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🔍 christopher beattie 📂 Engineering
Showing 34 results for "christopher beattie" in Engineering
Engineering Preprint PDF DOI

Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis of Emerging Labor Market Disruption

Ravish Gupta, Saket Kumar · 2026

This paper extends the Acemoglu-Restrepo task exposure framework to address the labor market effects of agentic artificial intelligence systems: autonomous AI agents capable of completing entire occup…

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Engineering Preprint PDF DOI

Scaling and Trade-offs in Multi-agent Autonomous Systems

Abram H. Clark, Liraz Mudrik, Colton Kawamura, Nathan C. Redder, Joao P. Hespanha, Isaac Kaminer · 2026

Designing autonomous drone swarms is hampered by a vast design space spanning platform, algorithmic, and numerical-strength choices. We perform large-scale agent-based simulations in three canonical s…

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Engineering Preprint PDF DOI

Probability-Aware Parking Selection

Cameron Hickert, Sirui Li, Zhengbing He, Cathy Wu · 2026

Current navigation systems conflate time-to-drive with the true time-to-arrive by ignoring parking search duration and the final walking leg. Such underestimation can significantly affect user experie…

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Engineering Preprint PDF DOI

The Battle of the Water Futures

Dennis Zanutto, Christos Michalopoulos, Lydia Tsiami, Andre Artelt, Jasmin Brandt, Demetrios Eliades, Stelios Vrachimis, Stefano Alvisi, Valentina Marsili, Filippo Mazzoni, Panagiotis Smartzis, Barbara Hammer, Phoebe Koundouri, Marios Polycarpou, Dragan Savic · 2025

The highly anticipated 'Battle of the Water Networks' is back with a new challenge for the water community. This competition will be hosted at the 4th International Joint Conference on Water Distribut…

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Engineering Preprint PDF DOI

3D-TDA -- Topological feature extraction from 3D images for Alzheimer's disease classification

Faisal Ahmed, Taymaz Akan, Fatih Gelir, Owen T. Carmichael, Elizabeth A. Disbrow, Steven A. Conrad, Mohammad A. N. Bhuiyan · 2025

Now that disease-modifying therapies for Alzheimer disease have been approved by regulatory agencies, the early, objective, and accurate clinical diagnosis of AD based on the lowest-cost measurement m…

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Engineering Preprint PDF DOI

Using ensemble learning with hybrid graph neural networks and transformers to predict traffic in cities

Ismail Zrigui, Samira Khoulji, Mohamed Larbi Kerkeb · 2025

Intelligent transportation systems (ITS) still have a hard time accurately predicting traffic in cities, especially in big, multimodal settings with complicated spatiotemporal dynamics. This paper pre…

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Engineering Preprint PDF DOI

Estimation of aboveground biomass in a tropical dry forest: An intercomparison of airborne, unmanned, and space laser scanning

Nelson Mattie, Arturo Sanchez-Azofeifa, Pablo Crespo-Peremarch, Juan-Ygnacio Lopez-Hernandez · 2025

According to the Paris Climate Change Agreement, all nations are required to submit reports on their greenhouse gas emissions and absorption every two years by 2024. Consequently, forests play a cruci…

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Engineering Preprint PDF DOI

SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-Tuning

Siyi Wu, Leyi Zhao, Haotian Ma, Xinyuan Song · 2025

Accurate segmentation of tubular and curvilinear structures, such as blood vessels, neurons, and road networks, is crucial in various applications. A key challenge is ensuring topological correctness …

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Engineering Preprint PDF DOI

Cech Complex Generation with Homotopy Equivalence Framework for Myocardial Infarction Diagnosis using Electrocardiogram Signals

Srikireddy Dhanunjay Reddy, Pujayita Deb, Tharun Kumar Reddy Bollu · 2024

Early and optimal identification of cardiac anomalies, especially Myocardial infarction (MCI) can aid the individual in obtaining prompt medical attention to mitigate the severity. Electrocardiogram (…

