Engineering Commons^™

Development Of A Liquid Propellant Rocket Engine With Integrated Water-Based Cooling Jacket, Mauricio Bautista, Jesus Cortes, Christian Lopez, Hugo Robles, Will Owens, Josh Sutton, Jayden Pace, Shelby Enlow

Create@State

This projects describes the development of a liquid rocket engine with a metal casted cooling jacket. We test the system and provide simulation data for the project.

Bio-Inspired Materials And Metamaterials For Tunable Biomimetic Properties In Diverse Engineering Applications, Sandeep Suresh Babu

Thesis/ Dissertation Defenses

Nature has always played the role of a design cue for several targeted engineering applications, with designers attempting to mimic the characteristics of natural organisms to have significant advantages in the engineering performance cycle. This dissertation explores the relationship between bioinspired design parameters and material compositions in diverse engineering applications, ranging from mechanical energy absorption to tissue engineering applications. A two-fold objective was followed in the study, where the initial focus was based on the structural design of metamaterial lattices based on geometrical cues observed in the horn structure of bighorn sheep and cuttlebone microstructure of cuttlefish. The advances made …

Czts Nanoparticles As Cost Efficient Catalysts For Producing Green Hydrogen, Aidan Hau

Undergraduate Research Symposium (2026- )

Hydrogen gas is produced to be used as feedstock, fertilizer, and fuel. Traditional hydrogen production produces “gray hydrogen” in a process that uses and releases fossil fuels into the atmosphere. One way to produce “green” hydrogen is with renewable energy technologies that produce hydrogen gas using electrolysis without emitting fossil fuels. In electrolysis, the hydrogen atoms bonded to oxygen in a water molecule are split to produce hydrogen. A typical catalyst for this process would be a precious metal like palladium, which can be costly. In order to make green hydrogen production more affordable, an alternative catalyst composed of CZTS …

Design And Modeling Of A Piezoelectric Bimorph Energy Harvester For Automotive Structural Vibrations, Ali Abu Shawish

Thesis/ Dissertation Defenses

The focus of this thesis is on the design and modelling piezoelectric bimorph energy harvesters for vehicular utilization, particularly on harvesting energy from local structural vibrations of automotive components. The vibrations resulted from road–tire interaction and drivetrain dynamics offer the potential for harnessing electrical energy for low power electronic systems when coupled with low damping resonance harvesting devices. The main purpose of this thesis is to evaluate the potential of a piezoelectric bimorph cantilever tuned to 100–300 Hz local automotive structural vibrations for electrical energy harvesting, and to analyze its actual performance under realistic excitation conditions. The harvester's dynamic response, …

Effects Of Solvent Type, Storage Time, And Storage Temperature On Free Radical Stability And Concentration In Model Radical Systems And Complex Vegetable Oil Matrices, Rachid Ismail Daboussi

Thesis/ Dissertation Defenses

Free radicals are reactive species with unpaired electrons that occur and form within a range of biological, physical, and chemical systems. These highly reactive entities can interact with each other and/or with other molecules present in a mixture, often leading to significant changes in the system. Control over free radical concentration and free radical reactions is necessary in various fields depending on the aim of the process. For instance, free radical addition reactions play an essential role in the synthesis of polymers, where controlled radical behavior is necessary. However, in the thermal cracking of oil, free radical addition reactions are …

Evaluation Of Remote Sensing Soil Moisture Datasets In Arid Regions And Their Prospect For Leak Detection In Water Distribution Systems, Alaa Shakfeh

Thesis/ Dissertation Defenses

This thesis is concerned with the evaluation of satellite-based soil moisture (SSM) datasets in arid regions and their potential application to leak detection in water distribution systems. The work focuses on the SMAP Level-4 soil moisture product and a Sentinel-1 SAR-based (SAR4SM) retrieval framework, used in conjunction with in-situ observations from the International Soil Moisture Network (ISMN) and historical leak records from the Al Ain Distribution Network (AADC), currently part of TAQA Distribution. The main objectives are (i) to quantify the performance of SMAP and SAR4SM surface soil moisture estimates over arid environments against ground-based measurements, and (ii) to develop …

Performance Analysis Of Back-To-Back Multilevel Tnpc Converters For Wave Energy Converters, Kappala Raveendrababu

