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🔍 andrew thompson 📂 Engineering
Showing 63 results for "andrew thompson" in Engineering
Engineering Preprint PDF DOI

Efficient Near Field Beam Tracking via Thompson Sampling

Junchi Liu, Zijun Wang, Shawn Tsai, Rui Zhang · 2026

The shift to the radiative near field region due to large antenna arrays necessitates beamforming that accounts for both angle and range, evolving mobility management into a joint angular range tracki…

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Engineering Preprint PDF DOI

Efficient, Adaptive Near-Field Beam Training based on Linear Bandit

Junchi Liu, Zijun Wang, Rui Zhang · 2026

This letter proposes a linear bandit-based beam training framework for near-field communication under multi-path channels. By leveraging Thompson Sampling (TS), the framework adaptively balances explo…

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Engineering Preprint PDF DOI

Uncertainty-Aware Calculation of Analytical Gradients of Matrix-Interpolatory Reduced-Order Models for Efficient Structural Optimization

Marcel Warzecha, Sebastian Resch-Schopper, Gerhard Muller · 2026

This paper presents an adaptive sampling algorithm tailored for the optimization of parametrized dynamical systems using projection-based model order reduction. Unlike classical sampling strategies, t…

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Engineering Preprint PDF DOI

Cost-Aware Diffusion Active Search

Arundhati Banerjee, Jeff Schneider · 2026

Active search for recovering objects of interest through online, adaptive decision making with autonomous agents requires trading off exploration of unknown environments with exploitation of prior obs…

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Engineering Preprint PDF DOI

What you reward is what you learn: Comparing rewards for online speech policy optimization in public HRI

Sichao Song, Yuki Okafuji, Kaito Ariu, Amy Koike · 2026

Designing policies that are both efficient and acceptable for conversational service robots in open and diverse environments is non-trivial. Unlike fixed, hand-tuned parameters, online learning can ad…

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Engineering Preprint PDF DOI

Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Networks via Sampling

Hamed Ajorlou, Gonzalo Mateos, Luana Ruiz · 2025

Assessing homophily in large-scale networks is central to understanding structural regularities in graphs, and thus inform the choice of models (such as graph neural networks) adopted to learn from ne…

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Engineering Preprint PDF DOI

Evaluating the Deformation Measurement Accuracy Using Low-SNR Radars for Future InSAR Missions

Emre Havazli, Shadi Oveisgharan, Michael Denbina, Brian Hawkins · 2025

Interferometric Synthetic Aperture Radar (InSAR) is a powerful tool for monitoring surface deformation with high precision. However, low Signal-to-Noise Ratio (SNR) conditions, common in regions with …

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Engineering Preprint PDF DOI

LLM Trainer: Automated Robotic Data Generating via Demonstration Augmentation using LLMs

Abraham George, Amir Barati Farimani · 2025

We present LLM Trainer, a fully automated pipeline that leverages the world knowledge of Large Language Models (LLMs) to transform a small number of human demonstrations (as few as one) into a large r…

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Engineering Preprint PDF DOI

Constructed Realities? Technical and Contextual Anomalies in a High-Profile Image

Matthias Wjst · 2025

This study offers a forensic assessment of a widely circulated photograph featuring Andrew Mountbatten-Windsor, Virginia Giuffre, and Ghislaine Maxwell, an image that has played a pivotal role in publ…

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Engineering Preprint PDF DOI

Conversations with Andrea: Visitors' Opinions on Android Robots in a Museum

Marcel Heisler, Christian Becker-Asano · 2025

The android robot Andrea was set up at a public museum in Germany for six consecutive days to have conversations with visitors, fully autonomously. No specific context was given, so visitors could sta…

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Engineering Preprint PDF DOI

Leveraging Offline Data from Similar Systems for Online Linear Quadratic Control

Shivam Bajaj, Prateek Jaiswal, Vijay Gupta · 2025

``Sim2real gap", in which the system learned in simulations is not the exact representation of the real system, can lead to loss of stability and performance when controllers learned using data from t…

