Engineering Commons^™

Optimizing An Integrated Hybrid Energy System With Hydrogen-Based Storage To Develop An Off-Grid Green Community For Sustainable Development In Bangladesh, Asif Jaman, Rafid Al Mahmud, Barun K. Das, Mohammad Shahed H.K. Tushar

Research outputs 2022 to 2026

An integrated renewable system that utilizes solid waste-based biogas is important steps towards the sustainable energy solutions to rural off-grid communities in Bangladesh. In this study, a hybrid energy system consisting of photovoltaic modules, wind turbines, biogas generators, fuel cells, and electrolyzer-hydrogen tank-based energy storage is optimized using non-dominated sorting genetic algorithm (NSGA-II). The hybrid system is optimized based on the cost of energy and human health damage as objective functions, and a fuzzy decision-making technique is employed to determine the optimal solution to the multi-objective approach. Additionally, several economic, ecological, and social indicators are also investigated while meeting a …

Pfas In Landfill Leachate: Practical Considerations For Treatment And Characterization, Fabrizio Sabba, Christian Kassar, Teng Zeng, Synthia P. Mallick, Leon Downing, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Per- and polyfluoroalkyl substances (PFAS) are widely used in consumer products and are particularly high in landfill leachate. The practice of sending leachate to wastewater treatment plants (WWTPs) is an issue for utilities that have biosolids land application limits based on PFAS concentrations. Moreover, landfills may face their own effluent limit guidelines for PFAS. The purpose of this review is to understand the most appropriate treatment technology combinations for mitigating PFAS in landfill leachate. The first objective is to understand the unique chemical characteristics of landfill leachate. The second objective is to establish the role and importance of known and …

A Continuum Mechanical Model Of The Brain During Closed Head Injury, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Exactly how traumatic axonal injury happens as a result of brief, intense acceleration of the head remains a mystery. The same can be said about traumatic microbleeds observed in MRI scans of people suffering concussions. This paper explores the mechanism of injury in terms of continuum biomechanics. A full-sized viscoelastic model of the human brain is developed that is subjected to impact with the rigid skull after crossing the subarachnoid space in response to brief, intense whole head acceleration, as might occur in falls or in contact sports. The brain is considered a compressible viscoelastic body of approximately uniform density, …

Evaluation Of Stability And Controllability Of The Multiple Trim Solutions For A Bio-Inspired Rotating Empennage Fighter Aircraft, Benjamin C. Moulton, Christian R. Bolander, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

Aircraft with non-traditional actuators tend to have multiple or infinite trim solutions for a single flight condition. For a given flight condition the bio-inspired rotating empennage fighter aircraft has multiple distinct trim solutions with varying tail rotation angles. In the present work these trim solutions are evaluated from various perspectives including: minimum drag, dynamic stability, controllability, and degree of controllability. The results of these analyses can be used to further constrain a trim solver routine such that a trim solution is found meeting a desired criterion. The purpose of the present paper is to evaluate the multiple trim solutions for …

Pestle Analysis Of A Seaplane Transport Network In Greece, Dimitrios V. Siskos, Alexander Maravas, Jordan Karatzas

Publications

Seaplane operations connect remote areas, promote tourism, and provide unique transportation solutions. After many years of preparations, commercial seaplane operations on a network of 100 water airports and 200 waterways in Greece are about to commence. The network can serve the needs of 1.6 million permanent residents of the Greek islands, the inhabitants of the mainland, and over 35 million annual tourists. This paper aims to conduct a PESTLE (Political, Economic, Social, Technological, Legal, and Environmental) analysis to identify the factors that have delayed operations and those that will affect the success of future operations. As such, 26 factors are …

Exploring The Potential Of Large Language Models For Assisting With Mental Health Diagnostic Assessments: The Depression And Anxiety Case, Kaushik Roy, Harshul Surana, Darssan Eswaramoorthi, Yuxin Zi, Vedant Palit, Ritvik Garimella, Amit Sheth

