Engineering Commons^™

Introduction To The Special Issue On Verification And Validation Of Source And Propagation Models For Underwater Sounda), Kathleen J. Vigness-Raposa, Klaus Lucke, Michael A. Ainslie, Michele B. Halvorsen, Christ A. F. De Jong, Stanley J. Labak, Martin Siderius

Electrical and Computer Engineering Faculty Publications and Presentations

This joint Special Issue of JASA and JASA Express Letters focuses on underwater sound source and propagation modelling, both of ambient sound as well as sources of relevance to possible effects of sound on aquatic life, and corresponding acoustical metrics. Combining information on the sound field with information on a dose-effect relationship enables estimation of the potential effects. The Special Issue presents a collection of eighteen articles on the following topics: (1) verification of source and propagation models, (2) validation of source and propagation models, and (3) bioacoustical metrics for assessment of the risk of environmental effects. This special issue …

Application Of Digital Core Analysis To Improve Reservoir Characterisation And Modelling: The Otway Formation As A Case Study, Masoud Aslannezhad, Mohammad Sayyafzadeh, David Tang, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Conventional reservoir models of heterogeneous reservoirs do not include micro-scale heterogeneity due to the resolution limitations of widely used well logs and core plug data. This leads to a lack of precision in the characterization of the reservoir. The reservoir quality of the thin sandstone layers in heterogeneous reservoir are critical factors for CO2 sequestration. The integration of micro-CT images from rock samples and upscaling algorithms, enables a comprehensive understanding of reservoir properties and facilitates accurate reservoir modelling. This research aims to enhance reservoir characterization and modelling by upscaling digital core data from micro scale to field scale. By focusing …

Meso-Damage Characterization Of Chemically Corroded Rocks Under Unloading Confinement Conditions, Hao Li, Leo Pel, Zhenjiang You, David Smeulders

Research outputs 2022 to 2026

Characterizing meso-damage and understanding its correlation with macroscopic mechanical responses of rocks under coupled chemical-mechanical (C-M) conditions are crucial for the stability analysis and safety design of underground constructions in chemically corrosive environments. This research proposes a model to quantify coupled C-M meso-damage of rocks, utilizing geochemical surface reaction theory, statistical mechanics, thermodynamic principles, and novel principals proposed in this study, termed Random Energy Release Rate (RERR) and Effective Chemical Damage (ECD). To achieve this goal, a multiscale experimental investigation, including Nuclear Magnetic Resonance (NMR), X-ray diffraction (XRD), Scanning electron microscopy (SEM), pH and ion chromatography analysis, triaxial compression and …

Evaluating Flue Gas Geo-Sequestration And Eor In Fractured Reservoirs Through Simulated Synergistic Reservoir Characteristics And Injection Kinetics, Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

The global reliance on hydrocarbon resources and fossil fuels has resulted in a significant surge in carbon dioxide emissions, necessitating urgent measures to mitigate greenhouse gas emissions. Integrating CO2 storage with enhanced oil recovery (EOR) presents a promising solution for reducing emissions and enhancing oil recovery by sequestering CO2 within oil reservoirs, especially in fractured carbonate reservoirs. The research utilized the Eclipse simulator to model different gas injection scenarios in a crude oil reservoir, focusing on assessing the effectiveness of CO2 and flue gas geo-sequestration and EOR, performing sensitivity analyses on reservoir characteristics, and evaluating the impact of varying injection …

Characterizing Phosphorus Removal And Recovery Performance Of A 3d Printed Iron-Embedded Polylactic Acid Composite, Colin B. Wilson, Anthony J. Parolari, Andrew Hiestand, Brooke K. Mayer, Allison Murray

Civil and Environmental Engineering Faculty Research and Publications

Green infrastructure (GI) has been heralded as a solution for reducing phosphorus (P) pollution through increasing stormwater runoff infiltration and improving water quality. Despite its global implementation, GI struggles to improve the effluent water quality discharged from these systems consistently. This research evaluates the P removal performance and recovery potential of iron-embedded polylactic acid (PLA) composites through a novel application of three-dimensional (3D) printed representative unit cells (RUC) that could be used to improve effluent quality in GI. The RUC required chemical oxidation to convert the embedded iron to hematite (Fe₂⁢O₃) to facilitate P adsorption. Batch …

