University of Virginia — CS Research

Computer science research from University of Virginia, covering machine learning, systems, and software engineering.

Sample of the collection (25 of 2,160 items)

• The consumer-to-producer temperature gradient predicts leading indicators: a new economic measurement based on physical principles and cause and effect PureTemp (United States) Abstract The Consumer-to-Producer Temperature Gradient (CPTG) is a completely new leading economic indicator derived in relation to…
• Glitches to growth: Lessons learned from developing and testing an augmented reality smartphone app for substance use treatment. Moffitt Cancer Center Augmented reality (AR) is an advanced technology that has emerged as a helpful tool in mobile health interventions for substance use…
• Hypersonic Reentry Deployable Glider Experiment 2 (HEDGE-2): Enabling Low-Cost Hypersonic Research Through a Deployable CubeSat Glider System; Drones as Humanitarian Aid Delivery Systems University of Virginia Currently, there is a hypersonic arms race between the United States, China, and Russia, deriving uses such as faster delivery over long…
• Artificial Intelligence Integration to Increase Usability in Customer Relationship Management Systems; How Big Tech Is Winning the Policy War Over AI's Future University of Virginia While AI is promoted as a useful tool, its wider implications are important, under-recognized and contested. Complex Customer Relational…
• HoosHelping - A Task assitance website for Charlottesville community; How Digital Sportsbooks Protect Their Business from Regulation University of Virginia Digital platforms create new economic opportunities but must navigate regulatory challenges to sustain their business models. The…
• Streamlining Site Configuration for the SIBBORK Model on the University of Virginia’s Rivanna Cluster; From Rave Guardian to UVA Ready: How Different Notions of “Safety” Shaped a Campus Security App University of Virginia In complex systems, how may efficacy, reliability, usability, and trust be optimized? How can running the SIBBORK spatially-explicit gap…
• Data Contracts: Data Lineage at Capital One; Disruption or Opportunity? Tech Industry Responses to the iPhone Revolution University of Virginia In the tech sector, how do employers and employees compete to advance their respective interests? Mobile platforms have compelled…
• Global Adaptive Performance Control with Input Saturation: A Low-Complexity Approach Shanghai Jiao Tong University In this paper, we propose a global adaptive performance control strategy for the output tracking problem of unknown nonlinear MIMO…
• Hoo-Rizon 1: Subscale Sounding Rocket; How Cold War Inheritance Enabled Apollo and Constrained What Followed University of Virginia Spaceflight is not only applied physics but also applied politics and project management, and demands success in all three realms. Under…
• The active monitoring of oxytocin research evidence (AMORE) platform University of Oslo Oxytocin, an evolutionarily conserved neuropeptide, plays a crucial role in various physiological and behavioural processes, offering…
• Interactions between spatial and temporal retrieval demands in memory University of Virginia Episodic memories contain information about when and where events occurred. These spatial and temporal contexts allow memories to be…
• Thermal transport in mechanically deformed two-dimensional materials and designed structures with their applications Huazhong University of Science and Technology Two-dimensional (2D) materials have garnered notable research interest due to their extraordinary properties. Assembling two or more 2D…
• Multi-resolution physics-aware recurrent convolutional neural network for complex flows University of Virginia We present MRPARCv2, Multi-resolution Physics-Aware Recurrent Convolutional Neural Network, designed to model complex flows by embedding…
• Intelligent Control for Flexible Manufacturing Systems: Data-Driven Modeling, Control, and Energy Management University of Virginia This dissertation advances smart manufacturing by developing intelligent, data driven solutions for mobile robot-assisted multiproduct…
• Test-Time Exploration With Safety Constraints University of Virginia In-context reinforcement learning (ICRL) is an emerging RL paradigm where the agent, after some pretraining procedure, is able to adapt…
• Reactive Heterocycle Usage in Methodology Development and Total Synthesis University of Virginia This dissertation covers a wide body of research in the field of synthetic organic chemistry. The first three chapters involve the use…
• Rethinking Tamper-Evident Logging: A High-Performance, Co-Designed Auditing System University of Virginia Existing tamper-evident logging systems suffer from high overhead and severe data loss in high-load settings, yet only provide…
• IB-PC: An Information Bottleneck Framework for Point Cloud-Based Building Information Modeling A. Alfred Taubman Health Care Center Accurate semantic interpretation of 3D point clouds is essential for the digital transformation of architecture, engineering, and…
• kNOT: A 2-D Distributed Network-on-Textile Architecture With Direct Die-to-Yarn Integration of 0.6 × 2.15 mm ² SoC and bySPI Chiplets for Wearable Computing University of Virginia This article presents kNOT, a scalable, distributed, and 2-D Network-On-Textile (kNOT) comprising miniaturized systems on chip (SoCs)…
• Examining Physiological Response and Facial Expression as Indicators of Trust in a Robot Partner University of Virginia Developments in the assistive capabilities of robots have allowed them to be more prevalent across domains from manufacturing to…
• Echo state network for coarsening dynamics of charge density waves University of Virginia An echo state network (ESN) is a type of reservoir computer that uses a recurrent neural network with a sparsely connected hidden layer.…
• Offline motion tracking of multi-link mechanisms using inertial sensor fusion and EKF-preconditioned FGO University of Virginia This paper presents a novel strategy for offline estimation of the spatial motion of a multi-link mechanism using Inertial Measurement…
• Machine Learning Phase Classification of Thermoelectric Materials University of Virginia In this study, we employ a Support Vector Machine (SVM) model to efficiently classify the phases of thermoelectric (TE) alloys. While ab…
• A physics-aware deep learning model for shear band formation around collapsing pores in shocked reactive materials University of Virginia Modeling shock-to-detonation phenomena in energetic materials (EMs) requires capturing complex physical processes such as strong shocks,…
• Supporting Mathematics Vocabulary Instruction for Elementary School Teachers Using the Content Acquisition Podcast Professional Development Process University of Virginia Mathematics vocabulary (MV) is foundational to student success in mathematics, yet many elementary teachers report limited training in…

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