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An Integrated Pcb-Based Heating And Auto-Ranging Platform For Volatile Organic Compound (Voc) Detection Using Carbon Nanotube Based Sensors, Thomas Kalach

USF Tampa Graduate Theses and Dissertations

This thesis presents the development, characterization, and integration of a novel low-cost, high-dynamic-range sensor platform for the detection of volatile organic compounds (VOCs), leveraging the unique electrical properties of carbon nanotube (CNT) thin films. The platform introduces a fully integrated auto-ranging analog front-end circuit capable of real-time resistance measurement spanning over eight orders of magnitude ranging from tens of ohms to hundreds of megaohms, without compromising signal resolution or precision. This was achieved through a digitally controlled, multi-path feedback architecture and controllable current source.

To further enhance sensor performance, the system incorporates a copper trace heater beneath the sensor array, …

Using Serial Open Circuit Potentiometry To Study Ce And Gd Deposition In Molten Licl-Kcl Eutectic, Ranon G. Fuller, Guy L. Fredrickson, Devin Rappleye

Faculty Publications

The ability to electrochemically separate individual species in a pyrochemical reprocessing salt relies on first being able to detect a separation in their reaction potentials. This requires the ability to measure reaction potentials with extreme precision. In this work, we introduce a novel technique called serial open circuit potentiometry (SOCP) and demonstrate its effectiveness at precisely measuring metal deposition reaction potentials. SOCP has several advantages over traditional open circuit potentiometry, including its abilities to quantify the error of measured equilibrium potentials by averaging many individual OCP measurements, determine overpotential deposition nucleation potentials to instrument precision, and simultaneously determine the nucleation …

Synthetically Expressive: Evaluating Gesture And Voice For Emotion And Empathy In Vr And 2d Scenarios, Haoyang Du, Kiran Chhatre, Christopher Peters, Brian Keegan, Rachel Mcdonnell, Cathy Ennis

Conference papers

The creation of virtual humans increasingly leverages automated synthesis of speech and gestures, enabling expressive, adaptable agents that effectively engage users. However, the independent development of voice and gesture generation technologies, alongside the growing popularity of virtual reality (VR), presents significant questions about the integration of these signals and their ability to convey emotional detail in immersive environments. In this paper, we evaluate the influence of real and synthetic gestures and speech, alongside varying levels of immersion (VR vs. 2D displays) and emotional contexts (positive, neutral, negative) on user perceptions. We investigate how immersion affects the perceived match between gestures …

Detecting Polar Ring Galaxies Via Deep Learning, Fawad Kirmani, Anathavishnu S. Unnii, Varsha P. Kulkarni, Kyle Lackey, John R. Rose

Faculty Publications

Polar ring galaxies (PRGs) are peculiar galaxies that show a ring of stars, gas, and dust oriented roughly over the poles of the central ‘host’ galaxy (i.e. roughly orthogonal to the disc of the host galaxy). The formation models for these rings involve mergers or tidal interactions of the host galaxy with another galaxy. Although the identified PRGs look different from each other, they all have a ring that is not in the same plane as the disc of the host galaxy. Unlike in galaxies such as our Milky Way, where stars form in spiral arms, the rings exemplify an …

Improved Context For Llm Queries On Knowledge Graphs Using The Model Context Protocol, Talha Tahmid

2025 Fall Honors Capstones Projects - Archive

Large Language Models (LLMs) struggle on factual, relation-heavy questions without structured external knowledge. This thesis implements a standards-based pipeline that connects LLMs to Resource Description Framework (RDF) knowledge graphs through the Model Context Protocol (MCP). The system comprises an MCP tool that executes SPARQL against approved endpoints, an Natural Language (NL) to SPARQL step in which the LLM (ChatGPT) generates the SPARQL query using prompt-based templates, followed by a generation stage conditioned on the retrieved graph facts. Final experiments focus on the Rhea knowledge graph. We evaluated the same base model with and without MCP on a 50-question benchmark spanning …

Stochastic Modeling Of Electromagnetic Wave Propagation Through Extreme Dust Conditions In Underground Mines Using Vector Parabolic Approach, Emmanuel Atta Antwi, Samuel Frimpong, Muhammad Azeem Raza, Sanjay Madria