Recommender Systems And Reinforcement Learning For Human-Building Interaction And Context Aware Support: A Text Mining-Driven Review Of Scientific Literature, Wenhao Zhang, Matias Quintana, Clayton Miller

Research Collection College of Integrative Studies

The indoor environment significantly impacts human health and well-being; enhancing health and reducing energy consumption in these settings is a central research focus. With the advancement of Information and Communication Technology (ICT), recommendation systems and reinforcement learning (RL) have emerged as promising approaches to induce behavioral changes to improve the indoor environment and energy efficiency of buildings. This study aims to employ text mining and Natural Language Processing (NLP) techniques to thoroughly examine the connections among these approaches in the context of human-building interaction and occupant context-aware support. The study analyzed 27,595 articles from the ScienceDirect database, revealing extensive use …

Near-Peer Student-Run Virtual Stem Summer Camp: Lessons Learned, Andrew Lee, Jeremy Reynolds, Margaret Reynolds, Freda Li, Lubjana Beshaj

Journal of Humanistic Mathematics

The United States Military Academy is uniquely positioned to contribute to our nation’s Science, Technology, Engineering, and Math (STEM) outreach initiatives. As one of the country’s most highly regarded undergraduate engineering schools, the institution receives a steady influx of Cadet near-peer mentors who volunteer to lead STEM modules. When the COVID-19 pandemic shut down in-person STEM workshops for the better part of 2020-2021, the Center for Leadership and Diversity in STEM adeptly transitioned to a virtual platform. Informed by research on STEM education and delivery, the Center successfully executed its signature summer camp event in a virtual format for two …

Spark Plasma Sintering Of (Zr,Nb)C Ceramics, Jacob Stacy, Greg Hilmas, Jeremy Watts, Brian Taylor, Jhonathan Rosales

Materials Science and Engineering Faculty Research & Creative Works

A range of (Zr,Nb)C ceramics containing 20–50 vol% NbC were spark plasma sintered at 2000°C. The ceramics had relative densities greater than 97 %, and all compositions formed a complete solid solution. The average grain size was ∼7.1 µm over all compositions. Elastic moduli values ranged from 436 to 445 GPa, and the fracture toughness ranged from 0.8 to 2.8 MPa·m1/2 over the compositional range, both increasing with increasing NbC content. The hardnesses of the (Zr,Nb)C ceramics ranged from 19.1 to 20.2 GPa at a load of 9.81 N. The flexural strength increased from 352 to 395 MPa as the …

Pilot Study: Initial Investigation Suggests Differences In Emt-Associated Gene Expression In Breast Tumor Regions, Kylie L. King, Hamed Abdollahi, Zoe Dinkel, Alannah Akins, Homayoun Valafar, Heather Dunn

Faculty Publications

Triple negative breast cancer (TNBC) is the most aggressive subtype and disproportionately affects African American women. The development of breast cancer is highly associated with interactions between tumor cells and the extracellular matrix (ECM), and recent research suggests that cellular components of the ECM vary between racial groups. This pilot study aimed to evaluate gene expression in TNBC samples from patients who identified as African American and Caucasian using traditional statistical methods and emerging Machine Learning (ML) approaches. ML enables the analysis of complex datasets and the extraction of useful information from small datasets. We selected four regions of interest …

Operation And Maintenance Costs In Reverse Osmosis Desalination Projects Adopting Public-Private Partnerships: A Comprehensive Investigation And Analysis, Mayar Mohamed Khairy

Theses and Dissertations

Water Desalination projects, specifically ones adopting reverse osmosis (RO) technology, play a pivotal role in addressing the scarcity of water globally. Since these projects require huge investments, there is an imperative need to focus on the role of public-private partnerships (PPPs) in their developments. This research tries to provide a comprehensive investigation into the factors affecting O&M costs in PPP desalination projects due to their importance.

