Engineering Commons^™

Advancing Machine Learning Approaches Through Robust Methodologies In Llm Code Generation, Adversarial Text Classification, And Unsupervised Learning, Anahita Samadi

Computer Science and Engineering Dissertations - Archive

This dissertation combines insights across text, code, and image modalities to advance the robustness, efficiency, and adaptability of machine learning models. Specifically, we address challenges like adversarial vulnerability in text, the impact of test strategies on code generation, and dimensionality in image representation in unsupervised learning domain. These efforts highlight pipelines for designing machine learning systems that are not only efficient, but also adaptable to complex environments. In addition, these efforts together help form the basis for a multimodal AI capable of thriving in medical applications that this dissertation prototypes for future efforts.

Optimizing Architecture And Software For Next-Generation Memory Systems, Lingfeng Xiang

Computer Science and Engineering Dissertations - Archive

The rapid advancement of memory technologies presents new challenges and opportunities for system software and architectural design. This dissertation investigates how to optimize modern computing systems for next-generation memory, mostly focusing on persistent memory and Compute Express Link (CXL)-based memory. First, we conduct a detailed characterization of Intel Optane DC Persistent Memory, identifying the distinct behaviors of its on-DIMM read and write buffers and analyzing their impact on application performance. These insights motivate optimizations that decouple read and write paths, revealing that random read latency—especially in pointer-chasing workloads—is a dominant performance bottleneck. Second, we present NOMAD, a page management framework …

Medical Ai: Solving Healthcare Challenges And Inspiring Ai Innovation, Xiaowei Yu

Computer Science and Engineering Dissertations - Archive

Artificial Intelligence (AI) is transforming healthcare by enabling large-scale analysis of medical data and integrating multimodal information for more comprehensive diagnostics. I present my work addressing fundamental and challenging problems in developing state-of-the-art AI models for medical data analysis, including multimodal brain data and other medical datasets. Additionally, I design brain-inspired AI models by integrating insights from organizational principles of brain networks. Specifically, my research tackles three critical aspects: (1) AI in Computational Neuroscience, where I design deep learning models for brain network analysis to uncover the organizational principles of brain networks; (2) Brain-Inspired AI, where I integrate superior brain …

3d Perception, Mapping, And Navigation For Mobile Cobot, Tuan T. Dang

Computer Science and Engineering Dissertations - Archive

Service robots are migrating from tightly controlled factory lines into offices, hospitals, and homes, where they must perceive, remember, and act amid people, clutter, and perpetual change. Humans solve this daily by forming compact, task-relevant “cognitive maps”: we sample just enough sensory detail to guide the moment, stitch those snapshots into a sparse topological scaffold, and continuously refine it as we move. Guided by that insight, this dissertation proposes a biologically inspired mapping framework that turns partial RGB-D observations into a hybrid temporal-spatial memory—locally metric for centimeter-scale navigation yet globally topological for room-to-building navigation. The system first distills raw depth …

Breaking Granularity Barriers: Overcoming I/O Abstraction Limitations For High-Performance Storage Systems, Chen Zhong

Computer Science and Engineering Dissertations - Archive

Modern storage hierarchies exhibit performance differences spanning eight orders of magnitude. Each tier in the hierarchy presents fundamentally different optimal access sizes and patterns. Most systems read and write data in fixed-size units across different tiers, typically power-of-2 sizes. It simplifies data management but also suffers from large write amplification when handling small accesses in many real-world workloads. This fundamental disconnect between fixed-size I/O design assumption and real-world usage patterns represents the core challenge.

The storage community has recognized the limitations of fixed-size I/O abstractions and is exploring alternatives, like the new emerging NVMe-KV interface and object-based storage, which aim …

Environment And Intention Awareness For Navigation And Collaboration, Bhaskar Chandra Trivedi

Computer Science and Engineering Dissertations - Archive

Unmanned Aerial Systems (UAS) have become increasingly popular as versatile platforms for tasks such as surveillance, inspection, delivery, and maintenance. In many applications, UAS operate in environments frequented by people or containing sensitive infrastructure, which introduces physical risks in case of vehicle failure, as well as psychological and privacy concerns that may limit their acceptability. Ensuring safe and efficient operation thus requires that UAS consider these risks when planning navigation strategies. While prior information, such as city maps and building layouts, can partially inform risk assessment, such data is often incomplete, necessitating real-time augmentation of risk maps using sensor information. …

