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Air Force Institute Of Technology Research Report 2023, Air Force Institute Of Technology

AFIT Documents

This report summarizes the research activities of the Air Force Institute of Technology's Graduate School of Engineering and the Graduate School of Logistics and Acquisition Management. It describes research interests and faculty expertise; list student theses/dissertations; identifies research sponsors and contributions; and outlines the procedure for contacting either school.

Degradation Of Cobalt Chrome Molybdenum Hip And Knee Implants In Vivo And In Vitro, Peter William Kurtz

All Dissertations

Cobalt Chrome Molybdenum (CoCrMo) remains a popular material choice for femoral condyles in total knee arthroplasty and for acetabular liners in dual mobility total hip designs. CoCrMo has been phased out of conventional THA designs due to its correlation with adverse effects such as ALTR and ALVAL. It is less understood if the mechanisms (i.e. abrasive wear to the surface of the implant) that release metal ions into the surrounding tissue occur at similar rates as seen in conventional THA. Additionally, it is unknown what effect the secondary damage modes such as electrocautery damage and adhesive wear have on these …

Power Distribution Controller For Formula Sae Vehicles, Michael Yuen

Electrical Engineering

The Power Distribution Controller (PDC) is designed for low-voltage (12V) automotive applications, specifically Formula SAE vehicles. It aims to replace the current and outdated MOSFET-based system, which suffers from inefficiencies such as lossy current sense resistors and limited configurability. Instead, this new system uses a PROFET-based architecture controlled over the Controller Area Network (CAN) and an updated microcontroller, enabling intelligent power management and data logging.

Designed with FSAE regulations in mind, the PDC not only enhances the reliability of low-voltage systems but also provides a quickly adaptable solution to fuse boxes. It achieves this by providing firmware-adjustable overcurrent protection, incorporating …

Property Management System, Abbas Kurnool

Electronic Theses, Projects, and Dissertations

The real estate industry generates and manages large amounts of data, including tenant information, lease agreements, property maintenance schedules, and financial transactions. Reliance on traditional manual methods often results in inefficiencies, fragmented data, and delays in decision-making. To overcome these challenges, this project presents the design and implementation of a Real Estate Property Management System (REMS) for Future Properties, a company aiming to optimize its operations through digital transformation.

The proposed system is developed on Microsoft Dynamics 365 as the core platform, integrated with the Microsoft Power Platform tools (Power Apps, Power Automate, and Power Pages). This integrated framework provides …

Performance Study Of A Woody Downdraft Gasifier: Numerical Investigation And Experimental Validation, Md Sanowar Hossain, Showmitro Bhowmik, Mujahidul Islam Riad, Md Golam Kibria, Barun K. Das, Sanjay Paul

Research outputs 2022 to 2026

Biomass gasification is an established and widely utilized renewable energy system. The research work aims to develop and construct a downdraft gasifier to investigate gasifier performance. The gasifier’s performance and cold gas efficiency were calculated for three volumetric airflow rates: 7.16 m3/h, 5.97 m3/h, and 4.78 m3/h. The efficiency was found maximum of 69.6% for an airflow rate of 7.16 m3/h. The oxidation zone and neck region of the gasifier reactor had the maximum recorded temperatures of 845 °C and 823 °C for Swietenia macrophylla (SM) and Mangifera indica (MI), respectively. A two-dimensional computational fluid dynamics (CFD) model for a …

Using Hydraulic And Hydrologic Modeling To Determine Scour At Toro Creek Under Climate Change Conditions, Gabriel E. Alaniz

Master's Theses

ABSTRACT

This study evaluates bridge scour at the Toro Creek crossing of Highway 1 in Morro Bay, California, under present conditions and future climate conditions with more frequent extreme rainfall events. California infrastructure is becoming increasingly vulnerable to extreme storm events and increased intense precipitation events brought by climate change. This analysis focuses on the calculation of scour for both the northbound and southbound spans. Highway 1 plays a vital role in California’s coastal transportation infrastructure by carrying more than 20,000 vehicles daily (Caltrans, 2017). In this thesis, a hydrological model (HEC-HMS) is used to simulate runoff under present-day and …

G2pdeep-V2: A Web-Based Deep-Learning Framework For Phenotype Prediction And Biomarker Discovery For All Organisms Using Multi-Omics Data, Shuai Zeng, Trinath Adusumilli, Sania Zafar Awan, Manish Sridhar Immadi, Dong Xu, Trupti Joshi