Publications

Large language models (LLMs) are increasingly attracting the attention of healthcare professionals for their potential to assist in diagnostic assessments, which could alleviate the strain on the healthcare system caused by a high patient load and a shortage of providers. For LLMs to be effective in supporting diagnostic assessments, it is essential that they closely replicate the standard diagnostic procedures used by clinicians. In this paper, we specifically examine the diagnostic assessment processes described in the Patient Health Questionnaire-9 (PHQ-9) for major depressive disorder (MDD) and the Generalized Anxiety Disorder-7 (GAD-7) questionnaire for generalized anxiety disorder (GAD). We investigate various …

Lessons In Low-Tech: A Handbook For Sustainable Education, Ceri Almrott, Loann Astorino, Sébastien Bette, Benoit Delinchant, Philippe Fortemps, Ulysse Girard, Paul Hendrick, Sacha Hodencq, Fabian Lecron, Julie Lhuissier, Kévin Loesle, Luis Miguel Lopez Santiago, Santiago Perez Rodriguez, Gauthier Renard, Tatiana Reyes, Virginie Vandenbulcke, John Walsh

Other resources

LT4SUSTAIN, an Erasmus+ funded transnational project, is at the forefront of responding to the increasing awareness of environmental and climate challenges. This awareness, particularly among youth, has led to a demand for social justice. With the coordinated work among six institutions, ranging from higher education institutions to private companies and associations, LT4SUSTAIN aims to raise awareness of Lowtech across society.

LT4SUSTAIN is pioneering a unique approach to technology design. By developing “hackathons” and other “hands-on” events, we are engaging students and industry in a way that improves inclusiveness. Our objective is to equip individuals with the skills to embark on …

Yolo-Based Miner Detection Using Thermal Images In Underground Mines, Cyrus Addy, Venkata Sriram Siddhardh Nadendla, Kwame Awuah-Offei

Computer Science Faculty Research & Creative Works

Well-designed and effective in-mine robots can expedite miner self-rescue during emergencies and reduce fatalities. These in-mine robots for miner self-rescue can carry out diverse tasks such as scouting (including object detection and autonomous navigation), and payload delivery. However, robots that can effectively detect humans in a dark underground mine do not yet exist. This paper investigates challenges in the design of object detection algorithms for in-mine robots using thermal images, especially to detect people in real-time, in low-light conditions. The research team collected 500 thermal images in the Missouri University of Science & Technology Experimental Mine with the help of …

Mars Sample Return Earth Entry System Uncertainty Analysis, Michael D. Squire, Victor Cabrera, Eric Christiansen, Alan Jenkin, Kevin Hoffman, Quincy Mckown, Peter Parker, Glenn Peterson, Bruno Victorino Sarli, William P. Schonberg, Katie Steward, Brian Tulaba, Joel Williamsen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Spacecraft designers and operators use micrometeoroid and orbital debris (MMOD) risk assessments to predict the probability that an MMOD particle impact will cause a critical failure to their systems. An important aspect of MMOD risk and associated requirements is the treatment of uncertainty, often difficult to quantify, or even estimate, for many elements of MMOD risk. This paper describes recent efforts to estimate uncertainties in inputs to the MMOD risk assessment process for a portion of the planned Mars Sample Return (MSR) campaign. The uncertainty bounds developed were used to examine their effect on overall mission MMOD risk.

Can An Llm Use Work System Axioms When Describing Work Systems For Requirements Analysis?, Steven Alter

Business Analytics and Information Systems

This research-in-progress paper presents part of an ongoing project related to using LLMs for describing, analyzing, and designing work systems (including information systems). General axioms that apply to any non-trivial WS or IS might provide a path toward new tools and methods. This paper identifies 24 work system axioms that extend earlier research. They are organized in five categories: 1) system in context, 2) system operation, 3) system goals and goal attainment, 4) system uncertainties, and 5) system-related change. The axioms potentially address the challenge of helping business and IS/IT professionals understand and collaborate around systems in organization. This preliminary …

Integrating Medical Plastic Waste Pyrolysis And Circular Economy For Environmental Sustainability, Attia Attia, Mohamed Bassyouni Prof., Reem Nasser Eng., Moataz El-Bagoury Eng., Islam Shaker Eng., Yasser Elhenawy Prof., Dina Aboelela Dr.

