Digital Commons Network^™

Evaluation Of Electroencephalography Processing Methods For Estimating Metabolic Energy Expenditure During Walking, Stephanie L. Pinelo

Graduate Studies Theses and Dissertations 2026

In this study, three EEG datasets, created via different levels of pre-processing, were used to train VO2 prediction models whose performance was tested and compared. Understanding the link between EEG and VO2 during walking is important when working in rehabilitation or studying metabolic energy optimization. Common methods of measuring these two bio-signals tend to be bulky, uncomfortable, and inefficient, so finding a way to predict VO2 from EEG via 1D CNN model training is a worthy pursuit.  It was hypothesized that, due to a CNN needing more data to find patterns for prediction, a minimally processed EEG dataset would have …

Adaptability And Applications Of Advanced Laser Absorption Diagnostics In High-Pressure Shock Tube Environments, Lucas R. Pitts

Graduate Studies Theses and Dissertations 2026

Theoretical application and physical implementation of various laser absorption spectroscopy (LAS) diagnostics are examined within a high-pressure shock tube facility. Research focuses on the rationale behind the specific optical alignment layouts used across three distinct experimental campaigns, detailing the methodology required to maintain signal integrity in varied reacting flow environments. The first research campaign addresses the pyrolysis of hydroxyl terminated polybutadiene (HTPB) solid propellant binders for solid fuel ramjet (SFRJ) applications by measuring the species time histories of alkenes and aromatics. Alignment configurations prioritized beam stability and signal strength for the decoupling of overlapping absorption features to ensure measurements accurately …

Examining Attrition In Rtms For Smoking Cessation: The Roles Of Perceived Research Burden And Delay Discounting, Miranda Proctor

Graduate Studies Theses and Dissertations 2026

This secondary analysis examined predictors of attrition in a randomized clinical trial conducted by Roswell Park Comprehensive Cancer Center evaluating repetitive transcranial magnetic stimulation (rTMS) for cigarette smoking cessation. Smoking cessation reduces cancer risk and mortality and improves mental health outcomes. Although rTMS shows promise for supporting sustained abstinence by targeting neurobiological mechanisms underlying nicotine dependence, participant attrition threatens statistical validity, reduces power, and limits generalizability. Identifying predictors of attrition is therefore critical for optimizing trial design and retention.

Research examining predictors of attrition in smoking cessation trials remains limited. Prior work in other clinical populations suggests that higher perceived …

A Sensory Ecology Of Fear: Moonlight-Mediated Predation Risk And Foraging Behavior In Neotropical Electric Fish, Chiu Lok Poon

Graduate Studies Theses and Dissertations 2026

Animals must forage to acquire energy for survival and reproduction, yet foraging exposes them to predators. This creates a trade-off between energy intake and safety, wherein the perception of predation risk alone can alter activity patterns. Within this trade-off, risk, energetic needs, and sensory adaptations vary, shifting the balance and favoring different foraging strategies. Using Neotropical electric fish as a study system, I investigated how foraging under predation risk is shaped across biological scales, including environmental dynamics, interspecific sensory differences, activity-timing mechanisms, and intraspecific variations. These nocturnal fish emit continuous electric signals to sense their environment, allowing non-invasive monitoring of …

Study Of Compressibility Of Flames In Scramjet Combustors, Anirudh Ranganathan

Graduate Studies Theses and Dissertations 2026

Viable forms of propulsion for practical hypersonic flight are of great interest in modern times, of which supersonic combustion ramjets(scramjets) are a very advantageous option. Compared to ramjets, which are severely limited by increasing total pressure loss and dissociation effects, scramjets offer a much more efficient form of propulsion in the Mach 6 – 8 regime. Despite this, a common and unmitigated issue facing scramjet technology is scramjet unstart.