Biomedical Sciences

Multi-omics data offers rich insights into complex traits across organisms, yet integrating and analyzing these datasets for phenotype prediction and marker discovery remains challenging. Researchers need accessible tools that combine deep learning, hyperparameter optimization, visualization, and downstream analysis in a unified web platform. To address this, we developed G2PDeep-v2, a web-based platform powered by deep learning for phenotype prediction and marker discovery from multi-omics data across a wide range of organisms, including humans and plants. The server provides multiple services for researchers to create deep-learning models through an interactive interface and train these models using an automated hyperparameter tuning algorithm …

Llm-Powered Question Answering For Object States In Virtual Reality, Shiyi Ding

Master's Theses

Recent advances in large language models (LLMs) and multimodal large language models (MLLMs) enable natural language–based querying in virtual reality (VR). However, VR environments are highly localized, personalized, and dynamic, making it challenging for general-purpose models to answer environment-specific queries or reason about subtle object state changes. To address these challenges, this thesis develops two systems for 3D question answering in VR.

First, we present RAG-VR, the first retrieval-augmented 3D question-answering system designed for VR. RAG-VR augments an LLM with external knowledge retrieved from a localized knowledge database and includes a pipeline for extracting environmental and user-related information. To improve …

Polydopamine-Coated Magnetic Nanoparticles Data, William G. Pitt

ScholarsArchive Data

This data archive contains raw data and processed data related to research and development of magnetic nanoparticles that adhere to bacteria. This data is the foundation of data in the MS thesis of Bowen Houser, and publications and presentations related to that research effort. Polydopamine-coated magnetic nanoparticles are found to be very adhesive to gram-positive bacteria, and less adhesive to gram-negative bacteria. These data files contain information for S. aureus, S. epidermidis, S. mutans, E. coli, P. aeruginosa, and N. perflava. Some data include the kinetics of capture.

Data Release Of 5-Fluorouracil From Polylactic Acid Microparticles Containing Magnetic Nanoparticles, William G. Pitt

ScholarsArchive Data

This data archive contains raw data and processed data related to research and development of the release of the chemotherapy drug 5-fluororacil from microparticles of poly(lactic acid) which also contain superparamagnetic magnetite nanoparticles. This data is the foundation of data in the MS thesis of Tyler Green, and publications and presentations related to that research effort.

Reinforcement Learning Based Security Schemes For Distributed Ai Systems, Ashan Chamath Gunawardena

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Distributed machine learning (DML) is a component of modern intelligent systems, enabling collaborative training across devices such as mobile clients, vehicles, and edge networks. However, the decentralized nature of these systems introduces vulnerabilities, particularly data poisoning attacks that compromise model integrity and degrade performance. Traditional defenses, such as statistical filtering, robust aggregation, and privacy-preserving techniques, often struggle to adapt to overwhelming adversaries or operate under strict privacy and real-time constraints. This dissertation proposes the use of reinforcement learning (RL) and deep reinforcement learning (DRL) based misbehavior detection schemes that dynamically identify poisoning attempts in distributed AI systems, including federated learning, …

Ethical Decision-Making Processes In Authentic Environmental Engineering Contexts Through Systems Thinking And Team Collaboration Lenses: An Embedded Single Case Study, Toluwalase Eniola Brower

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Ethical and professional responsibility is a critical learning outcome emphasized in ABET accreditation. However, ethics instruction in engineering education often lacks integration of system-level considerations such as economic, environmental, and societal contexts, that are essential for developing engineering solutions that ensure the safety and welfare of diverse stakeholders. This embedded single-case study investigated the integration of authentic ethics instruction within a junior-level environmental engineering course at a Midwestern U.S. university during spring 2025 and explores how civil engineering student teams within the course engage in ethical decision-making process during authentic problem-solving.

The instructional intervention consisted of four problem-based ethics modules, …

Rapid State-Of-Health Estimation Of Batteries Using Machine Learning With Limited Eearly-Discharge Voltage Data, Mohammad Bakhtiari

Durham School of Architectural Engineering and Construction: Dissertations, Theses, and Student Research

The utilization of lithium-ion batteries has been rapidly expanding across diverse sectors, including electric transportation, stationary energy storage systems, and the built environment. Ensuring a high level of reliability in these applications is essential, as the performance and safety of such systems depend strongly on the accurate assessment of the battery’s State of Health (SOH). Conventional SOH estimation techniques—often based on complex electrochemical models or extensive laboratory testing—tend to require a large number of measurements, advanced instrumentation, and high computational cost. These factors make them impractical for large-scale deployment or real-time monitoring. This study introduces a simplified machine-learning-based approach for …

Utilizing Diatoms In Wastewater Treatment For Pollutant Removal, Ceaira D. Howard

