Digital Commons Network^™

Engr 330: Application Of Microcontrollers And Iot Devices, Section 101, Amit Patel

School of Applied Engineering and Technology Syllabi

No abstract provided.

Met 103: Introduction To Engineering Technology Design, Section 001, Sahidur Rahman

School of Applied Engineering and Technology Syllabi

No abstract provided.

Met 103: Introduction To Engineering Technology Design, Section 103, Mark Lanfrank

School of Applied Engineering and Technology Syllabi

No abstract provided.

Met 302: Analysis & Design Of Machine Elements Ii, Section 103, Sahidur Rahman

School of Applied Engineering and Technology Syllabi

No abstract provided.

Met 301: Analysis & Design Of Machine Elements-I, Section 001, Samuel Lieber

School of Applied Engineering and Technology Syllabi

No abstract provided.

Met 103: Introduction To Engineering Technology Design, Section 011, Suman Jaiswal

School of Applied Engineering and Technology Syllabi

No abstract provided.

Mnet 315: Industrial Statistics, Section 101, Edwin May

School of Applied Engineering and Technology Syllabi

No abstract provided.

Engr 101: Analytical Methods For Engineering Applications, Section 001, 003, 005, 007, David Lubliner

School of Applied Engineering and Technology Syllabi

No abstract provided.

Cim 310: Concrete Products And Delivery, Section 101, Ricardo Arocha

School of Applied Engineering and Technology Syllabi

No abstract provided.

Cet 331: Structural Systems, Section 101, Zachary Porcello

School of Applied Engineering and Technology Syllabi

No abstract provided.

Met 103: Introduction To Engineering Technology Design, Section 005, Joseph Beshay

School of Applied Engineering and Technology Syllabi

No abstract provided.

Cim 205: Concrete Properties & Testing, Section 101, Mohab Hussein

School of Applied Engineering and Technology Syllabi

No abstract provided.

Met 105: Applied Computer Aided Design, Section 103, Ramy Shamroukh

School of Applied Engineering and Technology Syllabi

No abstract provided.

Mnet 420: Quality Systems, Section 101, Edwin May

School of Applied Engineering and Technology Syllabi

No abstract provided.

Met 415: Automatic Control Systems, Section 103, Majd Awad

School of Applied Engineering and Technology Syllabi

No abstract provided.

Met 303: Applied Thermodynamics, Section 451, Angelantonio Tafuni

School of Applied Engineering and Technology Syllabi

No abstract provided.

Frsc 359-003: Physical Methods Of Forensics, Kevin Parmelee

Chemistry, Environmental and Forensic Science Syllabi

No abstract provided.

Biol 635-101: Intro To Comp Neuroscience, Horacio Rotstein

Biology Syllabi

No abstract provided.

Biol 432-101 Introduction To Computational Neuroscience, Horacio Rotstein

Biology Syllabi

No abstract provided.

Chem 336-101: Quantum Chemistry, Farnaz Shakib

Chemistry, Environmental and Forensic Science Syllabi

No abstract provided.

Frsc 359-001: Physical Methods Of Forensics, Kevin Parmelee

Chemistry, Environmental and Forensic Science Syllabi

No abstract provided.

The Global Phase Space Of The Three-Vortex Interaction System And Its Application To Vortex-Dipole Scattering, Atul Anurag

Dissertations

This dissertation presents a global reduction of the classical three-vortex problem that is free from coordinate singularities, enabling a comprehensive analysis of the system's dynamics across all circulation regimes.

To achieve this, a two-step symplectic reduction procedure is developed. The first step introduces Jacobi coordinates adapted to the symplectic structure of the vortex system, and the second applies a Lie-Poisson reduction to the resulting system. This formulation eliminates the non-physical singularities associated with collinear vortex configurations and facilitates a global phase space analysis, including a detailed and novel investigation of bifurcations.

Within this reduced framework, all relative fixed points are …

Robust Ai Solutions For Financial Markets Through Generative Modeling, Dynamic Graph Learning, And Reinforcement-Based Portfolio Optimization, Jingyi Gu

Dissertations

Financial markets are inherently uncertain and dynamic, driven by complex factors such as macroeconomic signals, investor sentiment, and evolving inter-asset relationships. While machine learning has advanced financial modeling, existing approaches often fall short in addressing the real-world intricacies of finance. This dissertation confronts two critical challenges, human-driven stochasticity and risk-intensive decision-making under real-world trading constraints, while seizing a pivotal opportunity, the structural dynamics of evolving financial systems. These elements are foundational to advancing robust and practical financial intelligence.

To this end, this dissertation develops a unified framework for robust financial modeling and decision-making. The framework is architected as a progressive, …

Large-Scale Graph Algorithms And Applications With An Emphasis On Fintech Data, Fuhuan Li

Dissertations

Graph algorithms are essential analytical tools with applications spanning cybersecurity, biology, social media, and increasingly, financial technology (FinTech). The complex and interconnected nature of financial data, particularly in cryptocurrency networks, presents unique opportunities for graph-based analysis in fraud detection and anomaly identification.