Mining Engineering Faculty Research & Creative Works

Post-disaster underground (UG) mine environments are characterized by complex and rapidly changing conditions, adding extra attenuation to propagating electromagnetic (EM) waves. One such complex condition is the extreme generation of dust and sudden rise in humidity contributing to extra attenuation effects to propagating waves, especially under varying airborne humidity and dust levels. The existing wave propagation prediction models, especially those that factor in the effect of dust particles, are deterministic in nature, limiting their ability to account for uncertainties, especially during emergency conditions. In this work, the vector parabolic equation (VPE) model is modified to include dust attenuation effects. Using …

Air Traffic–Collegiate Training Initiative Program Feasibility In Kentucky, Gayle Marks, Bryan Gibson

Kentucky Transportation Center Research Report

Each day, Federal Aviation Administration (FAA) air traffic control specialists (ATCSs) handle over 44,000 flights and oversee 29 million square miles of the United States National Airspace System. However, staffing shortages have grown more acute over the past 10 years, which has led to delayed and cancelled flights, a higher number of close misses over a short period of time, and frustrating air travel experiences. While the FAA has redoubled its efforts to recruit more ATCSs, it has limited training capacity. To expand training options available to prospective ATCSs, the FAA is working with postsecondary educational institutions to expand its …

Csc36000 - Modern Distributed Computing Assignment, Saptarashmi Bandyopadhyay

Open Educational Resources

This assignment covers standard performance metrics for Distributed Systems and the basics of Multiprocessing for CSC36000 - Modern Distributed Computing at the City College of New York CUNY. It is an interactive coding assignment intended to be executed in a Python notebook.

Integration Of Sco2 Brayton Cycles With Carbon Capture Systems, Nathan C. Stearns, Rajarshi Roy, Brian Schooff, Andrew Chiodo, Andrew R. Fry, Brian D. Iverson

Faculty Publications

Increasing global energy consumption and greater market penetration of intermittent energy sources require a baseline power source to enable renewable energies. Here, a case is made for pairing supercritical CO₂ Brayton cycles with carbon capture to create low-emission, high-efficiency, combustion-based power generation systems. Pairing carbon capture and storage (CCS) systems with supercritical carbon dioxide (sCO₂) Brayton cycles enables the reduction of greenhouse gas emissions in combustion systems, but with an associated energy cost. Three different representative models of CCS systems (oxyfuel combustion, amine scrubbing, and cryogenic carbon capture) are considered for pairing with an sCO2 Brayton cycle, …

Chemistry Of Inclusions By Size In Three Primary Copper Anodes, Charles Campbell, Michael Moats

Materials Science and Engineering Faculty Research & Creative Works

Three copper anodes from different commercial electro refineries were characterized to measure inclusion chemistry, size (diameter), and morphology. An automated scanning electron microscope (SEM) paired with energy-dispersive X-ray spectroscopy (EDS) was used to examine hundreds of inclusions near the mold and set sides of each anode. The investigation revealed that in the two anodes with less impurities (99.65% Cu and 99.75% Cu), many of the inclusions were Cu2O with an average diameter of 2 microns. The greater impurity anode (99.05% Cu, 4076 ppm Pb, 1939 ppm As, 635 ppm Bi) contained significant numbers of complex oxide inclusions, averaging 4.6 microns …

Selective Nickel Leaching And Preparation Of Battery-Grade Nickel Carbonate From Copper-Rich Industrial Intermediate, Janaka Jayamini Wijenayake, Michael S. Moats, Lloyd Masuzyo Mseteka, Lana Alagha

Materials Science and Engineering Faculty Research & Creative Works

The rising demand for electric vehicles (EVs) has driven a significant increase in nickel consumption, a critical element in EV battery production. An industrially viable hydrometallurgical process was developed for the selective recovery of nickel from a copper-rich industrial intermediate, containing approximately 70 wt.% Cu and 6 wt.% Ni, predominantly as sulfides alongside minor impurities. Approximately 90% of nickel was selectively extracted via single-stage atmospheric pressure leaching using HCl and H2O2 at 95 °C for 12 h, with the majority of copper retained in the leach residue, which can be utilized as a valuable feedstock for copper smelters. The selectivity …

Behind The Prompt: The Environmental Impact Of Llm Inference, Lucy Hegenderfer, Isaac Huang