All Graduate Theses and Dissertations, Fall 2023 to Present

Wastewater treatment systems are increasingly challenged by a complex mix of pollutants including excess nutrients, organic dyes, and persistent chemicals like per- and polyfluoroalkyl substances (PFAS). Conventional treatment technologies often struggle to effectively and affordably remove these contaminants. This study explores the use of two diatom species, Phaeodactylum tricornutum and Navicula cryptocephala var. veneta, both single-celled microalgae with silica-based cell walls, as an environmentally sustainable approach to tertiary wastewater treatment. Diatoms offer dual functionality through surface adsorption properties and metabolic flexibilities, making them promising candidates for integrated treatment strategies.

To test the trophic flexibilities of diatoms, P. tricornutum was …

Lace Network Firmware: A Polarfire Fpga Network For Data Routing And Command Interfacing In Space Applications, Kade C. Howes

All Graduate Theses and Dissertations, Fall 2023 to Present

Modern small spacecraft rely on powerful yet efficient onboard compute devices to process data from sensors in real-time due to tight power and volume constraints. This work explores a new compute device system built from PolarFire Field-Programmable Gate Arrays (FPGAs), which are power-efficient, reprogrammable chips well-suited for space applications. The system connects via a central controller FPGA with one or multiple companion processing FPGAs, allowing sensor data to be quickly received and shared across the network. Standardized data formats and interfaces increase compatibility with spacecraft computers. By simplifying data handling and using high-speed communication links, this architecture makes it easier …

Dendrimer Gel Nanoparticles With Dual-Targeting Of Upar And Ribonucleotide Reductase R2 Influence Necrosis, Apoptosis, And Cell Cycle Arrest In Triple-Negative Breast Cancer, Hsin Yin Chuang, Yue-Wern Huang, Hu Yang

Biological Sciences Faculty Research & Creative Works

Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with limited treatment options due to the absence of estrogen (ER), progesterone (PR), and human epidermal growth factor receptor 2 (HER2) receptors. We previously developed highly adaptable polyamidoamine (PAMAM) dendrimer-based gel nanoparticles (GDP-uPA/GTI) with dual-targeting capabilities against urokinase-type plasminogen activator receptor (uPAR) and ribonucleotide reductase R2 (R2) to achieve selective antitumor effects. In this study, we investigated the underlying mechanisms of GDP-uPA/GTI-induced tumor inhibition. In vivo, GDP-uPA/GTI significantly downregulated R2 expression and activated caspase 8 and caspase 3, indicating caspase-dependent apoptosis. Histological evaluation of major organs revealed no observable toxicity. …

Integrating Neural Control And Finite Element Muscle Modeling: A Predictive Neuromusculoskeletal Framework For Investigating Neurodegenerative Disease, Colton Babcock

Boise State University Theses and Dissertations

Neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) disrupt the interplay between neural control and musculoskeletal function, leading to progressive motor decline and loss of force control and production. Traditional experimental and clinical approaches are limited in their ability to capture the multiscale, nonlinear mechanisms driving these impairments. This dissertation presents a novel predictive neuromusculoskeletal (NMS) modeling framework that integrates physiologically accurate motor neuron dynamics with three-dimensional finite element (FE) muscle models. Using subject-specific muscle geometry and fiber architecture of the tibialis anterior, the model simulates realistic force generation under both healthy and ALS-affected conditions. The neural component incorporates a …

Harnessing The Mechanical And Gelation Behavior Of Tyramine-Substituted Silk Fibroin Bioinks Through Integration Into A Modular And Low-Cost 3d Bioprinting Platform, Sourjjadeepta Biswas

Boise State University Theses and Dissertations

3D printing has become an indispensable tool in research labs across the globe. Yet, when it comes to bioprinting with custom or sensitive bioinks, accessible options remain limited. Commercial systems are often prohibitively expensive and restricted to proprietary materials, while DIY setups frequently lack the precision and compatibility needed for biologically relevant printing. Moreover, tunable bioinks that align with real-world biological constraints are still hard to come by. To address these gaps, we developed a modular, low-cost bioprinting platform tailored for tyramine-substituted silk fibroin (TA-SF) hydrogels-biocompatible materials known for their rapid gelation, tunable stiffness, and potential to support cell differentiation …

A Machine Learning Approach To Estimating Agricultural Return Flows: A Case Study Of The Twin Falls Canal Company In Idaho, Kendra Alise Figgins

Boise State University Theses and Dissertations

Idaho is the third largest water user in the United States due to its extensive agriculture industry (Murray, 2018). Irrigation has allowed farmers to take advantage of the warm climate and rich soils of the Eastern Snake River Plain to develop one of the nation’s most productive agricultural regions. This area now contains one-third of Idaho’s irrigated acres (Idaho Department of Water Resources, 2024). It also contains critical hydrologic connections between the Snake River and the Eastern Snake Plain Aquifer.