Prior investigations researching scramjet unstart have elucidated global heat release considerations in relation to total fueling or combustion modes as a result of global heat release . Minimal work has been …

Old Maps Of The New World & New Theories On The European Encounter With La Florida: An Historical Archaeological And Four Field Anthropological Approach To Peter Apian's Cosmographia (1575), Emerson S F Richards

Graduate Studies Theses and Dissertations 2026

This thesis examines the 1575 Spanish edition of the Cosmographia, a geographic textbook initially authored by Peter Apian and expanded by Gemma Frisius, as a source for anthropological inquiry into early European encounters with the Americas. Little attention has been given to the text’s potential as a source for anthropological analysis, particularly regarding its representations of the Americas and the cultural information embedded in the geographic data. This study addresses that gap by applying a Four-Field anthropological framework—cultural, biological, linguistic, and archaeological—to this edition, which incorporates excerpts from Ieronimo Girava’s qualitative and quantitative description of the Americas, including a …

Design And Characterization Of A Jet Nozzle Using Particle Image Velocimetry, Valerie K. Rodriguez

Graduate Studies Theses and Dissertations 2026

This paper presents the design and experimental characterization of the jet exit velocity from a supersonic nozzle injecting into a low-pressure vacuum chamber using Particle Image Velocimetry (PIV). The PIV method is employed to overcome limitations encountered in prior experiments characterizing a jet-in-crossflow, such as qualitative shock visualization and insufficient data on jet exit properties. The previous set of experiments used Classical Schlieren to visualize the flow as well as emission measurement with IR detectors. For the fuel injection cases, particular emphasis is placed on preventing condensation within the injection line and at the nozzle exit due to under expanded …

Monitoring Shifts In Estuarine Microbial Communities: A Dna-Metabarcoding Approach, Ashley M. Reaume

Graduate Studies Theses and Dissertations 2026

Estuarine microbial communities, including plankton, algae, and bacteria, play important roles in nutrient cycling and food web structure. They are sensitive to changes in abiotic conditions, and shifts in community composition can provide insight into estuarine ecosystem functioning in the face of various physiochemical and anthropogenic stressors. Therefore, monitoring these communities is essential for understanding and maintaining estuarine health. DNA metabarcoding is an emerging technique for enhancing biological monitoring, allowing for the detection of multiple species within a single sample. This dissertation first focuses on how methodological decisions impact DNA metabarcoding results and then implements these optimized methods to perform …

Shock Tube Speciation Analysis Of Hydrocarbon Mixtures Relevant To Solid Fuel Combustion, Diego N. Ruiz Pena

Graduate Studies Theses and Dissertations 2026

Solid Fuel Ramjets (SFRJs) are often used in tactical applications due to their simplicity, robustness, and reliability. No moving parts, atmospheric oxidizer usage, and scalable fuel grain designs make them a great solution for compact, high-speed air-breathing propulsion systems. SFRJs operate by compressing incoming air through a fixed geometry inlet and directing it over a regressing solid fuel surface, where pyrolysis gases are released and transported downstream to the combustion chamber where thrust is generated. Hydroxyl-terminated polybutadiene (HTPB) is a commonly used fuel binder in SFRJ systems due to its high energy density, stable combustion behavior, and ease of processing. …

Defect-Guided And Energy-Driven Unfolding With Learning-Based Strategies: From Geometries With Compact Refolding To Garments, Shah Wasif Sazzad

Graduate Studies Theses and Dissertations 2026

Unfolding and folding are related geometric and mechanical transformations fundamental to structural applications. Particularly, unfolding curved surfaces is important for deployable structures, garment pattern generation, etc. A central challenge is minimizing geometric distortion between a surface and its unfolded counterpart avoiding overlaps. As regions of lower Gaussian curvature typically produce less distortion during flattening, identifying curvature distribution becomes essential. Topological defects in a particle assembly on a surface in its minimum interaction-energy configuration indicate regions of concentrated curvature. In this work, an unfolding method is proposed that segments the surface using defects' location. Cutlines connecting the defects isolate lower curvature …

Exercise-Induced Muscle Swelling And Impedance Changes Of The Elbow Flexor, Sofea Smith