Excitation And Polarization Of Isolated Neurons By High-Frequency Sine Waves For Temporal Interference Stimulation, Iurii Semenov, Vitalii Kim, Giedre Silkuniene, Andrei G. Pakhomov

Bioelectrics Publications

The capacity of temporal interference (TI) stimulation to target deep brain regions without affecting nearby surface electrodes remains uncertain. Using artifact-free optical recording, we compare excitation patterns and thresholds in hippocampal neurons stimulated by “pure” and amplitude-modulated sine waves, representing TI waveforms near electrodes and at the target, respectively. We show that pure 2- and 20-kHz sine waves induce repetitive firing at rates that increase up to 60–90 Hz with stronger electric fields. Beyond this limit, action potentials merge into sustained depolarization, resulting in an excitation block. Modulating the sine waves at 20 Hz aligns firing with amplitude “beats” and …

Graphene-Polymer Nanocomposite For Electromagnetic Interference Shielding, Ravi Venkata Surya Sai Mogilisetti

Mechanical and Aerospace Engineering Theses - Archive

Polymers have widespread usage in most industries, such as aerospace, automotive, telecommunications, and medicine, mainly because they have a positive lightweight nature and excellent mechanical properties. One significant advantage of polymeric materials is their ability to combine nano-fillers, greatly enhancing their mechanical, electrical, and thermal properties. In the category of polymer matrices, polypropylene (PP) is notable for its low cost, ease of processing, and balanced mechanical properties. However, its relatively lower modulus and strength limit their applications in high-performance engineering. This research explores the addition of graphene into polypropylene to improve its mechanical properties and establish a conductive network for …

Materials Reliability In Direct-To-Chip Cooling: A Systematic Study Of Aluminum Corrosion In Next-Generation Data Center Coolants, Fnu Harish Gangadhara

Mechanical and Aerospace Engineering Theses - Archive

Data centers are rapidly scaling to support artificial intelligence, cloud platforms, and other high-performance workloads, driving a sharp increase in chip and rack power densities that are now approaching, and in some cases surpassing, 50–100 kW per rack. In response, direct-to-chip liquid cooling has become a key enabling technology for managing these extreme thermal loads, yet the durability of materials in contact with the coolant remains a major reliability concern over system lifetimes. Copper has traditionally been used for cold plates and cooling-loop components, but its relatively high cost, mass, and supply-chain uncertainty are motivating a shift toward aluminum as …

Comparative Life Cycle Assessment Of Conventional Open-Cut Pipeline Replacement With Trenchless Cured-In-Place Pipe Renewal Method For Wastewater Applications Using Midpoint Approach, Eesha Nilesh Karkhanis

Civil Engineering Theses - Archive

Underground infrastructure development has a significant impact on society, leading to continuous technological advancements. With the rising environmental concerns, novel technology is leaning towards adapting to sustainable practices for pipeline rehabilitation. Conducting a comparative study of environmental impacts produced by pipe renewal and replacement processes is a vital step towards sustainable development of underground infrastructure. Open-cut Pipeline Replacement (OCPR) is the conventional method used for pipeline rehabilitation, which involves the excavation of the ground surface to place a new pipe underground or replace an existing one. This process includes the trenching of ground, followed by surface reinstatement through backfill. The …

Assessment Of Long Term Durability Of Prefabricated Frp Strip Systems For The Rehabilitation Of Concrete, Karunya Kanagavel

Civil Engineering Theses - Archive

Fiber Reinforced Polymer (FRP) composites provide an extremely effective means of rehabilitating deteriorating and understrength concrete elements due to their characteristics of high specific strength and stiffness, corrosion resistance, and potential long-term durability, lightweight nature, and ease of placement in the field. Despite significant use of these materials, there is still a lack of long-term durability data. With this in mind, the current study investigates the impact of environmental exposure and aging on 3 commercially available prefabricated carbon fiber reinforced composite strips and their recommended adhesives used in externally bonded rehabilitation with the aim of providing a comprehensive set of …

Voltage And Var Control And Real-Time Digital Simulator-Based Protection System Testing For Power Distribution Systems, Gaurav Yadav

Theses and Dissertations--Electrical and Computer Engineering

Rising power demand calls for electric distribution systems to manage peak load. One option is reducing feeder voltage, which lowers voltage-dependent load demand and may also reduce energy usage. The technique, known as Conservation Voltage Reduction (CVR), may operate independently or within a volt/var control system. This dissertation examines CVR factor calculation using measurements collected at the substation, and proposes a curve-fitting and artificial neural network method to estimate active power losses using input active power, reactive power, and substation voltage. As utilities integrate more inverter-based resources (IBRs) to support increasing demand, rapid voltage fluctuations arise due to the intermittent …

