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Mech 237 - 101-103 Strength Of Materials, Eduardo Castro

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 320 - 002, 102: Fluid Mechanics, Thomas Olenik

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 360 - 103: Sustainable Civil Engr Mat, Marwa Korayem

Civil and Environmental Engineering Syllabi

No abstract provided.

Mech 234 - 003: Engineering Mechanics: Statics, Mohamad Saadeghvaziri

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 642 -851: Foundation Design, Matthew Riegel

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 332 - 101: Structural Analysis, Mohamad Saadeghvaziri

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 648 - 101: Flow Through Soils, Jay Meegoda

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 342 - 001, 003: Geology, John Schuring

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 321 - 001: Water Resources Engr, Thomas Olenik

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 321 - 101: Water Resources Engr, Nicole Del Monaco

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 711 - 851: Productivity In Constr, Alan Slaughter

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 431 - 103: Contruction Materials Lab, Stephen George

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 332 - 101: Structural Analysis, Sunil Saigal

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 350 - Hm1: Transportation Engr - Honors, Dejan Besenski

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 101 - 002, 004, 006: Ce Computer Aided Design, Stephanie Santos

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 200 - 102: Surveying, Allison Lapatka

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 200a - 001, 003, 101, 103: Surveying Lab, Allison Lapatka

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 210 - 001: Constrn Matrls & Procdrs, Frank Golon

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 210 - 003: Constrn Matrls & Procdrs, Fadi Karaa

Civil and Environmental Engineering Syllabi

No abstract provided.

Biol 432-101: Introduction To Computational Neuroscience, Horacio Rotstein

Biology Syllabi

No abstract provided.

Biol 635-101: Introduction To Computational Neuroscience, Horacio Rotstein

Biology Syllabi

No abstract provided.

Multi-Label Classification Using Conformal Prediction, Chhavi Tyagi

Dissertations

In many machine learning applications, such as image tagging, document classi-fication, and medical diagnosis, a data instance can be associated with multiple classes in parallel so that each instance is associated with multiple response variables simultaneously defining multi-label classification. Standard multi-label classification methods that provide point predictions have been developed. They lack in quantifying the uncertainty of predictions. These methods also lack in accounting for label dependencies and are very computationally expensive. This dissertation develops two methods of multi-label classification using conformal prediction that quantify the uncertainty of predictions. Chapter 1 introduces notations and tools that have been used in …

A Micromagnetic Study Of Skyrmions In Thin-Film Multilayered Ferromagnetic Materials, Nicholas J. Dubicki

Dissertations

Magnetic skyrmions are topologically protected, localized, nanoscale spin textures in non-centrosymmetric thin ferromagnetic materials and heterostructures. At present they are of great interest to physicists for potential applications in information technology due to their particle-like properties and stability. In a system of multiple thin ferromagnetic layers, the stray field interaction was typically treated with various simplifications and approximations. It is shown that extensive analysis of the micromagnetic equations leads to an exact representation of the stray field interaction energy in the form of layer interaction kernels, a so-called 'finite thickness' representation. This formulation reveals the competition between perpendicular magnetic anisotropy …

Enhancing Community Flood Resilience By Incorporating Landscape Hydrological Sensitivity And Connectivity, Wenlong Feng

Dissertations

Rapid urban expansion and dramatic climate change have significantly increased the intensity and frequency of floods worldwide. With rising flood risks, conventional flood defense strategies that rely on structural measures become ineffective. The present designations for flood-prone areas, such as FEMA's flood maps, are becoming unreliable. Flood risk management is shifting toward enhancing community flood resilience, highlighting the importance of non-structural approaches. Landscape resilience has become a foundation of community flood resilience. However, past urban development typically undermined natural hydro-ecological functions and landscape resilience because of poor recognition of landscapes' ecological role, hydrological sensitivity, and hydrological connections. This study aims …

Certifying Stability In Runge-Kutta Schemes: Algebraic Conditions And Semidefinite Programming, Austin Juhl