Graduate Studies Theses and Dissertations 2026

Electrical impedance myography (EIM) is a non-invasive method that assesses body fluid distribution using impedance (Z), resistance (R), reactance (Xc), and phase angle (PhA). These values have previously been used to interpret cellular health and fluid shifts. Acute muscle edema known as a “pump,” has been reported during and after resistance training exercise and the extent to which bioelectrical properties of the muscle tissue are affected during this process remains relatively unexplored. Therefore, the purpose of this study was to assess changes in EIM during exercise-induced muscle swelling via resistance training. Thirty-one resistance-trained adults (male=21, female=10; age=23.4±6.5 years, BMI=26.17±3.04 kg/m2) …

Thermomechanical Modeling Of Transpiration Surfaces For Hypersonic Propulsion, Spencer D. Smith

Graduate Studies Theses and Dissertations 2026

Hypersonic flight vehicles are a promising form of high speed passenger transport and efficient space access architectures. However, they are fundamentally a thermally limited technology. High heat fluxes exceeding 10 MW/m2 and gas temperatures between 3000-4000K can be found both within the engine, and on the outer surface. Current conventional engineering materials are non-viable at these conditions. In order to make these materials viable, active cooling strategies could be utilized. One particularly promising type is transpiration cooling, where a coolant is diffused through a porous surface. Although researched heavily in the 1960s, adoption is still minimal. Part of the reason …

Required Learning, Voluntary Service: A Critical Look At Mandatory Cle And Pro Bono Options, Rima Sirota

Georgetown Law Faculty Publications and Other Works

This chapter critically examines the intersection of mandatory continuing legal education (MCLE) and pro bono service in the United States, focusing on the growing practice of awarding MCLE credits for pro bono work. It argues that MCLE, widely justified as promoting lawyer competence, rests on a striking lack of empirical support and is structured in ways that undermine effective professional learning. A pro bono option for earning MCLE credit, introduced as an incentive to expand access to justice, has similarly failed to demonstrate measurable impacts on pro bono participation. Nonetheless, the pro bono option holds untapped potential because, if properly …

Exploring Barriers And Facilitators Of Mental Health Treatment For Law Enforcement Officers: The Impact Of Police Occupational Culture, April Reed

Graduate Studies Theses and Dissertations 2026

Prior research has explored the impact of police culture on mental health stigma among law enforcement, however, a deeper understanding about how different aspects of police culture may inhibit or facilitate mental health treatment utilization is needed to inform policy and practice. This dissertation explores the relationship between police culture and mental health using a qualitative research design. Twenty-five (n=25) law enforcement officers from a county sheriff’s office in Central Florida were interviewed and participant observations were conducted during a three-month period. The present study sought to address the following research questions: What are the experiences of the job and …

Integrated Design And Trade Study Of A Sub-Ambient Ammonia Fuel Storage And Delivery System For Narrow-Body Commercial Aircraft, Ethan Taylor

Graduate Studies Theses and Dissertations 2026

This study develops an integrated design framework for a sub-ambient anhydrous-ammonia fuel storage and delivery system for narrow-body commercial aircraft, using the Boeing 737 MAX 8 as the baseline platform. Ammonia was selected because it contains no carbon in its molecular structure, benefits from an established global production and distribution infrastructure, and offers more practical storage conditions than several alternative carbon-free energy carriers. However, its relatively low energy density, toxicity, material-compatibility requirements, and combustion hazards require substantial modifications to power conventional commercial aircraft fuel storage and delivery systems.

The study proposes an integrated design and initial analysis of a sub-ambient …

“I Call For The Resurgence And Reclamation Of Our Indigenous Ways”: Institutional Landscapes, Resistance, And The Experiences Of Mmir Advocates, Sara Tehrani

Graduate Studies Theses and Dissertations 2026

Indigenous Peoples across Turtle Island experience disproportionately high rates of violence and homicide compared to other racial groups. Rooted in coloniality and sustained by Western institutions, this epidemic is recognized as the Missing and Murdered Indigenous Relatives (MMIR) crisis. In response, Indigenous women have mobilized the MMIR Movement to raise awareness and advocate for institutional change. Although scholarship on MMIR has expanded, limited research has explored the experiences of MMIR advocates. This study interrogates the institutional landscapes that shape MMIR advocacy and explores the resistance strategies advocates employ to address the crisis. Using reflexive thematic analysis, this study examines semi-structured …