College of Engineering Summer Undergraduate Research Program

As the size and demand for large language models (LLMs) increase, the environmental impact of computational inference often exceeds training; yet industry lacks a standardized method of calculating this expanding environmental footprint. Complexity arises with task-specific computational demands, infrastructure overhead, and various GPU architectures, making cross-model assessments burdensome. Combining environmental engineering and computer science principles by validating Jegham et al.’s meta-model, we predict the carbon emissions and water consumption during inference, providing metrics to raise user awareness of AI’s growing environmental footprint. Additional work supports integration into a multi-agent conversational system that encourages responsible scheduling and prompting, guiding the user …

Exploring Impact Of Student’S Proximity To Summer Camp And Demographics On Their Interests In Engineering, Yamil Balcells

College of Engineering Summer Undergraduate Research Program

EPIC is a one-week Cal Poly program where middle-and high-school students explore engineering through hands-on projects in a university setting. In partnership with the Migrant Education Program (MEP), EPIC reserves spots for migratory students and provides bilingual counseling and support. These services ensure equitable access and a welcoming environment for students developing English proficiency.

Building Pathways To Computer Science Careers For Latinx Students Through Multilingual Collaborative Block-Based Programming, Valerie Ponce, Priscilla Garcia

College of Engineering Summer Undergraduate Research Program

The underrepresentation of Latinx students in computer science highlights the need for innovative and inclusive educational approaches. This project addresses challenges such as limited access to educational resources and the demand for multilingual learning tools by developing a co-located, collaborative, game-based programming environment. Designed for use on phones, tablets, and laptops, this tool supports English, Spanish, and Mixtec, facilitating broader engagement. By promoting peer collaboration and interactive learning, our approach challenges traditional notions of solitary programming and reinforces the idea that expertise is shared, fostering an inclusive and equitable learning environment.

Performance Dashboard Design For Radiologists: Highlighting What Matters & Fostering Improvement, Trevor Knotts, Jemma Simpson, Coleman Hawkins

College of Engineering Summer Undergraduate Research Program

TurboRad has developed a system with proven results that streamlines radiology report creation and improves radiologist productivity. A study performed in 2023 found that “the advanced macro-button toolbar system has great correlation for both lower report completion times and increased wRVU productivity. The benefits of the toolbar system are most evident in the simpler XR reports. Though they are simpler to read and complete reports, the greater quantity of XR reports contributes to a greater overall wRVU completion rate throughout the day as radiologists can spend more time on more complex examinations and reports” (Chow, Speece, & Holtzman, 2024). Since …

Building Pathways To Computer Science Careers For Latinx Students Through Multilingual Collaborative Block-Based Programming, Cis Garcia, Noemi Corona Calvario

College of Engineering Summer Undergraduate Research Program

The underrepresentation of Latinx students in computer science highlights the need for innovative and inclusive educational approaches. This project addresses challenges such as limited access to educational resources and the demand for multilingual learning tools by developing a co-located, collaborative, game-based programming environment. Designed for use on phones, tablets, and laptops, this tool supports English, Spanish, and Mixtec, facilitating broader engagement. By promoting peer collaboration and interactive learning, our approach challenges traditional notions of solitary programming and reinforces the idea that expertise is shared, fostering an inclusive and equitable learning environment.

0894: G. W. “Jerry” Sutphin River Transportation Collection, 1832-2024, Marshall University Special Collections

Guides to Manuscript Collections

Gerald W. “Jerry” Sutphin was a nationally recognized river historian from Huntington. He graduated from Mullens High School and Marshall University and became an army officer. Sutphin worked for and retired from the United States Army Corps of Engineers before spending twenty years operating his own business, Visual Information Ltd. The author of Sternwheelers on the Great Kanawha River, he also wrote a number of articles and contributed to numerous publications with words and/or photographs. Sutphin provided historical presentations on the Delta Queen and other large sternwheel excursion boats and served as a consultant for several documentaries and exhibits. Sutphin …

Validation And Trend Analysis Of Satellite-Derived Surface Water Temperature Observations Over Adirondack Lakes, Marzi Azarderakhsh, Carolien Mossel, Abdou Rachid Bah, Aisha Malik, Fahmeda Khanom, Jonathan Borrelli, Pete Mcintyre, Hamidreza Norouzi, Kevin Rose