Farming practices in Idaho have gradually shifted over time. Warming temperatures and increased irrigation efficiency are allowing an expansion of …

Sustainability Assessment Of Ground Improvement Techniques: A Life Cycle Analysis Of Lime, Cement, Geopolymers And Biopolymers For Roadway Application, Jillian R. Frost

Boise State University Theses and Dissertations

Ground improvement design (GID) is a vital part of constructing safe, long-lasting infrastructure. Traditionally, this is done with a chemical additive such as lime or cement that is mixed with in-situ soil to improve soil parameters such as compressibility, and strength. These stabilizers produce high amounts of carbon emissions. As a response, engineers and researchers are beginning to develop new stabilization methods using biopolymers and geopolymers in hopes of achieving comparable soil stability results as well as reduced environmental impacts.

This thesis work integrates a life-cycle analysis (LCA) and life-cycle-cost-analysis (LCCA) framework to evaluate and compare four soil stabilizer types: …

Evaluation Of High Concentration Dissolved Oxygen Delivery On Wastewater Treatment Plant Performance, Gregor Ethan R. Posadas

Boise State University Theses and Dissertations

Microorganisms are used in wastewater treatment plants (WWTPs) to transform constituents and depend on dissolved oxygen (DO) for growth. Limitations in traditional treatment methods pose inefficiencies in performance relative to constituent removal. This study involved monitoring the performance of a selected WWTP located in Greenleaf, Idaho that was retrofitted with a high concentration DO delivery system. The WWTP was selected due to its small scale (classified as a minor discharge facility with a design flow <1 MGD) and capability of being retrofitted with a high concentration DO delivery system proprietary to BioSolution Holdings Co., Ltd. This study aimed to monitor the effects of delivering higher DO concentrations in the WWTP in conjunction with validating the performance and function of the retrofitted high concentration DO delivery system. The performance of the selected WWTP was monitored over the course of one year to capture seasonal fluctuations.

Significant changes in WWTP constituent treatment induced by higher DO concentrations were observed at various points within the treatment processes. Monitored parameters included DO, temperature, …

Harnessing Bioscaffold-Coupled Stimulation Through Electroactive Graphene Foam For Enhanced Cellular And Mechanical Responses: Applications In Cartilage Tissue Engineering, Mone't Sawyer

Boise State University Theses and Dissertations

Osteoarthritis is a leading cause of joint degeneration, with limited treatment options that fail to restore native cartilage. Tissue engineering offers a promising strategy by combining cells, scaffolds, and bioactive cues to regenerate functional tissue, though challenges remain in developing systems that integrate and precisely control these signals in three-dimensional environments. This work establishes a scaffold-coupled electrical stimulation (ES) platform using electroactive graphene foam (GF) to modulate cellular and mechanical responses relevant to cartilage tissue engineering. Custom stereolithography-printed bioreactors were developed to deliver low-voltage biphasic square waves (20–60 mVpp, 1 kHz) directly to GF scaffolds under submerged culture, maintaining waveform …

Stimulation And Recording Interfaces For Data Transmission To And From A Micro Neural Stimulation Device, Morgan Riley

Boise State University Theses and Dissertations

Advancements in neuromodulation for treating neurological disorders increasingly rely on selective peripheral nerve stimulation rather than whole-nerve activation. Traditional approaches engage all fascicles, causing off-target effects such as involuntary muscle contractions and pain. To address these challenges, this research proposes a minimally invasive microdevice that integrates wireless galvanic impulse communication with an epineural multi-contact nerve cuff. This design facilitates high-throughput, low-power stimulation, recording, and data transfer. Development efforts include optimizing neural stimulation protocols, validating deep tissue galvanic transmission, and fabricating a multi-channel nerve cuff for stable electrode–tissue interfacing. In parallel, custom depth-controlled intramuscular arrays enable high-density electromyography (EMG) recording during …

The Road To Regulation: A Literature Review Of The Influences On The Updated Silica Standards, Skye M. Medcraft

