turbic

This work introduces a computationally efficient method for MIMO radar beampattern synthesis through optimized waveform covariance matrix design. The approach directs transmitted power toward target regions, minimizes cross-correlations, and...


September 2025

Linear Phase Beampattern Design with Set-theoretic Methods

Jochen Fink, Slawomir Stanczak, Renato L. G. Cavalcante

This paper investigates the potential to approximate a nonconvex beampattern design problem with constraints in the angular domain via a restriction to a convex subset of the feasible region. Simulations show that that imposing this convex...


September 2025

NOBS: A Data-Sovereign Telemetry and Monitoring Framework for 6G Networks

Aydin Jafari, Mohammad Behnam Shariati, Pooyan Safari, Angela Mitrovska, Mihail Balanici, Johannes Karl Fischer Fischer

In this paper, we present the Network Observability Platform (NOBS), a data-sovereign telemetry and monitoring framework designed to meet the primary needs of multi-vendor packet-optical networks in the Sixth Generation (6G) era. NOBS supports...


September 2025

Data Sovereign LLM-Assisted Automation Platform for Open Optical and Packet Transport Networks

Mohammad Behnam Shariati, Johannes Fischer, Pooyan Safari, Angela Mitrovska, Mihail Balanici, Hussein Zaid, Aydin Jafari

The Open Optical Transport Network (OOPT) architecture, defined by the Telecom Infra Project (TIP), is currently being deployed by major operators. The OOPT ecosystem, with its multi-stakeholder and multi-vendor environment, faces challenges like...


September 2025

Resilience Enhancement of Optical Network-Cloud Ecosystems with Dataspace Framework and Multi-entity Cooperation (Invited)

Sugang Xu, Ronald Freund, Johannes Fischer, Mohammad Behnam Shariati, Pooyan Safari, Angela Mitrovska, Hideaki Furukawa, Subhadeep Sahoo, Yusuke Hirota, Yuki Yoshida, Kouichi Akahane, Sifat Ferdousi, Massimo Tornatore, Yoshinari Awaji , Biswanath Mukherjee

To enhance the resilience of network-cloud ecosystems, we establish a data governance framework for sharing optical testbed data across organizations and fostering machine learning research of optical networks. We further introduce multientity...


September 2025

Batch-Aware Active Learning for Object Detection

Mykyta Kovalenko, Peter Eisert, Anna Hilsmann, Sebastian Bosse

Active Learning is a powerful way to cut down the time and effort needed to annotate data, but its use in object detection remains underexplored. We introduce a Batch-Aware Active Learning (BAAL) framework that combines uncertainty with diversity...


September 2025

Hybrid Photonic Integrated Circuit for Tunable, Narrow-Linewidth mmWave to sub-THz Signal Generation

Tianwen Qian

We experimentally demonstrate a photonic integrated circuit (PIC) that generates tunable mmWave signals with Hz-level linewidths. Utilizing on-chip optical frequency combs and injection locking, the phase-locked optical signals exhibit beat notes...


August 2025

On the effectiveness of multimodal privileged knowledge distillation in two vision transformer based diagnostic applications

Simon Baur, Jackie Ma, Emilio Dolgener Cantú, Alexandra Benova

Deploying deep learning models in clinical practice often requires leveraging multiple data modalities, such as images, text, and structured data, to achieve robust and trustworthy decisions. However, not all modalities are always available at...


August 2025

An Open Source Digital Twin Framework for O-RAN

Hammad Zafar, Slawomir Stanczak, Martin Kasparick, Ehsan Tohidi

This paper introduces a digital twin framework for O-RAN, designed to support the development and testing of xApps. By leveraging real-time data analysis and simulation, digital twins facilitate network performance optimization and enable a...


August 2025

E2E energy monitoring for AI inference in mobile networks

Abhishek Girish Dandekar, Julius Schulz-Zander, Ashrafur Rahman

When doing edge inference, VLM models in certain situations might consume similar energy as that of private 5G networks.


August 2025

Geometrical and Physical Optics Analysis of Sub-THz Elliptical Dielectric Lens

Vitor Carvalho De Almeida, Wilhelm Keusgen, Michael Peter, Ramez Askar

Analysis of dielectric lens in sub-THz frequencies often demands huge computational effort for full-wave electromagnetic methods. This paper presents an asymptotic technique for lens analysis at D-band, using ray tracing and applying Kirchhoff’s...


August 2025

Sub-THz Waveguide Band-Pass Filter: Design, Analysis and Fabrication Repeatability

Mehmet Ahad Yurtoglu, Michael Peter, Ramez Askar, Sven Wittig

This work presents high-precision all-metal Chebyshev band-pass filters operating in the Y-band (470?GHz) and D-band (160?GHz), featuring six coupled cavities and 10?GHz bandwidth with 20?dB return loss. CNC milling enables sub-5??m fabrication...