Biochemical Engineering

A critical assessment of pyrolysis technologies and reactor designs was discussed, highlighting various reactor configurations. This study explored the influence of catalysts, temperature, heating rate, and residence time on the pyrolysis process, and addressed their effects on product distribution and composition. Safety considerations and strategies for mitigating the potential environmental impacts of pyrolysis were presented. Comparative analyses of the environmental impacts of traditional waste disposal methods versus pyrolysis-based approaches provided insights into the potential reduction of greenhouse gas emissions and other pollutants. The circular economy approach was explored in the context of medical plastic waste pyrolysis. The potential for closing …

Validating Structural Predictions Of Conjugated Macromolecules In Espaloma-Enabled Reproducible Workflows, Madilyn E. Paul, Chris D. Jones, Eric Jankowski

Boise State University Publications and Presentations

We incorporated Espaloma forcefield parameterization into MoSDeF tools for performing molecular dynamics simulations of organic molecules with HOOMD-Blue. We compared equilibrium morphologies predicted for perylene and poly-3-hexylthiophene (P3HT) with the ESP-UA forcefield in the present work against prior work using the OPLS-UA forcefield. We found that, after resolving the chemical ambiguities in molecular topologies, ESP-UA is similar to GAFF. We observed the clustering/melting phase behavior to be similar between ESP-UA and OPLS-UA, but the base energy unit of OPLS-UA was found to better connect to experimentally measured transition temperatures. Short-range ordering measured by radial distribution functions was found to be …

An Evaluation Of Reinforcement Learning Algorithms In Video Game Development, Isaac Lockwood

Masters Theses & Specialist Projects

Reinforcement Learning (RL) has demonstrated substantial promise for creating adaptive, responsive AI in complex environments such as video games. Yet despite growing academic interest, industry adoption remains limited due to computational overhead, reward-design challenges, and unpredictable AI behaviors. This thesis investigates how RL algorithms—specifically Advantage Actor-Critic (A2C), Deep Q-Network (DQN), and Proximal Policy Optimization (PPO)—can be applied to three different genres of video games. Those being first-person shooter (fps), fighting, and strategy.

Through a combination of scenario-based experimentation and comprehensive analysis, this work explores the feasibility and design considerations crucial for integrating RL-driven AI into commercial games. Key factors examined …

Dashar: An Implementation Of Augmented Reality Technology For Automotive Applications, Trevor D. Brown

Masters Theses & Specialist Projects

Since the advent of the modern automobile, manufacturers have provided means of tracking various critical data points associated with automobile operation, with the most prominent and standardized method being the instrument cluster. These data points include, but are not limited to, automobile speed, engine speed, fuel level, oil temperature, radiator (water) temperature, and battery charge. While this data is updated in real-time as the automobile is running, traditional instrument clusters cannot be modified or adjusted to the automobile driver’s needs, unless extensive after-market modifications are made. These modifications can be expensive, and require great understanding of the automobile’s assembly.

Alongside …

Seldm Case Study Exercise: Instructor Notes, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.

Lesson 1: Seldm Introduction, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.

Lesson 2: Seldm Results With Data And Graphs, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.

Lesson 2: Worksheet Student Version, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.

Lesson 2: Worksheet Instructor Version, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.