Capstone Experience: Master of Public Health

Silica is a hazardous compound that poses a risk to human health resulting from dust creating activities across various industries. Several agencies, including OSHA (Occupational Health and Safety Administration) and MSHA (Mine Safety and Health Administration) have adopted regulatory oversight of silica exposure in the workplace. As more research has been conducted on silica exposure, the health effects are becoming better described, which has led to the creation and updating of exposure regulations to protect worker health. The objective of this literature study is to review the data presented to the Department of Labor and discuss how the factors that …

Design And Testing Of A Vr Escape Room Game For Philippine Martial Law History, Eric Cesar Vidal, Jr., Johanna Marion R. Torres, Jesus Alvaro Pato, Kenneth King L. Ko

Department of Information Systems & Computer Science Faculty Publications

This paper presents a Virtual Reality Educational Escape Room game where players learn about the highly divisive Martial Law period in Philippine history. We describe the game’s general design and the results of a user test to evaluate the game in terms of VR presence, immersion, and overall usability.

User Evaluation Of A Virtual Patient For Philippine Medical Education, Ma. Mercedes T. Rodrigo, Samantha Castaneda, James Alvir Maclin V. Alaan, Paolo Santino P. Caoile

Department of Information Systems & Computer Science Faculty Publications

Caladrius is a virtual patient system designed for use in Philippine medical schools. It responds to the need for medical interview training, for greater variety in teaching-learning strategies, and for culturally appropriate technologies. It has two versions: a text-only version whose interface is similar to a chat interface, and an audio version that accepts speech input and responds with speech output. In a prior test of Caladrius, users requested improved audio response time and the inclusion of different patient personalities. A subsequent version of Caladrius was created to comply with these requests. As much of the lag was attributable to …

Investigating The Performance Of Fibre Reinforced Plastic Repairs To Timber Marine Civil Structures At His Majesty’S Naval Base Devonport, Anna G. Walther

The Plymouth Student Scientist

This paper explores Fibre Reinforced Plastics (FRPs) as a composite repair method to restore and enhance mechanical properties of timber marine civil structures within the context of His Majesty’s Naval Base (HMNB) Devonport. To support this, timber composite specimens were manufactured and subjected to flexural and compressive strength tests. Comparisons are made to literature sources for initial predictions, in addition to hand calculations and Finite Element Analysis (FEA) models on SolidWorks. Data demonstrates that FRPs can be used as a cost-effective and beneficial method of repairing timber marine structures. Experimental data demonstrates an ability to restore compressive strength parallel to …

Application And Suitability Of Using Paraffin Wax In A Thermal Store For Residential Buildings In The Uk, Cameron Edwards

The Plymouth Student Scientist

Heating costs and pressure to reduce carbon emissions are rapidly increasing. A possible solution is the implementation of efficient energy storage systems for UK residential buildings. Paraffin wax-based thermal energy storage offers a promising solution due to its low-cost, high-energy density, and long-term stability. However, its low thermal conductivity significantly reduces its practicality. Multiple upgrades, such as implementing highly conductive particles and nanotubes, have been previously studied but lack the inclusion of cost-effectiveness and real-world feasibility. This paper reviews current research and develops a numerical model using the Enthalpy method and a 2D finite difference approach, utilised in Python. It …

Ai-Driven Electromagnetic Design And Performance Prediction Of Microstrip Antennas, Eduardo Javier Vazquez

Theses and Dissertations

This thesis investigates the application of Deep Learning to automate and accelerate microstrip antenna inverse design. The initial investigation was to predict microstrip antenna performance from its geometry parametric input, and found out that forward prediction with adopted geometric representation results in ill-posed scenario, high ambiguity and unstable mapping. The study later mostly focuses on the inverse prediction by machine learning from S11 parameter input to predict antenna patch geometry parameters instead.

A dataset of 5,000 ANSYS HFSS simulated antennas (later filtered to 4,136 valid samples) was generated using cubic spine -described geometry profiles. Multiple neural architectures were adopted for …

Development And Testing Of A Prototype Erbium-Doped Lithium Tantalate Based Sensor For Infrastructure Crack Detection And Measurement, Alejandro Barrera

Theses and Dissertations

Ensuring the safety and longevity of infrastructure is crucial to safeguarding communities and preserving economic stability. In this study, the development of a novel sensor for detecting and characterizing cracks in infrastructure, particularly suited for deployment on Unmanned Aerial Vehicles (UAVs), is presented. The device utilizes a laser (operating at 980 nm) for excitation of erbium-doped lithium tantalate nanoparticles that emit 1550 nm wavelength, which stimulates a photodiode for data collection. The data was utilized to collect, process, and reconstruct topological information. The synthesized lithium tantalate nanoparticle samples vary in erbium doping percentages of 0.5%, 3%, and 10%. Experimental evaluation …