A comprehensive research approach, including a literature review, expert interviews, survey analysis, and statistical tools, is adopted in this research aiming to identify key factors and recommendations based on best practices in O&M costs …

Advanced Construction Scheduling: Capturing Conditional And Stochastic Relationships, Amr Elsabagh

Theses and Dissertations

Proper planning is a key factor in all business endeavors. This is especially important in the construction industry as a project is sensitive to countless factors that affect the project's time and cost. This created the need for agile and flexible schedules for close monitoring and dynamic planning for construction projects. The currently prevailing scheduling techniques are CPM and PERT, which professionals in the field widely use. These methods create static schedules that are vulnerable to any changes in the schedule logic, which often happens during construction projects. In addition, these Scheduling techniques do not capture the uncertainties and complex …

Organizational Change Management In Egypt; Contractors’ Perspective, Karim Ayoub

Theses and Dissertations

Organizational change management in the construction industry is a vital process for companies to consider in their operations. Successful implementation of the process allows the companies to go a step further in the market due to their competitiveness derived from better performance and efficiency. However, applying change to the organization and introducing new structure is a challenge for any company seeking better performance, but worth it if it is implemented properly. In general, this research sheds light on the organizational change management implementation in construction contractors in Egypt. Where, this study aims to demonstrate the organizational change management initiatives and …

Metaheuristic Techniques To Optimize Trajectory Planning Of Uav Swarms: Enhancing Data Acquisition In Wireless Sensor Networks, Nada Ali Mohamed Ahmed Ahmed

Theses and Dissertations

Unmanned aerial vehicles (UAVs) have become increasingly integrated into various applications due to their cost-efficiency, rapid deployment, flexible maneuvers, and enhanced performance. This has led to the development of a new field called UAV-assisted Wireless Sensor Networks (U-WSNs), which focus on data routing, network performance optimization, and planning UAV trajectories between sensor nodes in wireless sensor networks. In this thesis, a new framework has been proposed to manage a swarm of UAVs cooperatively serving large-scale wireless sensor networks. The framework consists of three optimization problems: distributing sensor nodes among UAVs, finding optimal trajectories in the presence of obstacles, and performing …

Design And Implementation Of Uvm-Based Verification Framework For Deep Learning Accelerators, Randa Ahmed Hussein Aboudeif

Theses and Dissertations

Recent advancements in deep learning (DL) have made hardware accelerators, known as deep learning accelerators (DLAs), a preferred solution for numerous high-performance computing (HPC) applications, including speech recognition, computer vision, and image classification. DLAs are composed of hundreds of parallel processing engines to speed up computations and can gain access to pre-trained networks from the cloud or through on-chip memory to implement the DNN inference process. DLA verification is becoming an important and challenging phase. The verification process is required to handle the complex DLA design. Moreover, the reliability of DLAs is critical for assessment as they are involved in …

Sustainability Transformation For Healthcare Facilities Following Net Zero Model, Esraa Elmitainy

Theses and Dissertations

The healthcare industry is a field undergoing huge development. Focused on SDG 3 “Good Health and Well-being”, the healthcare industry, as the main health service provider, was marked by experts as a sector that should lead sustainable development by example. The current work aims to formulate a sustainability rating system for new and existing healthcare facilities to encourage the Egyptian healthcare industry to move towards sustainability according to net zero concepts. Additionally, the transition to net zero waste is investigated though experimental work to test the possibility of utilizing sterilized medical waste in cement-based bricks.

The rating system starts with …

Navigating The Future Advancing Autonomous Vehicles Through Robust Target Recognition And Real-Time Avoidance, Mohammed Ahmed Mohammed Hussein

Theses and Dissertations

The problem being tackled by this thesis is a very important one and very relevant to our days and times: it is about making improved target recognition and enhanced real-time response skills in AVs under simulated conditions. Our plan is to put some enhanced sensory capabilities into these vehicles and see if that makes them safer and more reliable. We are using as our base a particular object recognition algorithm (YOLOv7) and a particular simulation environment (CARLA). We utilized the CARLA 0.9.14 simulator on Ubuntu 20.04 as a more stable option than the initially used CARLA 0.9.15 on Ubuntu 22.04, …