Complex Skill Learning And Atc: Examining Stress Response And Distress Mitigation With Eeg And Ecg, Sophia J. Fischer, James C. Lue, Dana Mahmoud, Joshua Rice, Piper Winsett, Eric Anthony Day, Michael J. Wenger, Dingjing Shi, Julia Beckel, Jamie Barrett, Tammy Ho

International Symposium on Aviation Psychology - 2025

Air Traffic Control (ATC) trainees at the FAA Academy and developmentalcontrollers in the field often face dynamic and unexpected events in training,which may impact safe and effective human performance if certain vulnerabilitiesare not properly managed or mitigated. We integrate theory on self-regulatedworkplace training with a cognitive neuroscience perspective on attention touniquely examine the effects of surprise and stress on performance. Our near-termgoal is to demonstrate the viability of using physiological measures to predictperformance changes in a laboratory study of young adults learning a complexvideogame. We use a novel, event-marked and person-centric longitudinalapproach to the analysis of physiological variables to distinguish …

Review Of Fatigue Micro-Mitigations For Application In Air Traffic Control: Benefits, Challenges, And Feasibility, John Kang, Ruth E. Propper, Michael Sawyer

International Symposium on Aviation Psychology - 2025

Air traffic controllers (ATCs) are one of the primary drivers of safe and resilient operations in the National Airspace System. The FAA has implemented manylarge-scale fatigue mitigation strategies (e.g., scheduling policies, break time requirements, and time-on-position limits) to combat fatigue. Given the performance benefits related to managing fatigue, ATCs may also benefit from simple, practical fatigue interventions and that could improve job performance.This review targets ‘micro-mitigations,’ which we define as mitigations that maybe unobtrusive, can be quickly implemented, have a rapid impact, and are easy to engage. We explore the possible utility of five micro-mitigations to help minimize fatigue/improve alertness: …

Digital Twin-Centered Hybrid Data-Driven Multi-Stage Deep Learning Framework For Enhanced Nuclear Reactor Power Prediction, James Daniell, Kazuma Kobayashi, Ayodeji Alajo, Syed Bahauddin Alam

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

The accurate and efficient modeling of nuclear reactor transients is crucial for ensuring safe and optimal reactor operation. Traditional physics-based models, while valuable, can be computationally intensive and may not fully capture the complexities of real-world reactor behavior. This paper introduces a novel hybrid digital twin-focused multi-stage deep learning framework that addresses these limitations, offering a faster and more robust solution for predicting the final steady-state power of reactor transients. By leveraging a combination of feed-forward neural networks with both classification and regression stages, and training on a unique dataset that integrates real-world measurements of reactor power and controls state …

Soy-Grid Prototype Development For Erosion Control Situated In The Scholarly And Public Spheres, Kyle Butler

Honors Senior Capstones and Theses

Erosion control is crucial for preserving coastlines and stream banks, protecting shoreline properties, and maintaining the ecological balance of vulnerable environments. Coastal areas are particularly susceptible to erosion caused by wave action, storms, and human activities. Erosion can lead to land loss, habitat destruction, and increased vulnerability to flooding. Effective erosion control measures help stabilize shorelines, prevent property damage, and safeguard coastal and inland infrastructure, while also preserving the natural beauty and recreational value of these areas.

Numerical And Experimental Investigation Of The Dynamic Behavior Of Vibrating Niti Guidewire, Graham Gavin

Conference Papers

Minimally invasive interventions often utilise slender wires to access and navigate to target sites. These guidewires act as rails, facilitating access for other therapies. In endovascular procedures, the guidewires facilitate angioplasty balloons, stenting and other dilation procedures. Due to their small profile and flexibility, endovascular guidewires have limited ability to transfer forces to their tip and as a result cannot penetrate hard calcified blockages, commonly referred to as chronic total occlusions (CTOs) [1-2]. One method proposed to overcome this limitation is the application of vibrations to the wire. The vibrations are transmitted along the length of the wire to the …

Evaluation Of The Crossing Forces Of A Vibrating Guidewire In Contact With Model Calcified Materials, A. Rezaei, Graham Gavin, S. Raut

