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🔍 matthew wallingford 📂 Engineering
Showing 1795 results for "matthew wallingford" in Engineering
Engineering Preprint PDF DOI

Blind OFDM-ISAC Relying on Asymmetric Modem Constellations

Henglin Pu, Ahmad Musallam, Husheng Li, Lajos Hanzo · 2026

Integrated sensing and communication (ISAC) is increasingly expected to operate under aggressive spectrum reuse, where co-channel orthogonal frequency division multiplexing (OFDM) interference can be …

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Engineering Preprint PDF DOI

Robust Graph Matching through Semantic Relationship Generation for SLAM

David Perez-Saura, Jose Andres Millan-Romera, Miguel Fernandez-Cortizas, Holger Voos, Pascual Campoy, Jose Luis Sanchez-Lopez · 2026

Graph-based representations such as Scene Graphs enable localization in structured indoor environments by matching a locally observed graph, constructed from sensor data, to a prior map. This process …

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Engineering Preprint PDF DOI

Move-Then-Operate: Behavioral Phasing for Human-Like Robotic Manipulation

Haoming Xu, Lei Lei, Jie Gu, Chu Tang, Jingmin Chen, Ruiqi Wang · 2026

We present Move-Then-Operate, a Vision language action framework that explicitly decouples robotic manipulation into two distinct behavioral phases: coarse relocation (move) and contact-critical inter…

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Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley · 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to st…

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Engineering Preprint PDF DOI

Breaking Lock-In: Preserving Steerability under Low-Data VLA Post-Training

Suning Huang, Jiaqi Shao, Ke Wang, Qianzhong Chen, Jiankai Sun, Yanjiang Guo, Mac Schwager, Jeannette Bohg · 2026

Have you ever post-trained a generalist vision-language-action (VLA) policy on a small demonstration dataset, only to find that it stops responding to new instructions and is limited to behaviors obse…

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Engineering Preprint PDF DOI

Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis

Victoria Ribeiro Rodrigues, Paul W. Davenport, Nicholas J. Napoli · 2026

Respiratory airflow signals provide critical insight into breathing mechanics, yet conventional analysis methods remain limited in their ability to characterize the internal structure of individual br…

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Engineering Preprint PDF DOI

FastICA with Learned Scores from the Empirical Characteristic Function

David Watts, Jonathan H. Manton · 2026

Independent component analysis (ICA) estimates a demixing matrix that can recover statistically independent sources from linear mixtures. FastICA is a popular ICA algorithm due to its efficiency, but …

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Engineering Preprint PDF DOI

JAX-BEM: Gradient-Based Acoustic Shape Optimisation via a Differentiable Boundary Element Method

James Hipperson, Jonathan Hargreaves, Trevor Cox · 2026

Engineering structures are increasingly designed using numerical optimisation. However, traditional optimisation methods can be challenging with multiple objectives and many parameters. In machine lea…

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Engineering Preprint PDF DOI

Scaling of Gaussian Kolmogorov--Arnold Networks

Amir Noorizadegan, Sifan Wang · 2026

The Gaussian scale parameter \(\epsilon\) is central to the behavior of Gaussian Kolmogorov--Arnold Networks (KANs), yet its role in deep edge-based architectures has not been studied systematically. …

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Engineering Preprint PDF DOI

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving

Anjie Qiu, Donglin Wang, Zexin Fang, Sanket Partani, Hans D. Schotten · 2026

Cloud-hosted LLM inference for autonomous driving adds round-trip delay and depends on stable connectivity, while purely local edge models struggle under occlusion. We present SwarmDrive, a semantic V…

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Engineering Preprint PDF DOI

Algebraic Diversity: Principles of a Group-Theoretic Approach to Signal Processing

Mitchell A. Thornton · 2026

We present principles of algebraic diversity (AD), a group-theoretic approach to signal processing exploiting signal symmetry to extract more information per observation, complementing classical metho…

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Engineering Preprint PDF DOI

Quadruped Parkour Learning: Sparsely Gated Mixture of Experts with Visual Input

Michael Ziegltrum, Jianhao Jiao, Tianhu Peng, Chengxu Zhou, Dimitrios Kanoulas · 2026

Robotic parkour provides a compelling benchmark for advancing locomotion over highly challenging terrain, including large discontinuities such as elevated steps. Recent approaches have demonstrated im…

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Engineering Preprint PDF DOI

Mass Matrix Assembly on Tensor Cores for Implicit Particle-In-Cell Methods

Luca Pennati, Stefano Markidis · 2026

Matrix-multiply-accumulate (MMA) units, or tensor cores, are now widespread across modern computing architectures. Yet, their use for particle-grid operators remains limited. In implicit particle meth…

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Engineering Preprint PDF DOI

Matrix-Free 3D SIMP Topology Optimization with Fused Gather-GEMM-Scatter Kernels

Shaoliang Yang, Jun Wang, Yunsheng Wang · 2026

The matrix-free gather-batched-GEMM-scatter pattern eliminates global stiffness assembly for three-dimensional SIMP topology optimization, but the conventional three-stage implementation forces avoida…

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Engineering Preprint PDF DOI

Watching Physics: the Generative Science of Matter and Motion

Hagen Holthusen, Kevin Linka, Ellen Kuhl · 2026

Can we learn the physics of matter in motion directly from images and video--and trust it? Answering this question requires integrating experiments, physics-based simulation, and data across tradition…

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Engineering Preprint PDF DOI

A Universal Systematic Method to Generate Error Patterns on Memoryless Channels

Marwan Jalaleddine, Jiajie Li, Syed Mohsin Abbas, Warren J. Gross · 2026

The high computational cost of approaching the performance of Maximum-likelihood (ML) decoding has limited its practical use for decades. Because the complexity grows exponentially with the message le…

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Engineering Preprint PDF DOI

Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning

Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar, Sepideh Gohari, Azim Eskandarian · 2026

Road traffic accidents are a leading cause of fatalities worldwide. In the US, human error causes 94% of crashes, resulting in excess of 7,000 pedestrian fatalities and $500 billion in costs annually.…

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Engineering Preprint PDF DOI

A Two-Stage Multi-Modal MRI Framework for Lifespan Brain Age Prediction

Dingyi Zhang, Ruiying Liu, Yun Wang · 2026

The accurate quantification of brain age from MRI has emerged as an important biomarker of brain health. However, existing approaches are often restricted to narrow age ranges and single-modality MRI …

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Engineering Preprint PDF DOI

Learning ultra-compressible hyperelasticity with splines: Constitutive asymmetries and non-unique representations

Miguel Angel Moreno-Mateos, Simon Wiesheier, Paul Steinmann, Ellen Kuhl · 2026

Highly compressible solids, such as foams, exhibit complex responses, including pronounced tension-compression asymmetry. Capturing such behaviors within unified hyperelastic frameworks remains challe…

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Engineering Preprint PDF DOI

Data-Driven Probabilistic Finite $\mathcal{L}_2$-Gain Stabilization of Stochastic Linear Systems

Yitao Yan, Shuangyu Han, Jie Bao, Biao Huang · 2026

In process operations, it is desirable to manage the sensitivity of the system output against external disturbance in the form of finite $\mathcal{L}_2$-gain stabilization. This matter is, however, no…

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