Thesis/ Dissertation Defenses

A Wave Energy Converter (WEC) is a device that transforms the kinetic energy of ocean waves into usable electrical energy. Wave energy has the potential to become a major renewable energy source soon, as its energy density is higher than that of solar and wind power, especially as its technology advances. This thesis addresses the integration of wave energy conversion systems into the electrical grid using back-to-back multilevel power converter topologies. The study focuses on the design and implementation of a back-to-back three-level T-type Neutral Point Clamped (T-NPC) converter for a single wave energy conversion system to enhance efficiency, reliability, …

Utilization Of Commercial Phosphonium And Ammonium Ionic Liquids In Enhanced Oil Recovery Of Carbonate Reservoirs, Nada Berrandjia

Thesis/ Dissertation Defenses

Despite advancements in renewable energy, oil and gas still dominate global energy supply, while a substantial portion of original oil in place (OOIP) remains unrecovered through conventional recovery methods. One of the most effective approaches used to mobilize residual oil is chemical enhanced oil recovery (CEOR) through mechanisms such as reduction of interfacial tension (IFT), alteration of wettability, emulsification, and improved displacement efficiency. Recently, ionic liquids (ILs) have gained interest as alternative CEOR agents due to their tunable structure and superior stability under harsh reservoir conditions. This thesis experimentally investigates the potential of low-cost and commercially available ILs for enhanced …

Comparative Performance Of Polymeric Membrane-Catalytic Combined Module Systems For Efficient Co2 Capture, Yamna Saif Alshamsi

Thesis/ Dissertation Defenses

Effective carbon dioxide (CO2) capture is crucial for mitigating climate change. Membrane-based gas absorption systems, particularly those utilizing monoethanolamine (MEA), offer a modular, scalable, and energy-efficient alternative to conventional methods. However, challenges such as membrane wetting, solvent degradation, and mass-transfer limitations hinder their performance.This research investigated the efficiency of polyvinylidene fluoride (PVDF) and polyethersulfone (PES) polymeric membrane contactors for CO2 absorption using MEA under simulated flue gas conditions. A novel approach involved incorporating nanocatalytic material into the absorbent solution to enhance CO2 absorption. Characterization included SEM, FTIR, XRD, permeability, tensile strength, and contact angle measurements, alongside CO2 absorption performance evaluation. …

Landscaping Of Mcp: An Overview Of Mcp Mitigations And Tools, Arden Michel

Cybersecurity Undergraduate Research Showcase

The Model Context Protocol (MCP) has quickly become the standard for enabling agentic AI systems to interact with external tools, data sources, and services. Since its debut in 2024, MCP has been adopted by companies such as Google, Apple, Meta, and IBM. While this integration greatly improves the capabilities of large language models (LLMs), it also creates a new attack surface that the security community is only beginning to understand systematically.

A key architectural challenge is MCP's fundamental reliance on implicit trust: servers often run locally with high privileges, tool descriptions are accepted without question, and external servers are presumed …

Limitations Of Signature-Based Network Intrusion Detection Under Modern Traffic Conditions, Henry Guidry

Cybersecurity Undergraduate Research Showcase

Network Intrusion Detection Systems are tools used to monitor network traffic and alert to suspicious or harmful activity before it can cause harm. Signature-based versions of these systems are a foundation for intrusion detection, operating by finding common patterns and forming malicious signatures. However, three developments in modern network environments have greatly impacted the significance of Network Intrusion Detection Systems. These three developments are the near-complete adoption of end-to-end encryption, the use of sophisticated packet fragmentation techniques, and the processing demands of high-throughput networks. Encryption makes deep packet inspection practically infeasible by transforming inspectable payloads into ciphertext, forcing NIDS to …

Development Of A Novel Cfd Approach For Predicting Multiphase Flow Enhanced By Machine Learning, Abdulrahman Elazazi Mohamed

Thesis/ Dissertation Defenses

Accurate estimation of interface orientation is crucial for ensuring both the accuracy and robustness of Volume of Fluid (VOF) schemes in multiphase flow simulations, especially when using non-uniform Cartesian meshes. Conventional gradient reconstruction approaches, such as least-squares (LSQ) methods, often suffer from significant errors and strong oscillations on highly stretched grids. This thesis proposes a grid-transferable, learning-based methodology that predicts interface unit normal vectors directly from the local volume-fraction field on non-uniform structured Cartesian grids by means of a compact feedforward neural network.

