Recent publications

This paper presents the development and implementation of a versatile ad-hoc metropolitan-range quantum key distribution (QKD) network. The approach presented integrates various types of physical channels and QKD protocols, and a mix of trusted...

An architecture for neuromorphic device-edge co-inference, with application to radio sensing for environment mapping in networked robotics scenarios. The developed demonstration setup integrates a radar sensor, radar preprocessing unit and...

An enhanced digital self-interference cancellation technique for in-band full-duplex (FD) wireless communications, focusing on overcoming challenges from nonlinear distortions. The method uses a kernelized adaptive projected subgradient method...

Real-time demonstration of an ultra-broadband (4 GHz) integrated sensing and communications (ISAC) system operating at 160 GHz in the upper D-band. The demonstration showcased quasi-monostatic sensing and a 4.9 Gbit/s communication link,...

This study presents a hyperspectral light field system for intraoperative tissue oxygen saturation (????????2) analysis and visualization. We present a correlation method for determining SO2 saturation with low computational demands. We...

Design and implementation of novel D-band (sub-THz) dual-channel (MIMO hybrid) beamforming wireless front-ends operating between 150 and 170 GHz. The system utilizes analog beamforming networks with two 16×16 microstrip Rotman lenses and dual...

This paper explores a WR6.5 rotary joint based on two 3D-printed mode transducers. Tests from 140 to 170 GHz show about 2 dB of insertion loss across a 16 GHz usable band (145-161 GHz) and less than 15 degree of phase variation, validating 3D...

A hybrid analog beamforming at D-band is demonstrated by integration between an antenna array and a dielectric lens. The beam is collimated on one plane by the antenna array, and on the other by the elliptical lens profile. The antenna element is...

Experience next-generation reconfigurable intelligent surfaces with a novel dual-polarized 2-bit RIS unit cell offering exceptional 55 dB cross-polarization isolation and 400 MHz bandwidth at 15 GHz. Featuring varactor-loaded bowtie elements and...

In this paper, we present an experimental investigation of two distinct THz transmitter architectures. While Terahertz (THz) wireless communication is key for 6G networks, a systematic performance comparison between different photonic-generated...

CGS-GAN enables, for the first time, stable, high-quality, and 3D-consistent head synthesis in 3D Gaussian Splatting GANs—without the view-conditioning that previously caused identity drift and inconsistencies. Through targeted multi-view...

We make a deep dive into the fabrication and testing of a photonic reservoir with digital readout. The developed neural network was tested for the identification of modulation formats at 32 Gbaud transmission rates, where it achieved a near-100%...

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.

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

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

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.

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...

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...

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...

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...

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.

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...

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...

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...

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...

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...

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...

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...

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...

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...