• Traffic Structure-Aware Network Telemetry Systems: Foundations, Designs, and Applications 

  Misa, Chris (University of Oregon, 2024-08-07)

  Real-time traffic monitoring is a mission-critical capability for engineers and administrators tasked with managing modern computer networks. To cope with the challenges of extremely large traffic volumes, the emergence ...
• High Performance Computing Methods for Earthquake Cycle Simulations 

  Chen, Yimin (University of Oregon, 2024-08-07)

  Earthquakes often occur on complex faults of multiscale physical features, with different time scales between seismic slips and interseismic periods for multiple events. Single event, dynamic rupture simulations have been ...
• On the Spatial and Temporal Safety of Multi-Language Applications 

  Mergendahl, Samuel (University of Oregon, 2024-08-07)

  While the introduction of memory-safe programming languages into embedded, Cyber-Physical Systems (CPS) offers an opportunity to eliminate many system vulnerabilities, a pragmatic adoption of memory-safe programming languages ...
• ONLINE PERFORMANCE OBSERVATION FOR HPC APPLICATIONS 

  Yokelson, Dewi (University of Oregon, 2024-08-07)

  The exascale computing era is providing faster and more powerful systems for advanced HPC applications. However, it is increasingly challenging for programmers to utilize the range of hardware resources that make up these ...
• Enhancing Multilingual Information Extraction Towards Global Linguistic Inclusivity 

  Nguyen, Van Minh (University of Oregon, 2024-08-07)

  In our interconnected world, the diversity of around 7,000 languages presents challenges and opportunities for bridging language barriers. Multilingual information extraction (Multilingual IE) is crucial in natural language ...
• Automatic Code Rewriting for Performance Portability 

  Johnson, Alister (University of Oregon, 2024-08-07)

  Rewriting code for cleanliness, API changes, and new programming models is a common, yet time-consuming task. This is important for HPC applications that desire performance portability in particular, since these applications ...
• SWAN: A Framework to Bootstrap Trust in Network Data Science 

  Elfandi, Abduarraheem (University of Oregon, 2024-08-07)

  Two significant challenges must be overcome before machine learning models can be deployed in an operational setting: the ability to achieve trust within and across enclaves which includes addressing data privacy concerns. ...
• MCBench: A Multi-Cloud Benchmarking System 

  Alabduljalil, Abdulaziz (University of Oregon, 2024-08-07)

  In today’s climate, there is a trend of enterprises moving their systems and applications to the cloud, with systems working within multiple cloud providers. However, as the trend continues, there remains a lack of a ...
• Optical Topology Programming: Foundations, Measurements, and Applications 

  Hall, Matthew (University of Oregon, 2024-08-07)

  This thesis advances the state-of-the-art in network management by challenging the prevailing notion that the joint optimization of optical and packet layers is currently impractical. It does so through two key contributions: ...
• Reflections of Closures 

  Sullivan, Zachary (University of Oregon, 2024-03-25)

  The idea that programs are data forms the bedrock of functional programming languages, but it is also found in object-oriented languages and recent iterations of systems languages. Since passing and returning programs ...
• Certified and Forensic Defenses against Poisoning and Backdoor Attacks 

  Hammoudeh, Zayd (University of Oregon, 2024-03-25)

  Data poisoning and backdoor attacks manipulate model predictions by inserting malicious instances into the training set. Most existing defenses against poisoning and backdoor attacks are empirical and easily evaded by an ...
• LEARNING-BASED LANDMARK ESTIMATION OF 3D BODY SCANS 

  Baruwa, Ahmed (University of Oregon, 2024-03-25)

  The use of anatomical landmarks spans a diverse set of applications because they are essential for understanding the human body. Several research studies have examined the correlation between body shape variations and human ...
• Foundations of LEO Satellite Edge Computing: An Empirical Study Based on the Hypatia Simulator 

  Dinh, Tien (University of Oregon, 2024-01-09)

  Low Earth Orbit (LEO) satellite networks have gained significant attention in recent years due to their potential to revolutionize global connectivity. SpaceX, Amazon, and Telesat are the most prominent players aiming to ...
• Improving Cross-Lingual Transfer Learning for Event Detection 

  Guzman Nateras, Luis (University of Oregon, 2024-01-09)

  The widespread adoption of applications powered by Artificial Intelligence (AI) backbones has unquestionably changed the way we interact with the world around us. Applications such as automated personal assistants, automatic ...
• Fine-grained, Content-agnostic Network Traffic Analysis for Malicious Activity Detection 

  Feng, Yebo (University of Oregon, 2024-01-09)

  The rapid evolution of malicious activities in network environments necessitates the development of more effective and efficient detection and mitigation techniques. Traditional traffic analysis (TA) approaches have ...
• Structure-based Models for Neural Information Extraction 

  Pouran Ben Veyseh, Amir (University of Oregon, 2024-01-09)

  Information Extraction (IE) is one of the important fields in Natural Language Processing. IE models can be exploited to obtain meaningful information from raw text and provide them in a structured format which can be used ...
• Cryptography, Dependability and Privacy in Decentralized Systems 

  Hu, Zhangxiang (University of Oregon, 2024-01-09)

  Decentralized systems are distributed systems that disperse computation tasks to multiple parties without relying on a trusted central authority. Since any party can be attacked and compromised by malicious adversaries, ...
• Low-Resource Event Extraction 

  Lai, Viet (University of Oregon, 2024-01-09)

  The last decade has seen the extraordinary evolution of deep learning in natural language processing leading to the rapid deployment of many natural language processing applications. However, the field of event extraction ...
• Advancing Clinical Natural Language Processing through Knowledge-Infused Language Models 

  Lu, Qiuhao (University of Oregon, 2024-01-09)

  Pre-trained Language Models (PLMs) have shown remarkable success in general-domain text tasks, but their application in the clinical domain is constrained by specialized language, terminology, and a lack of in-depth ...
• On the Multi-Fractal Nature of Observed IP Addresses in Measured Internet Traffic 

  OConnor, Walton (University of Oregon, 2023-07-06)

  We examine the presence of multifractal properties in the spatial structure of observed IPv4 addresses in measured Internet traffic. A collection of traffic samples from a variety of network settings are assembled and their ...

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