Real-time Fusion of Stereo Vision and Hyperspectral Imaging for Objective Decision Support during Surgery
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.
Live Demonstration of Modulation Format Identification Using a Photonic Neural Network
We demonstrate modulation format identification on a micro ROADM ring using a photonic neural network with low-speed photodiodes.
Design and Validation of a Time Domain Correlation based Channel Sounder up to 500 GHz
In this paper, we introduce a novel time domain correlation based channel sounder that operates at 485 GHz.
Agile Sub-Terahertz to Terahertz Broadband Time-Domain Photonic Channel Sounder
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.
RIPE: Reinforcement Learning on Unlabeled Image Pairs for Robust Keypoint Extraction
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...
Waveform Design for Simultaneous MIMO Radar Sensing and Multi-User Communication
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...
Digital Post-Distortion Architectures for Nonlinear Power Amplifiers: Volterra and Kernel Methods
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...
D-Band Adaptive Beamforming for 6G Sub-THz Communications: Feasibility and Experimental Results
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.
Beampattern Synthesis with a Computationally Efficient Matrix Nearness Approach
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...
Linear Phase Beampattern Design with Set-theoretic Methods
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...
NOBS: A Data-Sovereign Telemetry and Monitoring Framework for 6G Networks
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...
Data Sovereign LLM-Assisted Automation Platform for Open Optical and Packet Transport Networks
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...
Resilience Enhancement of Optical Network-Cloud Ecosystems with Dataspace Framework and Multi-entity Cooperation (Invited)
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...
Batch-Aware Active Learning for Object Detection
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...
Hybrid Photonic Integrated Circuit for Tunable, Narrow-Linewidth mmWave to sub-THz Signal Generation
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...
On the effectiveness of multimodal privileged knowledge distillation in two vision transformer based diagnostic applications
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...
An Open Source Digital Twin Framework for O-RAN
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...
E2E energy monitoring for AI inference in mobile networks
When doing edge inference, VLM models in certain situations might consume similar energy as that of private 5G networks.
Geometrical and Physical Optics Analysis of Sub-THz Elliptical Dielectric Lens
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...
Sub-THz Waveguide Band-Pass Filter: Design, Analysis and Fabrication Repeatability
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...
Reconfigurable Intelligent Surface Placement for Enhanced User Equipment Coverage
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...
Spatially Resolved Rainfall Streamflow Modeling in Central Europe
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...
Deep Learning-Based Postprocessing to Enhance Subseasonal Soil Moisture Forecasts Over Europe
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...
Quantification of Degradation Processes in Lithium-Ion Batteries Through Internal Strain Measurement with Fiber Bragg Grating Sensors
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...
On Level Crossings and Fade Durations in von Mises-Fisher Scattering Channels
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...
Demonstration of a Programmable Node Prototype for Spatial Lane Switching and Band Switching
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...
High-Capacity THz Wireless Transmission Supporting Future 6G Optical Networks
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...
N-Heterocyclic Olefins of Pyrazole and Indazole
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...
Datasets for QoT estimation in SDM networks
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...
Angle-Resolved Channel Measurements at 28 and 160 GHz in Open Office Industrial-Like Environment
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...





