August 2025

Reconfigurable Intelligent Surface Placement for Enhanced User Equipment Coverage

Sven Haesloop, Slawomir Stanczak, Ehsan Tohidi

This work investigates how smart placement of Reconfigurable Intelligent Surfaces (RISs) can extend wireless coverage by considering Line-of-Sight conditions and surface orientation as key design factors. A low-complexity algorithm enables...


August 2025

Spatially Resolved Rainfall Streamflow Modeling in Central Europe

Marc Vischer, Jackie Ma, Noelia Otero Felipe

Climate change increases the risk of disastrous floods and makes intelligent fresh water management an ever more important issue for society. A central prerequisite is the ability to accurately predict the water level in rivers from a range of...


August 2025

Deep Learning-Based Postprocessing to Enhance Subseasonal Soil Moisture Forecasts Over Europe

Noelia Otero Felipe, Jackie Ma, Atahan Özer

Accurate forecasts on subseasonal (S2S) timescales are essential for the preparation andmitigation of the impacts of high?impact events, such as flash droughts. To improve the accuracy of soilmoisture forecasts—a critical factor in identifying...


August 2025

Quantification of Degradation Processes in Lithium-Ion Batteries Through Internal Strain Measurement with Fiber Bragg Grating Sensors

Leonard Kropkowski, Wolfgang Schade, Antonio Nedjalkov, Tim Oestreich, Fangqi Li, Alexandra Burger, Andreas Würsig

This study explores the use of fiber optical sensors with Bragg gratings to monitor internal strain in lithium-ion battery anodes, offering new insights into aging and degradation. By combining optical measurements with traditional methods, it...


August 2025

On Level Crossings and Fade Durations in von Mises-Fisher Scattering Channels

Kenan Turbic, Slawomir Stanczak, Martin Kasparick

The paper presents closed-form analytical expressions for the level-crossing rate (LCR) and average fade duration (AFD) in channels with von Mises–Fisher (vMF) scattering. This work complements our previous results on correlation functions and...


July 2025

Demonstration of a Programmable Node Prototype for Spatial Lane Switching and Band Switching

Abdelrahmane Moawad, R. Morro, Colja Schubert, Robert Emmerich, Johannes K. Fischer, Mohammad Behnam Shariati, A. Giorgetti, Caio Marciano Santos, Hussein Zaid

In this work, we designed a passive 2×2 MBoSDM node prototype that is capable of band and space/fiber switching. The prototype is fully controllable though an SDN agent and supports selective band switching as well as add/drop functions for the...


June 2025

High-Capacity THz Wireless Transmission Supporting Future 6G Optical Networks

Colja Schubert, Martin Schell, Ronald Freund, Robert Elschner, Simon Nellen, Robert Kohlhaas, Oliver Stiewe, Milan Deumer, Thomas Merkle, Axel Tessmann, In-Ho Baek, Frederik Bart, Fred Meier, Andreas Maaßen, Kallyan Das, Simon Schütze, Markus Rösch

The paper reviews recent developments in high-capacity THz wireless transmission, focusing on point-to-point links in the lower THz frequency range around 300 GHz. Available technologies and challenges for integration into future 6G optical...


June 2025

N-Heterocyclic Olefins of Pyrazole and Indazole

Bloin Zhu, Eike Hübner, Felix Lederle, Andreas Schmidt, Rouven Woyciechowski

Deprotonation of 3-methylpyrazolium and 3-methylindazolium salts yielded N-heterocyclic olefins (NHOs), which reacted with isocyanates, halogens, and carbon disulfide. Calculated proton affinities are 261 kcal/mol (indazole NHOs) and 272 kcal/mol...


June 2025

Datasets for QoT estimation in SDM networks

Hassan Akbari, R. Freund, Johannes K. Fischer, Mohammad Behnam Shariati, Pooyan Safari, Juan L. Morrone

The advancement of machine learning (ML)-assisted solutions for monitoring and performance analysis in space-division multiplexing (SDM) networks has been significantly constrained by a shortage of large, well-structured, and publicly available...


June 2025

Angle-Resolved Channel Measurements at 28 and 160 GHz in Open Office Industrial-Like Environment

Mathis Schmieder, Wilhelm Keusgen, Michael Peter, Ramez Askar, Alper Schultze, Niclas Woodstock Kullig

This paper investigates angle-resolved channel measurements at 28 and 160 GHz within an industrial-like open office environment. It presents findings on power metrics, delay, and angular characteristics based on 135 measurement positions. Results...


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