Publications and Research

This study aims to validate and evaluate satellite remote sensing observations from the Landsat series over 135 lakes in the Adirondack State Park, located in upstate New York, and to examine their surface temperature trends over the past 40 years. It utilizes data from the Moderate Resolution Imaging Spectroradiometer (MODIS), along with Landsat 5 and 7. Park-scale results were derived by extracting MODIS surface temperatures within the park boundary, while lake-scale results were estimated using Landsat 5 (1984-2012) and Landsat 7 (1999-2023) observations. In addition, field observations were utilized to perform a comprehensive validation and evaluation of satellite-based surface temperature …

Aminated Phenolated Lignin For Effective Anionic Dye Removal For Water Remediation, David Chem, Samantha Glidewell, Fatema Tarannum, Keisha B. Walters

Chemical Engineering Faculty Publications and Presentations

Lignin, a renewable biopolymer sourced from plant cell walls, is gaining attention due to its extensive availability from natural resources, native functional groups, low cost, and biodegradability in various applications. In recent years, lignin and its derivatives have been utilized as adsorbents, flocculants, and sterilants in a broad range of applications, including wastewater treatment and sustainable packaging. The growing global demand for clean water-driven by rapid industrialization, urban expansion, and agricultural intensification-has made effective wastewater treatment a pressing environmental priority. In this effort, a dual-functionalization strategy to transform raw lignin into a high-performance adsorbent for the removal of hazardous anionic …

Electrode Engineering To Minimize Degradation In Lithium-Sulfur Batteries, Saheed Adewale Lateef

Theses and Dissertations

Lithium-Sulfur (Li-S) batteries have recently received significant attention as a potential candidate for next-generation energy storage technology. This is due to its high theoretical capacity (1675 mAh/g) which can provide theoretical energy density of 2500 Wh/kg as compared to 400 Wh/kg of the current Lithium-ion batteries. Moreover, the earth-abundant sulfur element as well as its environmental friendliness endows unique advantages on the cost and environmental impact. However, there are several roadblocks that need to be addressed for commercial adoption of Li-S batteries, such as: (i) poor conductivity of sulfur and its discharged product; (ii) solubility of lithium polysulfides and their …

Mems 4110: Improving Restaurant Efficiency: Automatic Egg Peeler, Shanice Isimbi Mutabazi, Kyle Bryant Okui, Max Ari Siefert, Lani Fancesca Espinel

Mechanical Engineering Design Project Class

Neon Greens is a salad restaurant in St. Louis, MO that focuses on serving fresh, locally sourced ingredients. One of their signature menu items includes soft and hard-boiled eggs, which are used in large quantities every day. Currently, these eggs are peeled by hand, which can be slow, inconsistent, and difficult to keep up with during busy hours. Because of this, Neon Greens needs a faster and more reliable way to peel eggs without increasing labor. Our project aims to design a device that can peel eggs automatically, reduce prep time, and stay safe and easy to clean in a …

The Effect Of Fascicular Elastin On The Mechanical And Functional Properties Of Healthy, Damaged, And Healing Tendon, Shawn Pavey

McKelvey School of Engineering Graduate Student Theses & Dissertations

Mechanical properties of tendon are highly influenced by structural protein composition and microscopic sub-structures. Within the largest subunit of tendon, the fascicle, the role of the elastin protein remains understudied despite impressive extensibility and fatigue resistance of its resulting elastic fibers. While previous work catalogued contributions of fascicular elastin across tendon type and species, the anticipated effects of elastin in fatigue and healing have not yet been explored. While previous knockout mouse models showed that disruption of elastic fibers led to altered mechanical properties (e.g., increased linear modulus), these models depended on heterozygous elastin deficiency or indirect knockout of proteins …

Mems 4110: Asme Challenge, Jon Cossman, Jonathan Young, Nate Nowel

Mechanical Engineering Design Project Class

The goal of this project was to design and assemble a remote controlled device for a competition that can maneuver through a course, collect trash units from 3D-printed trash bins, and bring them to a receptacle at the end of the course. Important factors to consider in the design involved ensuring it followed traffic laws through the course, making sure it could operate multiple times, and fit within price and space constraints. Prototypes were tested against the ability to deliver 75 percent of trash units within 5 minutes, 50 percent of trash units within 5 minutes without any traffic violations, …

Mems 4110: Egg Peeler Group L1, Brian Hau, Alex Kenn Lee, Aisha Bah, Shanaelle Nabatmama