Dissertations

Numerical stability is a critical property for a time-integration scheme. In the context of Runge-Kutta methods applied to stiff differential equations, A-stability is one of the most basic and practically important notions of stability. Dating back to the work of Dahlquist, it has been known that A-stability is equivalent to the Runge-Kutta stability function satisfying a particular convex feasibility problem. Specifically, up to a transformation, the stability function lies in the convex cone of positive functions. In recent years, sum-of-squares optimization and semidefinite programming have become valuable tools in developing rigorous certificates of stability in dynamical systems. Therefore, it is …

Federated Learning Systems For Mobile Sensing Data, Xiaopeng Jiang

Dissertations

Federated Learning (FL) has emerged as a new distributed Deep Learning (DL) paradigm that enables privacy-aware training and inference on mobile devices with help from the cloud. This dissertation presents a comprehensive exploration of FL with mobile sensing data, covering systems, applications, and optimizations.

First, a mobile-cloud FL system, FLSys, is designed to balance model performance with resource consumption, tolerate communication failures, and achieve scalability. In FLSys, different DL models with different FL aggregation methods can be trained and accessed concurrently by different apps. In addition, FLSys provides advanced privacy-preserving mechanisms and a common API for third-party app developers to …

Data Driven Decision Making For Sustainable Planning And Operations Of Large Scale Networks, Bahareh Kargar

Dissertations

This dissertation explores data-driven decision-making networks, focusing on sustainable planning and operations for large-scale systems such as healthcare supply chains and power systems. One significant application in healthcare is the optimization of vaccine supply chains. An agent-based simulation-optimization modeling framework is developed to enhance the efficiency and sustainability of vaccine distribution. First, an agent-based epidemiological model of COVID-19 is extended to capture disease transmission dynamics and forecast the number of susceptible individuals and infections. Then, a sustainable vaccine supply chain considering the impacts of greenhouse gases is developed and integrated with the simulation model to minimize total costs and environmental …

Electrified Membrane For Water Treatment And Resource Recovery: Advancing Multiscale Strategies In Gas-Involving Reactions, Jianan Gao

Dissertations

Multifunctional, modular, and scalable water treatment technologies that operate without chemical additives are crucial for addressing global water pollution challenges. While traditional membrane-based separation processes are crucial for ensuring clean water supplies, they primarily focus on pollutant removal rather than on the upcycling of pollutants into valuable resources. Electrified membrane filtration presents a robust alternative, utilizing minimal or no chemical additives and harnessing electrical power to directly reduce contaminants or produce reactive oxidants or reductants on-site.

This dissertation is dedicated to the development of innovative electrochemically reactive membranes designed to address three major challenges: (1) the engineering of electrocatalysts with …

A Methodological Framework For Ontology Development, Enrichment, And Application In Natural Language Processing Tasks, Navya Martin Kollapally

Dissertations

Electronic Health Records (EHRs) have been widely used in healthcare to record demographics, vital signs, test results, immunizations, medical imaging reports, differential diagnoses, etc. It is now accepted that non-clinical (e.g., social) factors have a substantial influence on health outcomes. Hence, it is desirable to record these Social and Commercial Determinants of Health (SDoH & CDoH) in an EHR. The "non-text parts" of EHR notes (e.g., data tables) rely on coded terms from underlying ontologies or terminologies to facilitate semantic interoperability. Ontologies help define concepts, the relationships between them, and instances that can be utilized in research.

The first accomplishment …

Microwave Catalysis-Enabled Membrane Processes For Microbial Inactivation, Fangzhou Liu

Dissertations

The COVID-19 pandemic has highlighted the urgent need for advanced technologies to combat virus transmission. Traditional membrane filtration technologies primarily serve as physical barriers, capturing pollutants but failing to inactivate microbial agents such as bacteria and viruses. These membranes typically target larger particles but are ineffective against sub-micrometer viral particles. Thus, there's a critical demand for membrane filtration processes that combine robust filtration with antifouling and reaction -enabled functions for efficient pathogen disinfection. This research explores a novel microwave-assisted membrane filtration process incorporating catalytic reactions to enhance microbial disinfection and prevent membrane fouling, offering a groundbreaking solution to global challenges …