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Engineering Preprint PDF DOI

Testing Topological Data Analysis for Condition Monitoring of Wind Turbines

Simone Casolo, Alexander Stasik, Zhenyou Zhang, Signe Riemer-Sorensen · 2024

We present an investigation of how topological data analysis (TDA) can be applied to condition-based monitoring (CBM) of wind turbines for energy generation. TDA is a branch of data analysis focusing …

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Engineering Preprint PDF DOI

Distribution of Test Statistic for Euclidean Distance Matrices

Dawson Beatty · 2024

Methods for global navigation satellite system fault detection using Euclidean Distance Matrices have been presented recently in the literature. Published methods define a test statistic in terms of e…

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Engineering Preprint PDF DOI

BEATLE -- Self-Reconfigurable Aerial Robot: Design, Control and Experimental Validation

Junichiro Sugihara, Moju Zhao, Takuzumi Nishio, Kei Okada, Masayuki Inaba · 2024

Modular self-reconfigurable robots (MSRRs) offer enhanced task flexibility by constructing various structures suitable for each task. However, conventional terrestrial MSRRs equipped with wheels face …

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Engineering Preprint PDF DOI

Time topological analysis of EEG using signature theory

Stephane Chretien, Ben Gao, Astrid Thebault-Guiochon, Remi Vaucher · 2024

Anomaly detection in multivariate signals is a task of paramount importance in many disciplines (epidemiology, finance, cognitive sciences and neurosciences, oncology, etc.). In this perspective, Topo…

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Engineering Preprint PDF DOI

Topologically Faithful Multi-class Segmentation in Medical Images

Alexander H. Berger, Nico Stucki, Laurin Lux, Vincent Buergin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold · 2024

Topological accuracy in medical image segmentation is a highly important property for downstream applications such as network analysis and flow modeling in vessels or cell counting. Recently, signific…

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Engineering Preprint PDF DOI

Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS)

Nina I. Shamsi, Alex S. Xu, Lars A. Gjesteby, Laura J. Brattain · 2023

Automated axon tracing via fully supervised learning requires large amounts of 3D brain imagery, which is time consuming and laborious to obtain. It also requires expertise. Thus, there is a need for …

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Engineering Preprint PDF DOI

Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images

Seher Ozcelik, Sinan Unver, Ilke Ali Gurses, Rustu Turkay, Cigdem Gunduz-Demir · 2023

Segmentation networks are not explicitly imposed to learn global invariants of an image, such as the shape of an object and the geometry between multiple objects, when they are trained with a standard…

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Engineering Preprint PDF DOI

Reporting existing datasets for automatic epilepsy diagnosis and seizure detection

Palak Handa, Sakshi Tiwari, Nidhi Goel · 2023

More than 50 million individuals are affected by epilepsy, a chronic neurological disorder characterized by unprovoked, recurring seizures and psychological symptoms. Researchers are working to automa…

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Engineering Preprint PDF DOI

Training Terahertz Wireless Systems to Battle I/Q Imbalance

Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou · 2023

Due to the non-ideality of analog components, transceivers experience high levels of hardware imperfections, like in-phase and quadrature imbalance (IQI), which manifests itself as the mismatches of a…

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Engineering Preprint PDF DOI

The Edge of Disaster: A Battle Between Autonomous Racing and Safety

Matthew Howe, James Bockman, Adrian Orenstein, Stefan Podgorski, Sam Bahrami, Ian Reid · 2022

Autonomous racing represents a uniquely challenging control environment where agents must act while on the limits of a vehicle's capability in order to set competitive lap times. This places the agent…

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Engineering Preprint PDF DOI

Persistent Homology for Breast Tumor Classification using Mammogram Scans

Aras Asaad, Dashti Ali, Taban Majeed, Rasber Rashid · 2022

An Important tool in the field topological data analysis is known as persistent Homology (PH) which is used to encode abstract representation of the homology of data at different resolutions in the fo…

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