A Framework For Ai Implementation In Construction: Use Cases, Challenges, And Benefits For Contractors, Jaqueline De Aquino Leite Gomes

Theses and Dissertations--Civil Engineering

The construction industry is one of the most important sectors that contribute to the economy worldwide, but it has been very slow in adopting digital transformation. Artificial Intelligence is the backbone of digital innovation, and it can help solve inefficiencies, improve safety, and enhance decision-making in construction. This thesis reviews 85 academic papers, identifies 354 AI use-cases, 180 benefits, and 173 challenges. Key findings have looked at the role of AI in safety monitoring, design optimization, and operational efficiency, while barriers involve data scarcity, high costs, and readiness of the workforce.

All of these challenges have one very handy framework …

Reducing Friction In Machine Oil Via Cesium-Hybridized Graphene Oxide Quantum Dot Additives, Islam Gomaa, Sherief Elsoudy, Maryam Galal, Ahmed Azim

Nanotechnology Research Centre

Friction and wear are among the most common causes of energy loss and component failure in mechanical systems, accounting for around 20–30% of total global energy consumption. Conventional lubricants fail to provide consistent performance in harsh conditions due to inadequate additive dispersion, agglomeration, and restricted surface reactivity. Recent advances in nanomaterial-based lubricants have shown promise, but it remains difficult to achieve significant friction and wear reduction at low additive concentrations while preserving stability. In this study, we synthesized and tested cesium-hybridized graphene oxide quantum dots (Cs-GOQDs) as novel lubricant additives. When incorporated into machine oil at 0.1 wt%, Cs-GOQDs reduced …

Examining Terraform And Bicep: A Comparative Analysis Of Infrastructure As Code Tools For Provisioning Azure Environments, Richard Coffey, Kevin Bayliss

Academic Poster Collection

Examining Terraform and Bicep: A Comparative Analysis of Infrastructure as Code Tools for Provisioning Azure Environments

Nomad Vs. Kubernetes, Alexandru Constantin Cardas, Omar Portillo

Academic Poster Collection

Nomad vs. Kubernetes

Investigation Into Finops Techniques To Optimise Cost In Aws Cloud Deployments, Denis Parker, Kevin Bayliss

Academic Poster Collection

Investigation Into FinOps Techniques To Optimise Cost in AWS Cloud Deployments

The Business-Day Cloud: A Hybrid Kubernetes And Serverless Solution For Sustainable Scaling With Predictable Load Patterns, Brendan Burnside, David White

Academic Poster Collection

The Business-Day Cloud: A Hybrid Kubernetes and Serverless solution for Sustainable Scaling with Predictable Load Patterns

An Evaluation Of Zero Trust Principles In Modern Software Development, Cezar Vararu, David White

Academic Poster Collection

An evaluation of Zero Trust Principles in modern software development

Cost Optimization In Open Telemetry, Niksa Jadric, Cormac Keogh

Academic Poster Collection

Cost Optimization in Open Telemetry

Exploring Rust’S Performance In A Serverless Environment, Saoirse Mullen, Gary Clynch

Academic Poster Collection

Exploring Rust’s Performance in a Serverless Environment

Performance Evaluation Of Zabbix And Azure Monitor In Hybrid It Infrastructure, Ivan Godoy, Cormac Keogh

Academic Poster Collection

Performance Evaluation of Zabbix and Azure Monitor in Hybrid IT Infrastructure

Ai-Based Predictive Analytics For Network Operations, Timur Nikisin, David White

Academic Poster Collection

AI-Based Predictive Analytics for Network Operations

Cultural Society Branding, Gabriella Nieves, Katie Parrish

Student Research Design & Innovation Symposium

Cultural Society is a non-profit organization dedicated to inspiring curiosity, improving education, and embracing diversity in our community. The presenters were tasked with creating a new brand identity for Cultural Society, as well as for its AAPI (Asian American and Pacific Islander) History Museum, where people can learn about AAPI history, cultures, and impacts in Rhode Island. The branding was developed in a way that represents Cultural Society's values of creativity, personal action, learning without borders, personal growth, and resilience. Shortly after graduation, one presenter was hired part-time by Cultural Society to design environmental graphics and promotional items for the …