Online Risk And Harm For Marginalized Users: How Social Influence Amplifies Or Mitigates Vulnerability, Tangila Islam Tanni

Graduate Studies Theses and Dissertations 2026

Social media has reshaped how people connect, communicate, and influence one another, yet these environments also create harms that disproportionately affect marginalized users. Participation in online communities can expose users to identity-based harassment, emotional distress, and the normalization of harmful attitudes, shaping identity, well-being, and participation online and offline. Prior work has documented many forms of online harm, yet less is understood about how harmful norms and behaviors are reinforced across different forms of social media interaction, from private direct messages to online communities. Guided by the Social Ecological Model, this dissertation investigates how online harms toward marginalized users emerge …

Teachers’ Perceptions Of School Leaders’ Role In Implementing The Four Pillars Of Community Schools For Improving Student Achievement, Adrian Irwin Thomas

Graduate Studies Theses and Dissertations 2026

This study examined teachers’ perceptions of school leaders’ roles in implementing the Four Pillars of Community Schools to support Student achievement in under-resourced schools. The four pillars of Community Schools- Integrated Student Support, Expanded Learning Time and Opportunities, Family and Community Engagement, and Collaborative Leadership and Practices- served as the conceptual framework for the study. Distributed Leadership Theory and Epstein’s Framework of Parental Involvement provided the theoretical lens that guided the interpretation of the findings. The study explored teachers’ perceptions of leadership practices associated with the four pillars and identified leadership strategies perceived as most effective for sustaining the community …

Puff, Puff, Pass? Examining Cannabis Use Among Black American Adults, Christopher B. Walker

Graduate Studies Theses and Dissertations 2026

In the United States, cannabis has become one of the most widely used controlled substances due to its increase in social acceptance, the growing number of states legalizing it for medical and non-medical purposes, and the expansion of consumption methods.  However, little is known about the modes of cannabis use chosen by Black American adults.  This population is of importance due to existing research suggesting their increased risk of developing cannabis use disorder compared to their White counterparts and their underrepresentation in existing literature.  The goal of this study is to examine cannabis use among Black adults in the U.S., …

Investigation On Selective Catalytic Reduction For Retrofit Of Commercial Aviation Aircraft Engines, Connor M. Wall

Graduate Studies Theses and Dissertations 2026

As the aviation industry continues to grow, the ever-increase of emissions from the sector becomes a growing concern. While the International Civil Aviation Organization (ICAO) set a goal of net-zero carbon emissions by 2050, there are other emissions like contrails and NOx that must still be addressed. Selective Catalytic Reduction (SCR) has been used in the transportation and power generation industry for over two decades and has been an effective solution for NOx reduction. Even with the success SCR has had in other industries, its capabilities in the aviation industry have been trivially investigated. Aircraft engines pose an unique challenge …

Volumetric Fluorescence Microscopy For High-Throughput And High-Sensitivity Imaging: From Single Molecules To Tissues, Le-Mei Wang

Graduate Studies Theses and Dissertations 2026

Fluorescence microscopy is an indispensable tool in the biological sciences, enabling researchers to investigate intricate subcellular structures, particularly for volumetric studies. However, conventional optical microscopy for volumetric imaging remains fundamentally constrained by imaging speed and throughput. To bypass traditional serial z-scanning, we introduce an axially scan-free method using a phase layer cake to modulate the system's point spread function. This approach projects volumetric information onto a 2D plane in a single shot, offering high flexibility in tuning axial depth alongside simultaneous multicolor imaging with high spatial resolution and sensitivity. This dissertation divides these technical advancements into cellular and tissue imaging …

Advanced Ysz/Si(B)Cn And Bnnt/Si(B)Cn Ceramics Matrix Composites For Extreme Environments In Hydrogen Combustion, Yiting Wang