The methodology extends earlier work originally developed for uniform grids, which is first reproduced to assess how …

Escaping Isolation: An Analysis Of Virtual Machine And Container Breakout Vulnerabilities, Felix Iov

Cybersecurity Undergraduate Research Showcase

Cloud computing providers rely on multi-tenant architectures to maximize resource efficiency. This infrastructure depends on virtualization, which provides isolation between clients. This comes primarily in the form of Virtual Machines (VMs) and Containers. However, “breakout attacks” or “escapes” are a critical threat where attackers bypass these isolation layers to gain unauthorized access to the host system and neighboring environments. This paper surveys virtualization escape threats and analyzes three case studies: a runc container escape (Leaky Vessels), a VMware ESXi VM escape (VSOCKPuppet), and an NVIDIA GPU container escape (NVIDIAScape). Each demonstrates different attack surfaces, including file descriptor misuse, kernel driver …

Security Risks Of Ai-Generated Code In Software Development, Maame Agyekum

Cybersecurity Undergraduate Research Showcase

Artificial Intelligence(AI) has recently forced change globally, public Institutions and as well as national security. Advancement in machine learning, mixed datasets have enabled significantly powerful systems while being capable of operating at a large scale. As innovation and technological advancement increases at rapid pace, issues like a regulation gap where scientific development far exceeds the government’s ability to regulate and establish an effective oversight. As a result, Artificial Intelligence has been controlled by private companies, leading to an industry where speed and profit often outweigh safety and ethical responsibility.

Sustainable Cellulose Aerogels And Biofaoms From Date Palm Waste For Thermal Insulation Application, Hyder Ali Al Abdallah

Thesis/ Dissertation Defenses

This dissertation is concerned with the use of date palm waste for the preparation of green lightweight aerogels and foams. Cellulose extracted from date palm wood waste is utilized to fabricate cellulose aerogels. Moreover, wood foams are prepared from whole biomass wood waste, without any prior treatment or extraction processes. The aim of this research is to produce sustainable, green, environmentally friendly heat insulation materials the construction, to replace commercial and fossil-fuel derived heat insulators. In this research, cellulose is extracted from date palm trees waste using both traditional and green environmentally friendly solvents. After extraction, cellulose aerogels are prepared …

Proxyconnec: A Lora-Based Proactive Safety Communication System For Off-Grid Environments, Shruti Bhandari, Roza Shaimurat

ATU Scholars Symposium

Remote environments lacking cellular or satellite coverage present significant safety challenges. ProxyConnec was developed as a point-to-point communication system using ESP32 microcontrollers and REYAX RYLR998 LoRa modules to provide off-grid monitoring.

The system implements a proactive heartbeat model in which a beacon device transmits a signal every 1,000 milliseconds. A base station monitors this connection using a 5,000 millisecond watchdog timer. If communication is interrupted, the system immediately triggers audible and visual alerts. Unlike conventional tracking devices that depend on manual SOS activation, this design treats unexpected signal loss as a potential safety event.

The manufacturer rates the selected LoRa …

Deep Spiking Neural Network Autoencoders For Efficient Temporal Data Compression, Shruti Bhandari

ATU Scholars Symposium

High dimensional temporal data processing, such as that required for neuroprosthetics and remote physiological monitoring presents significant challenges for real time deployment because transmitting and storing raw signals is computationally demanding and energy intensive. Effective data compression is essential to act as a "biological zip file," reducing transmission bandwidth while preserving the critical temporal features required for accurate signal reconstruction and analysis. This study proposes a deep Spiking Neural Network (SNN) Autoencoder designed for high-fidelity data compression by utilizing the event-driven firing behavior of Leaky Integrate-and-Fire (LIF) neurons, which ensures extreme computational efficiency compared to traditional models. The model is …

Automatic Three Phase Balancing In Utility Applications, Ryan Morris

ATU Scholars Symposium

Balancing three-phase power has become more important as modern loads like EVs and large agricultural fans create fast and uneven changes in distribution systems. Manual balancing is slow, inconsistent, and often only done during certain “seasons,” which leaves long periods of imbalance. This paper reviews existing automatic methods such as the Fast-Switching Relay method, the Practical Balancing Algorithm, and the Phase-EQ system and highlights their benefits and limitations. Based on this analysis, a new method called the Predicted Practical Balancing Algorithm (PPBA) is proposed. The PPBA combines the stability of threshold-based switching with historical data to predict when imbalances are …

Re-Purposing Pre-Existing Tilapia Aquaculture Open-Design System For Zebrafish Biomedical Research Purposes, Luke Cantu, David Sierra, Skyleigh Curtis, Maya Avila

ATU Scholars Symposium

Title: Re-purposing pre-existing tilapia open-design aquaculture systems for zebrafish biomedical research purposes.