Mechanical Engineering Design Project Class

Neon Greens is a quick-serve salad concept located in St. Louis, MO. Part hydroponic farm and
part restaurant, they focus on growing a majority of their greens in-house, and emphasize
transparency in food systems.
In recent months, they added a ‘Protein Caesar’ salad to the menu. That salad features two
‘jammy’ boiled eggs which are cut in half. Staff at Neon Greens steam eggs precisely in their
Combi oven and shock them to stop the cooking process. They then peel those eggs by hand.
On some days, they must process >100 eggs, which can take up to 1.5 hours of …

Mems 4110: Interactive Racecar Dynamics Exhibit, Leonardo Gomes, Hunter Rocker, Joseph Norris, Jack Coode

Mechanical Engineering Design Project Class

Visitors at science museums often struggle to understand how launch speed, lane choice, and banked-curve dynamics influence a car’s trajectory. Existing educational exhibits rarely provide repeatable measurements or clear physics demonstrations. This project addresses that gap by creating an interactive racecar dynamics exhibit with a controlled launcher, 3D-printed banked track geometry, and optical timing gates. The goal is to give users measurable feedback on velocity, lane behavior, and motion through a 31° banked turn while maintaining safety, durability, and fast reset time for continuous hands-on learning.

Mems 4110: Rapid Drink Chiller, Aidan F. Moriarty, John Babineau, Levi Gingerich, Quinn Close

Mechanical Engineering Design Project Class

The purpose of this document is to outline the purpose and function of the rapid drink chiller device. This device is designed to replace traditional portable drink cooling methods, such as traditional styrofoam coolers, fridges, etc. Traditional methods require the transport and inclusion of ice, and require overly long cooling times, with the exception traditional fridges which are non-portable. The rapid drink chiller is designed to be light and compact in order to maximize transportability, accomplished via an all foam insulation construction around a waterproof box. The box is filled with a water-ethanol solution which is cooled to extremely low …

Mems 4110: Dbf Banner, Pachie Ackerman-Bennett, Joshua Paul Laue, Nazifa Younus

Mechanical Engineering Design Project Class

The DBFBanner is a project made for the WashU Design / Build / Fly club. After interviewing DBF club president Sarah Donner, we interpreted the club’s needs as: (1) a banner that could achieve vertical stability in flight; (2) the banner could deploy and release remotely; (3) the banner and associated components were as light as possible. We went through several design iterations, including mathematical and CAD models, mockups, prototypes, and testing apparatus. Many designs were considered, including designs based on linear motion and collapsible trusses. We arrived at a design that used a servo motor to rotate a 3D-printed …

Mems 4110: Precise Water Distribution System, Morelia R. Reyes-Perez, Jp Torack, Jakob Ayala

Mechanical Engineering Design Project Class

This project focuses on designing and prototyping an automatic precise watering system to support plant research conducted in the Washington University greenhouse. The customer, graduate student Christina Youngpeter, needs a reliable method for delivering accurately measured water volumes to individual plants as part of a study on hydration effects. Manual watering can be time consuming, our system will provide a programmable, repeatable, and low maintenance solution.

Mems 4110: Asme Waste Collection Challenge, Leslie Alfaro, Cathy Zhao, Bari Diamond, Obike Anwisye

Mechanical Engineering Design Project Class

For this project, our goal was to design and build a remote-controlled wastecollection robot that could pick up trash bins and deliver their contents to a dumpsite while staying within the strict rules of the ASME challenge. The robot had to fit inside a 50 cm cube, drive through six-inch lanes, follow traffic rules, and be fully controlled by a six-channel RC controller. These constraints shaped almost every decision we made throughout the design process.

Mems 4110: N1 Precise Water Distribution System, Lillian Salter, Ye Huang, Elaine Wang, Joy Luo

Mechanical Engineering Design Project Class

The aim of the project is to construct a precise water distribution system for anthropology graduate student Christina Youngpeter, who is studying the impact of hydration levels on the growth of quinoa plants. As her experiment grows in scale, she increasingly needs a system that can measure and distribute water for her, saving hours otherwise spent meticulously measuring water for 36 plants and counting. The system must measure water accurately and distribute it to the plants cleanly and efficiently. It should also be scalable and autonomous, requiring minimal human intervention.