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Engineering Preprint PDF DOI

Channel impulse response peak clustering using neural networks

Petr Horky, Ales Prokes, Radek Zavorka, Josef Vychodil, Jan M. Kelner, Cezary Ziolkowski, Aniruddha Chandra · 2025

This paper introduces an approach to process channel sounder data acquired from Channel Impulse Response (CIR) of 60GHz and 80GHz channel sounder systems, through the integration of Long Short-Term Me…

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Engineering Preprint PDF DOI

Patterning Silver Nanowire Network via the Gibbs-Thomson Effect

Hongteng Wang, Haichuan Li, Yijia Xin, Weizhen Chen, Haogen Liu, Ying Chen, Yaofei Chen, Lei Chen, Yunhan Luo, Zhe Chen, Gui-Shi Liu · 2025

As transparent electrodes, patterned silver nanowire (AgNW) networks suffer from noticeable pattern visibility, which is an unsettled issue for practical applications such as display. Here, we introdu…

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Engineering Preprint PDF DOI

Vehicle Rebalancing Under Adherence Uncertainty

Avalpreet Singh Brar, Rong Su, Yuling Li, Gioele Zardini · 2024

Ride-hailing systems often suffer from spatiotemporal supply-demand imbalances, largely due to the independent and uncoordinated actions of drivers. While existing fleet rebalancing methods offer repo…

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Engineering Preprint PDF DOI

Computational Imaging Through Atmospheric Turbulence

Nicholas Chimitt, Stanley H. Chan · 2024

Since the seminal work of Andrey Kolmogorov in the early 1940's, imaging through atmospheric turbulence has grown from a pure scientific pursuit to an important subject across a multitude of civilian,…

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Engineering Preprint PDF DOI

Partitioned Surrogates and Thompson Sampling for Multidisciplinary Bayesian Optimization

Susanna Baars, Jigar Parekh, Ihar Antonau, Philipp Bekemeyer, Ulrich Romer · 2024

The long runtime associated with simulating multidisciplinary systems challenges the use of Bayesian optimization for multidisciplinary design optimization (MDO). This is particularly the case if the …

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Engineering Preprint PDF DOI

DRL-based Joint Resource Scheduling of eMBB and URLLC in O-RAN

Rana M. Sohaib, Syed Tariq Shah, Oluwakayode Onireti, Yusuf Sambo, Qammer H. Abbasi, M. A. Imran · 2024

This work addresses resource allocation challenges in multi-cell wireless systems catering to enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) users. We present a…

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Engineering Preprint PDF DOI

M${}^2$NuFFT: A Computationally Efficient Suboptimal Power Spectrum Estimator for Fast Exploration of Nonuniformly Sampled Time Series

Jie Cui, Benjamin H. Brinkmann, Gregory A. Worrell · 2024

Nonuniformly sampled signals are prevalent in real-world applications. However, estimating their power spectra from finite samples poses a significant challenge. The optimal solution-Bronez Generalize…

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Engineering Preprint PDF DOI

Two-Stage Resource Allocation in Reconfigurable Intelligent Surface Assisted Hybrid Networks via Multi-Player Bandits

Jingwen Tong, Hongliang Zhang, Liqun Fu, Amir Leshem, Zhu Han · 2024

This paper considers a resource allocation problem where several Internet-of-Things (IoT) devices send data to a base station (BS) with or without the help of the reconfigurable intelligent surface (R…

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Engineering Preprint PDF DOI

Analyzing and Enhancing Queue Sampling for Energy-Efficient Remote Control of Bandits

Hiba Dakdouk, Mohamed Sana, Mattia Merluzzi · 2024

In recent years, the integration of communication and control systems has gained significant traction in various domains, ranging from autonomous vehicles to industrial automation and beyond. Multi-ar…

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