Background: Zebrafish (Danio rerio) models are gaining popularity in biomedical research; however, the high infrastructure cost, at approximately $20,000 per unit, is a significant hurdle for primary undergraduate institutions (PUIs) establishing zebrafish facilities. This study assesses if repurposing existing tilapia open-design aquaculture systems could be a cost-effective method for zebrafish facility establishment.

Methods: Between November-2025 to February-2026, the study used a pre-existing tilapia aquaculture open-design system with personnel modified outlet filters. The water quality of this system was monitored and recorded. The study compared the stabilization phase or …

Sustainable Materials And Energy Management In Interfacial Solar Evaporation Systems, Maryam Nooman Almallahi

Thesis/ Dissertation Defenses

Water scarcity is an escalating global challenge, particularly in arid regions, necessitating sustainable, decentralized technologies for freshwater production. Traditionally used desalination technologies include membrane and thermal distillation; neither approach has achieved the desired high level of environmental friendliness because both consume substantial electricity generated by fossil fuels. Therefore, new desalination technologies powered by sustainable energy and eco-friendly materials are in high demand. Solar-driven interfacial solar evaporation (SDIE) is a promising alternative for environmentally friendly, sustainable freshwater production, which involves efficient solar-to-heat conversion and heat localization at the evaporator surface. An evaporator usually consists of three main components—photothermal absorber, thermal insulation, …

Approach To Physics Education Using Local Ai With Rag For Open Educational Materials Generation, Dmitriy Beznosko

All Things Open

The new tool that starts to enter all parts of our life is AI – and it enters education as well. There are two standing large concerns with using AI for education – the safety of students’ data and the AI missing specific knowledge about the given class. The approach of using the Retrieval Augmented Generation (RAG) provides the user data to the locally run LLM model (using Ollama framework, a free and open-source tool that allows you to run large language models locally on your system) as a context for the generation of the OER materials. As this AI …

A Simulation-Based Comparison Of Energy Consumption And Carbon Footprint In Municipal Wastewater Treatment Using Conventional Nitrification–Denitrification And Partial Nitritation With Anammox, Shareef Puthiyottil

Thesis/ Dissertation Defenses

Municipal wastewater treatment plants are significant contributors to energy consumption and greenhouse gas emissions, particularly during secondary treatment processes. The high carbon footprint of wastewater treatment plants can be primarily attributed to two factors: direct greenhouse gas emissions (Scope 1) and energy consumption (Scope 2). Nitrous oxide released during secondary treatment has a global warming potential 273 times greater than that of carbon dioxide. Moreover, conventional nitrification/denitrification wastewater treatment plants are energy-intensive and associated with greenhouse gas emissions, yet widely implemented for their ease of operation and maintenance. This highlights the need to evaluate alternative treatment configurations that reduce energy …

Development Of Chitosan Encapsulated Ag/Zno Ternary Nanocomposites For Multifunctional Activity: Synthesis And Characterization, Latifa Ali Al Yabhouni Al Dhaheri

Thesis/ Dissertation Defenses

Nanocomposites of polymers combined with metal oxide nanoparticles have gained much attention due to their synergistic properties leading to enhanced functional ability. Herein, we report the synthesis of a nanocomposite composed of chitosan (CS) with Ag/ZnO nanoparticles produced via a wet chemistry route and fabrication of a pure CS and CS/Ag/ZnO thin films while varying the concentration of ZnO for each sample using a sol-gel transformation method. The CS/Ag/ZnO nanocomposite was characterized to study its crystal structure, morphology, thermal, and chemical properties. Morphological studies revealed uniform deposition of Ag NPs (with size range of 20-50 nm) and ZnO nanoparticles (with …

Spray Drying Of Cromolyn Sodium For Pulmonary Delivery, Waasif Karuthedath Wahab

Thesis/ Dissertation Defenses

Cromolyn sodium (CS) is an anti-inflammatory drug that can be used for the effective treatment of respiratory diseases such as asthma. Spray drying techniques are widely used in the pharmaceutical industry to produce fine drug powders for pulmonary delivery. The study aimed to develop a new dry powder formulation of CS in combination with leucine and mannitol by spray drying. The target of this study was to develop an inhalable formulation with improved fine particle fraction and less ethanol percentage in the feed solution. To obtain respirable CS: Leucine: Mannitol microparticles, process variables such as total solid concentration, leucine weight …