Conference Papers

Peripheral arterial disease (PAD) affects millions globally, with over 21 million cases reported in the U.S. in 2020. It occurs when leg arteries become narrowed or blocked, leading to complications like critical limb ischemia, where blood flow is severely restricted. Standard treatments, such as bypass surgery and endovascular procedures, aim to restore blood flow. However, advanced chronic total occlusions with calcified plaques, often prevent flexible guidewires crossing into the true lumen of the distal vessel, accounting for approximately 80% of procedural failure. The use of high-frequency (20- 50 kHz) mechanical vibrations (0-50 μm) delivered to the distal tip of specialist …

Material Vulnerabilities In Aviation: A Comparative Study Of Hiduminium Rr58 In The Concorde, Siddhant Singh, Kuldeep Agarwal

Automotive and Manufacturing Engineering Technology Department Publications

The catastrophic crash of Air France Flight 4590 in the year 2000 disclosed huge flaws in the material used to manufacture the Concorde fuel tanks, Hiduminium RR58 (Aluminum 2618A). Although this alloy was selected due to its resistance to high-temperature, this research examines its thermal and mechanical vulnerabilities, especially in relation to Aluminum 7075-T3, a large-scale application of which in the Boeing 747 was widespread. By comparing tensile strength, thermal conductivity, fatigue life, and creep life, this research determines how Hiduminium RR58's over-aging susceptibility, thermal cycling degradation, and rupture due to impact were contributory causes to the disaster. The study …

Performance-Based Approach To Characterize External Sulfate Attack For Reactive Powder Concrete, Umut Bakhbergen, Chang Seon Shon, Dichuan Zhang, Jong Ryeol Kim, Jenny Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Reactive powder concrete (RPC) is a relatively new type of high-performance concrete, offering enhanced load-bearing capacity, mechanical strength, and durability. The enhanced microstructural density of RPC with the incorporation of reinforcing fibers significantly increases its resistance to durability challenges, particularly against external sulfate attack (ESA). However, conventional laboratory testing methods for evaluating the resistance of RPC to ESA are limited. Hence, a new performance-based approach was developed to evaluate the durability of RPC exposed to ESA. Expansion of nine RPC mixtures designed by Taguchi L9 orthogonal array method with four factors (steel fiber content, water-to-binder ratio (w/b), silica fume content, …

Performance And Economic Evaluation Of Asphalt-Based High Friction Surface Treatment (Hfst) Applications, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

High Friction Surface Treatments (HFSTs) are recognized for enhancing friction between tires and road surfaces, with reduced road accidents being a key benefit. Epoxy-based HFSTs, though widely used, come with challenges like compatibility issues with existing pavements, higher installation and removal costs, and reduced durability tied to substrate quality. Recently, state agencies have increasingly focused on developing asphalt-based alternative binders for HFST applications as highlighted in the National Cooperative Highway Research Program (NCHRP) RFP #NCHRP 10-145. This study introduces asphalt-based HFSTs as an alternative to traditional epoxy-based treatments. Various aggregate types were examined for friction performance and the effect of …

Representing Structural Isomer Effects In A Coarse-Grain Model Of Poly(Ether Ketone Ketone), Chris D. Jones, Jenny W. Fothergill, Rainier Barrett, Lina N. Ghanbari, Nicholas R. Enos, Olivia Mcnair, Jeffrey Wiggins, Eric Jankowski

Boise State University Publications and Presentations

Carbon-fiber composites with thermoplastic matrices offer many processing and performance benefits in aerospace applications, but the long relaxation times of polymers make it difficult to predict how the structure of the matrix depends on its chemistry and how it was processed. Coarse-grained models of polymers can enable access to these long-time dynamics, but can have limited applicability outside the systems and state points that they are validated against. Here we develop and validate a minimal coarse-grained model of the aerospace thermoplastic poly(etherketoneketone) (PEKK). We use multistate iterative Boltzmann inversion to learn potentials with transferability across thermodynamic states relevant to PEKK …

Lesson 1: Seldm Introduction, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.