Stowable Communication Board For Wheelchair Users, Andrew Peet, Harrison Ullucci, Aaliyah Couto

Student Research Design & Innovation Symposium

Communication boards are essential tools for individuals who use wheelchairs, experience speech limitations, are paraplegic, or quadriplegic. These simple and affordable devices enable them to effectively express their needs and interact with their environment. Traditional communication boards often present accessibility challenges due to restrictive placement and ergonomic constraints. This prototype integrates a motorized folding mechanism, so the board can be stowed when not in use and includes a selection of boards that can be swapped out. It is designed to enhance the usability and accessibility of communication boards while maintaining the width and mobility of the wheelchair. The prototype incorporates …

Multi-Scale Computational Mechanical Modeling Of Complex Multi-Phase Materials Systems, Naji Al-Mashrafi

Theses and Dissertations--Chemical and Materials Engineering

This thesis employs finite-element–based computational methods to investigate how microstructural features and material heterogeneity govern mechanical behavior across three distinct complex systems. First, the elastic response of open-cell metallic foams is analyzed using large ensembles of model RVEs generated with the Kentucky Random Structures Toolkit (KRaSTk); finite-element homogenization reveals that effective stiffness is not dictated by relative density alone, as the skewness of ligament-length distributions—captured by the second Pearson’s coefficient—exerts a strong and previously unrecognized influence, with structures enriched in short load-bearing ligaments exhibiting consistently higher stiffness even at fixed density and connectivity. The second study examines heterogeneous polycrystalline solids …

Metallic Nanoparticles And Cosmetics: The Role Of Mitochondria And Premature Aging, Veronica Montesinos-Cruz, Justin Olmanson

Department of Teaching, Learning, and Teacher Education: Faculty Publications

The cosmetic industry has developed and commercialized numerous products using new technologies, making them increasingly appealing to the public. The use of metallic nanoparticles (MtNPs) as key ingredients in cosmetics has become more widespread due to their demonstrated benefits. However, the use of these products remains controversial, as some studies have shown that MtNPs can penetrate the deeper layers of the skin and disrupt homeostatic balance. It has also been demonstrated that the interaction between MtNPs and keratinocytes increases the generation of reactive oxygen species (ROS), which can lead to oxidative stress, a condition associated with premature aging. Mitochondria, as …

Sharing The Stage With The Future: Humans And Robots Together At Last, Donna L. Clevinger

Honors in Practice Online Archive

This essay presents a co-curricular collaboration bringing ancient comedy to a modern audience. Students and faculty at a large, public R1 university combine art and engineering to create a STEAM-based approach to theatrical production. The author describes how integrating classical text, creative expression, and transformational technologies demonstrates that collaboration between disciplines can produce gains for each, fostering advancements and human understanding that would be unattainable independently. Script writing, casting, stage production, and outcomes are presented.

The International Risk Governance Council: Reflections On A 20-Year Experiment In Support Of Improved Risk Governance, M. Granger Morgan, Marie-Valentine Florin, Igor Linkov, Kenneth A. Oye, Arthur C. Petersen, Ortwin Renn, Jonathan B. Wiener, Lan Xue

Faculty Scholarship

The International Risk Governance Council (IRGC) was a nonprofit foundation, based first as an independent, freestanding Swiss foundation in Geneva from 2003 to 2012, and then affiliated with École Polytechnique Fédérale de Lausanne in Lausanne from 2012 to 2023. IRGC's mission was to identify and improve the governance of emerging and systemic risks that have, or could have, impacts on human and environmental health, the economy and society, and overall sustainability. In this paper, we recount IRGC's history, describe its many reports, workshops, and conference activities (including tables referencing the many published products), and provide six brief case histories of …

Mapping Pilot Stress And Fatigue During Flight Sessions, Atandrila Chowdhury, Sudip Vhaduri, Julius Keller, Mark Wilson, Debra Henneberry

Discovery Undergraduate Interdisciplinary Research Internship

This study examined physiological and self-reported indicators of stress and fatigue in four student pilots during training flights at Purdue University. Each pilot wore a wrist sensor that recorded heart rate, electrodermal activity, temperature, and acceleration, and completed pre and post-flight ratings of stress, fatigue, and sleep questionnaire. The pilots flew different types of training sessions, providing variation in environmental and flight conditions. All physiological data were cleaned and standardized before analysis. Across pilots, temperature and electrodermal activity generally increased during flight, showing a gradual rise in arousal that can come from several factors, including heat, physical effort, and normal …