Traditional And Machine-Learning Equalization Techniques For Bandwidth-Limited Short-Reach Optical Communication Channels, Abdullah Khawatmi

Thesis/ Dissertation Defenses

This thesis investigates equalization techniques for bandwidth-limited short-reach optical communication systems, with a focus on Visible Light Communication (VLC) and Step-Index Plastic Optical Fiber (SI-POF) links. Commercial light-emitting diodes and photodiode receivers impose severe bandwidth constraints, inter-symbol interference, and noise sensitivity, which fundamentally limit achievable data rates. The work addresses these impairments through systematic evaluation of traditional digital signal processing–based equalizers and modern machine-learning-based post-equalization methods.

The primary aim of this thesis is to enhance the achievable data rate and reliability of commercial short-reach optical links while maintaining practical computational complexity. Specifically, the objectives are to (i) design and experimentally …

Examining The Use And Perceived Benefits Of Artificial Intelligence Tools In Higher Education: Student Perspectives, Musa Pinar, Haydar Cukurtepe, Aysegul Yayimli, Faruk Guder

Atlantic Marketing Association Proceedings

No abstract provided.

Exploring Scms And Fibers For Structural Build-Up In 3d Printing Using Penetration Test, Shiva Kumar Goud Kasani

Miners Solving for Tomorrow Research Conference

Additive manufacturing with cementitious materials advances rapidly, but predicting structural build-up is critical for 3D printed structure buildability. Various supplementary cementitious materials (SCMs) and fibers are commonly used to enhance structural build-up in 3D printing. Evaluating their effects is necessary for successful printing. In this research, this effect is studied for common SCMs, including fly ash and silica fume, and fibers including polypropylene (0.375% and 0.75% by volume), steel (0.75% and 1.5% by volume), and hemp fibers (0.375% and 0.75% by volume). The Structural build-up was quantified through continuous static yield stress measurements (via vane rheometer, penetration, and slump) during …

Synthesis And Hydrothermal Evaluation Of Poly(Styrene Phosphonate) For Conformance Control In Geothermal Reservoirs, Sara Mccauley

Miners Solving for Tomorrow Research Conference

As atmospheric carbon dioxide levels continue to rise, geothermal energy has emerged as a promising energy alternative to fossil fuels. A barrier to widespread implementation and energy production efficiency is macro-heterogeneity of the rock matrix. Cracks, void spaces, and flow conduits divert fluid flow away from unswept portions of the geothermal reservoir and can cause cooling of the reservoir. Flow heterogeneity has been treated in oil reservoirs by injecting hydrogel particles that travel preferentially to ultra-high permeability zones and selectively block fluid flow in these regions. We are applying polymer hydrogels that withstand hydrothermal conditions of 225 up to 275°C …

Challenges And Best Practices Of Regional Innovation Ecosystems, Mahnaz Asgari Sooran

Miners Solving for Tomorrow Research Conference

Many places around the world are developing regional innovation ecosystems to spur regional economic. Many innovation ecosystems fail or barely maintain their initial momentum after a few years. In this paper, we identified challenges and best practices facing innovation ecosystems interviews with the innovation ecosystem stakeholders. We employed the MIT REAP (Regional Entrepreneurship Acceleration Program) model to categorize the five main stakeholders of the innovation ecosystem: entrepreneurs, universities, industry, risk capital, and government. Our initial results indicated the following: (a) Access to capital and talented workforce; (b) Stakeholder discovery process is one of the critical areas to understand the basic …

Simulating Thermal Diffusion Through Image-Derived Microstructures Of Ceramic Matrix Composites, Matik Heskin

Miners Solving for Tomorrow Research Conference

Thermal energy transport in materials can be effectively modeled using finite element software such as COMSOL. Experimentally measured or NIST–JANAF thermal conductivity data can be used to represent material behavior within these simulations. For heterogeneous or composite materials, effective properties are often approximated using rule-of-mixtures calculations. However, this overlooks the nuanced effects caused by complex microstructural geometry. To address this limitation, imaging and coding tools such as MATLAB can be used to process scanning electron microscopy (SEM) images. By thresholding the images to distinguish constituent materials, a representative mesh can be generated and imported into an FEM program. This approach …