A Framework To Harmonize Legal Provisions In Infrastructure Ppp Projects In Egypt Funded By Multilateral Development Banks, Menna Elkadi

Theses and Dissertations

Over the last decade, Egypt has witnessed an increase in the number of Public-Private Partnership (PPP) projects, specifically in infrastructure, as a result of the growing interest and popularity of various entities participating in such projects. Public infrastructure systems are no longer thought to be exclusively provided by the government; instead, the private sector’s contribution in the provision of such services is increasing. However, not every PPP program has been equally effective or has made the optimum use of planning and decision-making. The possibility of a project failure as a result of poor risk allocation is increased, if the potential …

Designing An Interactive Application To Prevent Runway Incursion: A Systems Engineering Approach, Yixuan Cheng, Dahai Liu, Dennis Vincenzi, Donald S. Metscher

Journal of Aviation Technology and Engineering

Runway incursion is a leading cause of serious incidents and accidents at airports. A common cause of runway incursions is unfamiliarity with the airport layout. To address this, we designed an electronically interactive application intended as a practice tool for pilots during flight preparation. The aim of this application is to improve pilots’ familiarity with airports, ultimately helping to reduce runway incursions, with the goals of being interactive, affordable, easily accessible, and designed for use on mobile devices. We applied a systems engineering approach that adheres to human factors engineering principles to ensure user-friendly design and optimization of the interaction …

Reinforcing Polymer Flooding System With Dendritic Mesoporous Silica Nanoparticles For Improved Oil Recovery, Di Li, Yanling Wang, Baojun Bai, Ning Xu, Wenjing Shi, Yu Zhang, Wenhui Ding, Peixu Ma, Zan Gao

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Dendritic mesoporous silica nanoparticles (DMSNs), characterized by a high specific surface area and abundant hydroxyl groups, offer a promising approach to enhancing the performance of amphiphilic polymers in challenging enhanced oil recovery (EOR) conditions. In this study, DMSNs were successfully synthesized, and systematically evaluated for their impact on the solution properties of a betaine amphiphilic polymer (PADC). The unique "flower-like" mesoporous structure of DMSNs provided approximately 7-fold higher surface area than conventional SiO2, facilitating enhanced polymer-nanoparticle interactions. The DMSN/PADC composite system exhibited significantly improved viscosity, salt resistance, thermal tolerance, and shear resistance compared to PADC and SiO2/PADC systems. Quantum chemical …

Development Of A Basilar Membrane-Inspired Mechanical Spectrum Analyzer Using Metastructures For Enhanced Frequency Selectivity, Shantanu H. Chavan, Vijaya Venkata Narasimha Sriram Malladi

Michigan Tech Publications

This study introduces a mechanical spectrum analyzer (MSA) inspired by the tonotopic organization of the basilar membrane (BM), designed to achieve two critical features. First, it replicates the traveling-wave behavior of the BM, characterized by energy dissipation without reflections at the boundaries. Second, it enables the physical encoding of the wave energy into distinct spectral components. Moving beyond the conventional focus on metamaterial design, this research investigates wave propagation behavior and energy dissipation within metastructures, with particular attention to how individual unit cells absorb energy. To achieve these objectives, a metastructural design methodology is employed. Experimental characterization of metastructure samples …

In Memoriam - Nora Sabelli: Master Orchestrator Of Grant Programs And Mentor For Advancing The Interdisciplinary Learning Sciences Field, Eric Hamilton, Jeremy Roschelle, Roy Pea, Barbara Means, Louis Gomez, Kim Gomez, Nancy Butler Songer

Education Division Scholarship

On Friday, September 6, 2024, the learning sciences field lost a giant in Dr. Nora Sabelli, 87 years old, a personal mentor to many researchers and an inspiration to so many learning scientists and STEM leaders. Nora’s first professional career was as a computational chemist, and later she became a passionate leader in research for improving STEM education. Nora’s time as a senior program officer at the National Science Foundation’s (NSF) Education and Human Resources (EHR) directorate was legendary; she was a force of nature who reshaped funding priorities for stronger science and a stronger connection of science to education …