This dissertation presents the design and implementation of scalable graph algorithms tailored for large-scale networks, with particular emphasis on FinTech applications. The primary contributions include: (1) novel cover-edge based triangle counting algorithms that significantly reduce computational overhead through breadth-first search preprocessing, achieving substantial speedups over traditional methods and dramatic communication reduction in distributed settings, (2) optimized parallel implementations …

Bodipy-Based Photocages For The Controlled Release Of Hydrogen Sulfide And Persulfides, Yanmei Li

Dissertations

Reactive sulfur species (RSS) such as hydrogen sulfide (H2S) and hydropersulfides (RSSH) are crucial mediators in a variety of physiological and pathological processes. Their regulatory roles span from maintaining cellular redox balance to influencing signaling pathways critical for homeostasis and stress responses. This dissertation investigates H2S and RSSH as biologically important molecules and explores the development of boron-dipyrromethene (BODIPY)-based photocages for its controlled, light-triggered release. Given H2S and RSSH's critical role in redox regulation and cellular protection, achieving spatiotemporal control over its delivery is essential for both therapeutic and research applications. BODIPY scaffolds offer favorable photophysical properties, including visible-light activation …

Reduced Order Models Of Hydrodynamically Interacting Flapping Wings, Jose Pabon

Dissertations

Fish schools exhibit a collective behavior and self-organization that is mediated by hydrodynamic interactions between individual fish. However, the long-time evolution of hydrodynamically interacting collectives is challenging to investigate due to the persistent influence of long-lived vortical structures, and the high-resolution requirements of direct numerical simulation at large Reynolds numbers. Reduced-order models have therefore played an important role in theoretical investigations of collectives of swimming bodies. The main results detailed herein are several new reduced-order models of swimmers that self-propel by flapping, i.e., by executing a prescribed periodic rigid body motion. The models are extensions of a discrete-time dynamical system …

Harnessing Graphs For Knowledge Representation In Natural Language Processing, Uras Varolgunes

Dissertations

This work proposes innovative methods for integrating domain-specific knowledge into natural language processing tasks through the use of graphs, aiming to enhance the performance of models across various domains, including finance and healthcare. Several novel approaches are proposed that fuse graph structures with modern deep learning techniques, addressing the challenges of missing word embeddings, label prediction, and graph representation learning for large language models.

First, a powerful embedding method built on top of the recent advances in latent graph learning is introduced to address the critical problem of word embedding imputation. Second, a graph-enhanced label attention model designed for medical …

Optimizing Hip And Knee Assistance For Walking And Sit-To-Stand Transitions: An Intrinsic Muscle Mechanics Based Predictive Approach, Neethan Ratnakumar

Dissertations

As the global population ages, the demand for wearable assistive technologies continues to rise, driven by their potential to enhance mobility and independence in older adults. Effectively designed controllers for lower-limb exoskeletons to assist sit-to-stand (STS) and walking are crucial for delivering efficient, safe, and comfortable assistance during daily activities. Traditionally, controller optimization involves biomechanical modeling and user-specific customization. Musculoskeletal simulations play a central role in this process by providing insights into human-exoskeleton interaction dynamics, thereby informing and refining control strategies.

This work presents a simulation-driven approach for developing exoskeleton controllers for walking and STS using two distinct methods: optimal …

Development And Implementation Of Novel Mass Spectrometric Methods For Metabolism Studies In Drug Discoveries, Huifang Yao

Dissertations

The field of drug discovery has evolved significantly over the past few decades, with a growing emphasis on understanding the metabolic pathways and biotransformation processes that influence the pharmacokinetics and pharmacodynamics of drug candidates. Novel mass spectrometric methods have emerged as powerful tools in this domain, facilitating the comprehensive analysis of metabolic profiles and enabling the identification of metabolites with implications for safety, efficacy, and overall drug development. However, challenges remain in quantifying metabolic flux—an essential aspect of understanding drug action—particularly due to the limitations of traditional isotope kinetic assays, which often involve lengthy sample preparation and the use of …

Multi-Messenger Diagnostics Of The Origin And Transport Of Solar Energetic Particles, Meiqi Wang

Dissertations

Impulsive solar energetic electron events (SEEs) are a common phenomenon originating from the Sun. They are characterized by rapid onset and brief duration, and are commonly associated with solar flares. Solar radio bursts, which offer a rich variety of diagnostic tools for solar activities, exhibits a close relationship with impulsive solar energetic electron events. Such diagnostics are particularly powerful when combined with multi-wavelength remote sensing and in situ observations. The dissertation focuses on combining state-of-the-art microwave imaging spectroscopy data obtained by the Expanded Owens Valley Solar Array (EOVSA) with other multi-messenger observations to investigate the origin of impulsive solar energetic …