Graduate Studies Theses and Dissertations 2026

The growing demand for carbon-neutral energy conversion has accelerated the development of hydrogen-fueled gas turbine systems, which operate at significantly higher temperatures and more chemically aggressive environments than conventional natural gas turbines. To meet these stringent requirements, ceramic matrix composite (CMC) materials consisting of yttria-stabilized zirconia (YSZ) fiber reinforced Si(B)CN ceramic matrix were developed. To further enhance in-plane heat dissipation, thermal stability, thermal shock resistance, and thermal cycling performance, a Si(B)CN/Boron Nitride Nanotubes (BNNT) nanocomposite coating was incorporated onto the YSZ/Si(B)CN composites. Microstructural characterization confirmed the formation of a continuous Si(B)CN ceramic matrix reinforced with uniformly distributed BNNTs. The resulting …

Switching Things Up: Investigating The Costs Of Switching Between Tasks Of Varying Interdependence And Factors That Influence These Transitions, Taylor A. Wilhelmy

Graduate Studies Theses and Dissertations 2026

Though researchers have indicated that there is a high probability teams will transition between tasks of varying interdependence (Benishek & Lazzara, 2019; Mesmer-Magnus et al., 2016), there is a need to further examine this idea (Smith-Jentsch, 2015; Mesmer-Magnus et al., 2016) as few have actually studied it. Expanding upon Moon et al. (2004), this study examines the costs associated with transitioning between two tasks of varying levels of interdependence (i.e., pooled and team interdependence; Saavedra et al., 1993), how these costs vary depending on the order the tasks are engaged while examining how team cognition (i.e., transactive memory systems) and/or …

Comparative Assessment Of Energy And Emission Costs For Geothermal Heat Pumps And Fossil-Fuel Heating Systems Across U.S. Climatic Zones, Md Shahin Alam, Shima Afshar, Seyed Ali Arefifar, Mohammad Haq

Electrical & Computer Engineering Faculty Publications

In response to growing concerns over global warming and energy sustainability, transitioning from fossil-fuel-based heating systems to renewable alternatives is essential. This study evaluates the economic and environmental performance of geothermal heat pumps for building heating and compares it with conventional coal-fired boilers, natural-gas boilers, and diesel furnaces. Using the heating degree-day (HDD) method, heating energy demand was analyzed for four U.S. cities—Anchorage (AK), San Francisco (CA), Salt Lake City (UT), and Las Vegas (NV)—representing diverse climatic zones. The analysis integrates thermodynamic and economic parameters, including the coefficient of performance (COP = 2–5) and annual fuel-utilization efficiency (AFUE = 80–97%), …

Photobiomodulation Mitigates The Inhibitory Effects Of Pirfenidone On Cancer-Associated Fibroblasts And Their Pro-Tumorigenic Properties: A Cause For Concern, Nima Rastegar-Pouyani, Alireza Nasirpour, Fatemeh Javani Jouni, Hossein Vazini, Ahmad Moshaii

Electrical & Computer Engineering Faculty Publications

Cancer-associated fibroblasts (CAFs) within the tumor microenvironment highly contribute to cancer progression and poor prognosis. Recent findings introduce pirfenidone, a medication for pulmonary fibrosis, as a promising repurposed candidate for inhibiting CAFs. Moreover, photobiomodulation (PBM), or low-level laser therapy, has surfaced as a potential modality against cancer; however, its impact on CAFs is not thoroughly comprehended. The present study scrutinized the effects of PBM, pirfenidone, and PBM+pirfenidone on CAFs, and their consequent impact on cancer cells using the CAF-conditioned media. After treating CAFs with PBM at wavelengths 660 and 980 nm with/without PFD and then culturing cancer cells in the …

Digital Twin Technologies For Battery Systems: Advancements, Applications, And Future Directions, Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard

Electrical & Computer Engineering Faculty Publications

The relationships among deep learning, edge computing, artificial intelligence (AI), and the most recent advancements in digital twin (DT) technology for battery energy storage systems are discussed in this paper. The study highlights the need for improved cloud-edge coordination, AI model development, and stronger cybersecurity features by demonstrating real-world applications of digital twin technology in electric vehicles (EVs), aircraft, and grid storage. It also described DT-based structures for fault detection, real-time monitoring, and optimization through standardization and battery management system (BMS) fusion. Because DT-based solutions for distributed energy resources (DERs) offer improved energy management systems, various studies have been conducted …

Gem-Can: A Real-World Dataset Of Can-Bus Attack Scenarios On An Autonomous Vehicle For Intrusion-Detection Research, Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Ali Karimoddini, Tienake Phuapaiboon, Milad Khaleghi, Daniel Tobias

Electrical & Computer Engineering Faculty Publications

This paper presents GEM-CAN, a labelled Controller Area Network (CAN) dataset captured from an autonomous GEM e6 platform under both normal operation and controlled cyber-attack conditions.

The dataset contains ∼143 K frames comprising (i) ∼ nominal autonomous operation (∼100k messages), (ii) DoS floods using arbitration ID 0 × 00000000 (∼41 K messages), and (iii) data-tampering injections that reuse legitimate IDs for brake and steering-lock (∼1.3 K messages). Each record includes timestamp, arbitration ID (11/29-bit), DLC, eight payload bytes, and a Normal/Attack label. A companion metadata file enumerates attack windows, PCAN bus-load traces, bitrate, and test conditions. Data were collected with …

Interpretable Battery Soh Prediction: A Comparative Interpretability Framework For Multi-Architecture Ml Models, Shafiyee Islam, Gon Namkoong

Electrical & Computer Engineering Faculty Publications

This work introduces a unified interpretability-efficiency framework for lithium-ion battery state of health (SOH) prediction using hybrid deep learning architectures. We comparatively analyze four hybrid models: CNN LSTM MultiHead, CNN Feature Extractor LSTM, DNN LSTM, and DNN BiLSTM to disentangle how network topology, feature composition, and computational design influence both predictive fidelity and physical interpretability. By integrating Monte Carlo Shapley (MC Shapley), background occlusion SHAP (BoSHAP), and ablation analysis, we quantify the contribution and robustness of five electrochemical feature groups: time, capacity, voltage, dQ/dV and peaks of dQ/dV from NASA battery dataset. The results reveal a consistent dominance of differential …

Generative Ai-Driven Optimization In Flexible And Reconfigurable Manufacturing Systems, Salah Hammedi, Hicham Chaoui, Lotfi Nabli

Electrical & Computer Engineering Faculty Publications

Flexible and Reconfigurable Manufacturing Systems (FRMSs) are essential for coping with variability in modern production environments; however, efficient scheduling and rapid reconfiguration remain challenging. This paper presents a hybrid optimization framework that integrates Colored Petri Net (CPN) modeling with Generative Artificial Intelligence (GenAI) to enhance scheduling performance and system adaptability. The CPN formalism ensures verifiable modeling of system dynamics, while a transformer-based generative model produces candidate scheduling and reconfiguration strategies. Simulation experiments were conducted under static, dynamic, and adaptive scenarios, including machine breakdowns and dynamic job arrivals. Performance was evaluated using makespan, mean flow time, machine utilization, and reconfiguration latency. …

Generalized Inverter Fault Detection Using Normalized Current Features And A Lightweight Bilstm Network, Mohammad Zamani Khaneghah, Mohamad Alzayed, Hicham Chaoui

Electrical & Computer Engineering Faculty Publications

Fault detection and diagnosis of three-phase inverter-fed motor drives is essential for ensuring system reliability, safety, and continuous operation in applications such as electric vehicles and industrial automation. This paper proposes a data-driven fault detection framework based on normalized current features and a lightweight bidirectional long short-term memory (BiLSTM) network which can be generalized to different motor power rating in the same controller system. A compact set of six time-domain features, consisting of the mean and root-mean-square (RMS) values of the phase currents, is extracted and normalized with respect to the average RMS value. This normalization effectively removes dependency on …