Assessment Of Risk Factor Prediction Using Machine Learning Techniques And Hybrid Approach Based On Soft Sets, Menaga A

Theses and Dissertations

Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, and India reports a significantly high death rate due to its large population base and the increasing prevalence of non-communicable diseases. National statistics indicate that 20–27% of deaths in India are attributed to CVDs, with the proportion steadily rising over the years. Recognizing the urgency of early detection and risk prevention, the World Health Organization (WHO) introduced “The Global Action Plan for the Prevention and Control of Non-Communicable Diseases (2013–2020),” emphasizing early identification, risk reduction, and timely treatment. In this context, decision-making applications have gained importance across domains especially healthcare …

Assessing Water Quantity And Quality In The Mississippi River Valley Alluvial Aquifer And Coastal Louisiana Through Integrated Airborne Electromagnetic And Borehole Data, Michael George Henin Attia Khalil

LSU Doctoral Dissertations

Numerical modeling has contributed significantly to the understanding of groundwater systems. Many challenges are associated with constructing groundwater models which include an accurate understanding of the geology and aquifer parameters estimation. Traditionally boreholes are a successful way to capture geological features, however, boreholes often have sparse data. Airborne electromagnetic (AEM) data allows for efficient and cost-effective surveying of large areas, providing valuable information about the subsurface electrical resistivity. By bridging the gap between boreholes, AEM data offers a broader view of the aquifer system's structure and heterogeneity. However, interpreting geophysical AEM data has uncertainties. Developing a framework to apply the …

Hierarchical Analysis Of Us Electric Vehicle Subsidies For Carbon Emission Mitigation, Boman Su, Kang Shen, Chris Yuan

Faculty Scholarship

Electric vehicle (EV) adoptions are promoted with subsidies to reduce greenhouse gas emissions from ground transportation. In this paper, a hierarchical analysis is presented on the potential of greenhouse gas emission mitigation via the electric vehicle subsidy policy at state level in the US, through research of environmental and economic fundamentals of electric vehicle operations, energy consumptions, battery degradation and service life. It has been found that restructuring the federal subsidies to promote EV adoption can significantly reduce greenhouse gas emissions across the US. The reduction costs of greenhouse gas emissions vary between $1167.44/ton in Vermont to $6880.13/ton in Wyoming. …

A Precoding, Companding, And Nonlinearity Reduction Approach To Optimize High-Speed Ado-Ofdm For Visible Light Communication, Swaminathan S

Theses and Dissertations

Using light-emitting diodes (LEDs) for data transfer, visible light communication (VLC) presents a strong substitute for radio frequency communication. Yet, because of the non-linearity of LEDs, conventional Orthogonal Frequency-Division Multiplexing (OFDM) approaches in VLC are limited regarding spectrum efficiency, peak-to-average power ratio (PAPR), and system linearity. Multi-carrier asymmetrically Clipped Optical OFDM (MADO-OFDM) is introduced in this study. For VLC operations based on Optical Orthogonal Frequency Division Multiplexing (O-OFDM), a model-driven Deep Learning (DL) approach has been presented. Utilizing an Auto Encoder (AE) network technology reduced the non-linearity of the LEDs. A proposed improved ADO-OFDM protocol, called MADO-OFDM, adaptively modifies the …

Aquatic Quality Watch Informed By Communities (Aqwic) Facilitating The Adoption Of Low-Cost Sensor Systems For Underserved Communities: A Review And Tutorial, Josiah Hacker, Fatima Iqbal, Matias Osuna, Osely Perea, Keiner Sánchez, Christopher Page, Jamie Torres, Md Nizam Uddin, Hannah Walden, Mikko Westerbeke, Astana Woody, Nazly Enith Rubio Murillo, Francisco Cubas, Farith Diaz-Arriaga, Lewis Stetson Rowles

Civil Engineering & Construction: Faculty Publications

This tutorial review addresses the growing need for accessible water quality monitoring in rivers, lakes, and other surface waters. While commercial monitoring systems effectively serve water utilities and regulatory agencies, many communities lack the resources for regular water quality assessment. We present approaches for developing low-cost monitoring systems specifically designed for community-based environmental monitoring programs, citizen science initiatives, and educational applications. Through systematic analysis of 84 peer-reviewed papers on low-cost water quality monitoring, we identify key implementation approaches, common challenges, and successful design strategies. This analysis informs our tutorial recommendations and provides evidence-based guidance for system development. Specifically, we introduce …

A Cnt Intercalated Co Porphyrin-Based Metal Organic Framework Catalyst For Oxygen Reduction Reaction, Pei-Pei He, Jin-Hua Shi, Xiao-Yu Li, Ming-Jie Liu, Zhou Fang, Jing He, Zhong-Jian Li, Xin-Sheng Peng, Qing-Gang He

Journal of Electrochemistry

The poor electronic conductivity of metal-organic framework (MOF) materials hinders their direct application in the field of electrocatalysis in fuel cells. Herein, we proposed a strategy of embedding carbon nanotubes (CNTs) during the growth process of MOF crystals, synthesizing a metalloporphyrin-based MOF catalyst TCPPCo-MOF-CNT with a unique CNT-intercalated MOF structure. Physical characterization revealed that the CNTs enhance the overall conductivity while retaining the original characteristics of the MOF and metalloporphyrin. Simultaneously, the insertion of CNTs generated adequate mesopores and created a hierarchical porous structure that enhances mass transfer efficiency. X-ray photoelectron spectroscopic analysis confirmed that the C atom in CNT …

New Insights Into Controlling The Functional Properties Of Tin Oxide-Based Materials, Alexandra Kuriganova, Nina Smirnova

Journal of Electrochemistry

Development of methodologies for fabrications of nanostructured materials that provide control over their microstructural features and compositions represents a fundamental step in the advancement of technologies for productions of materials with well-defined functional properties. Pulse electrolysis, a top-down electrochemical approach, has been demonstrated to be a viable method for producing nanostructured materials with a particular efficacy in the synthesis of tin oxides. This method allows for significant control over the composition and shape of the resulting tin oxides particles by modifying the anionic composition of the aqueous electrolyte, obviating the need for additional capping agents in the synthesis process and …

Nanostructured Graphitic Carbon Nitride For Photocatalytic And Electrochemical Applications, Muhammad Abdul Qadeer, Iqra Fareed, Asif Hussaine, Muhammad Asim Farid, Sadia Nazir, Faheem K. Butt, Ji-Jun Zou, Muhammad Tahir, Shang-Feng Du

Journal of Electrochemistry

Graphitic carbon nitride (g-C₃N₄) exhibits great mechanical as well as thermal characteristics, making it a valuable material for use in photoelectric conversion devices, an accelerator for synthesis of organic compounds, an electrolyte for fuel cell applications or power sources, and a hydrogen storage substance and a fluorescence detector. It is fabricated using different methods, and there is a variety of morphologies and nanostructures such as zero to three dimensions that have been designed for different purposes. There are many reports about g-C₃N₄ in recent years, but a comprehensive review which covers nanostructure dimensions …

Field-Scale Investigation Of Co2 Plume Dynamics Under Spatial Wettability Variations: Implications For Geological Co2 Storage, Haiyang Zhang, Mohamed Mahmoud, Stefan Iglauer, Muhammad Arif

Research outputs 2022 to 2026

Subsurface formations typically exhibit heterogeneous wetting characteristics due to the complex pore system, mixed lithology, and prolonged contact with native fluids. This non-uniformity in spatial wettability distribution thus makes the subsurface formations exhibit more complex localized CO2/brine/rock interactions, introducing uncertainties in estimating trapping capacity and predicting CO2 plume migration. Field-scale investigation on the role of wettability in CO2 geo-storage has received limited attention, and previous studies typically assume an internal uniform wettability condition across the whole formation. However, the more realistic scenario of internal wettability spatial variations within a single formation is yet to be thoroughly examined. In this study, …