Engineering Commons^™

Mission Engineering Competencies Workshop Report: Roles, Responsibilities, And Skills, James D. Moreland, Jr. (Editor), Thomas Irwin, Robert-Allen Baker

Center for Mission Engineering (CME) Publications

This report summarizes the findings of a two-day Old Dominion University Mission Engineering Workshop involving the U.S. Navy, U.S. Marine Corps, U.S. Air Force, National Aeronautics and Space Administration, the University of New South Wales, and Old Dominion University, focused on defining the roles, competencies, and skills essential to Mission Engineering. It presents a structured competency framework and offers recommendations to guide workforce development, training, and cross-agency collaboration in support of complex, mission-driven systems.

Fruits & Flowers, Ashley S. Mcguire

Patent Coloring Books

Patent coloring book

Aeolus-Ds: Dust-Aware Ai Decision Support For Coccidioidomycosis (Valley Fever) — A Design Science Research Framework Integrating Aerosol Remote Sensing, Land Disturbance, And Clinical Sentinel Signals, Harsha Sammangi, Aditya Jagatha, Harshini Balaga

Research & Publications

This paper presents Aeolus-DS, a design science research (DSR) artifact that integrates aerosol remote sensing (MAIAC AOD; dust fraction), mesoscale meteorology and soil moisture (ERA5), land-disturbance telemetry (construction, off-road vehicle activity, nightlights) and clinical sentinel signals (syndromic ED chief complaints, pneumonia rule-out) into a dust-aware, AI-driven early warning and decision-support system for Coccidioidomycosis (Valley Fever). Methodologically, we propose a graph spatiotemporal transformer with direction-aware attention and physics-guided regularisation reflecting aeolian transport. Using county-week panels (2014-2024) for the U.S. Southwest (AZ–CA–NV), Aeolus-DS improves now-casting mean absolute error (MAE) by 18% and two-week area under precision-recall curve (AUPRC) by 21% over …

Building Social Butterflies And Learning Circles: The Key To Organizational Safety Potential, Trevor Farr

ASEM Capstones

2025 ASEM 620 Capstone Project

Dataset Description, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric dataset containing data collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. A model desert terrain model was constructed and imaged for eight different scenarios consisting of different model panel and vehicle targets. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Gis-Based Swat Modeling For Surface Runoff Assessment To Support Urban Flood Resilience In Central Java, Indonesia, Putri Amalia Sholichah Ms., Endah Sulistyawati, Susana Paulina Dewi

Smart City

Surface runoff significantly contributes to environmental hazards such as floods in Indonesia, including in Borobudur District. Based on watershed delineation, the administrative area of Borobudur District is predominantly located within the Sileng Subwatershed. The rehabilitation zones managed by PT Adaro Indonesia are located in several specific areas within this subwatershed. This study utilizes the SWAT (Soil and Water Assessment Tool) model integrated with GIS (Geographic Information System) to simulate surface runoff quantitaively in the Sileng subwatershed, part of the Progo watershed in Central Java Province. SWAT is applied in this research to simulate surface runoff in both watershed and …

Improving The Efficiency Of Wells Turbines In Wave Energy Harvesting Using Computer Simulations, Godfred Abotar-Aidoo, Isaac Plange

ASPIRE 2026

Oscillating Water Columns (OWCs) are among the most promising wave energy converters for harnessing renewable power from ocean waves. These systems use a bi-directional airflow to drive a Wells turbine connected to a generator. However, the turbine’s efficiency is limited by flow separation and stall at high angles of attack. To address this, we investigated the effect of passive flow control by adding stability strips along the suction side of the turbine blades. The unsteady Reynolds-Averaged Navier–Stokes (RANS) equations, coupled with the k–ω SST turbulence model, were solved in ANSYS CFX 2025 R1 to evaluate the aerodynamic performance. Non-dimensional performance …

Tkbe : Two Key Broadcast Encryption For The Iot, Rachit Parikh

Master’s Dissertations

The growing usage of the Internet of Things (IoT) has made it necessary to ensure

the security of these interconnected devices. Key management becomes particularly

challenging when devices are not always online due to resource constraints or business

decisions. Moreover, the IoT infrastructure typically relies on the publish-subscribe

model for communication, which raises additional security considerations since the

message broker becomes a central point of attack. Existing solutions with end-toend

encryption from publisher to subscriber are either computationally expensive for

resource constrained devices or compromise on the decoupling in publish/subscribe

systems. This thesis tackles the problem of efficient key management …

Uncertainty-Driven Fusion For Conflictive Multiview Data: Beyond View Alignment Assumptions, Puspamalya Sahoo

Master’s Dissertations

Multiview learning aims to integrate diverse feature representations to achieve a comprehen- sive understanding of data. Traditional approaches often assume strict alignment across views, making them ill-suited for real-world scenarios where low-quality conflictive instances, i.e. in- stances with conflicting information across views are prevalent. Existing methods largely focus on eliminating conflicting instances by discarding them or substituting conflicting views, over- looking the need for practical decision making in such cases. Furthermore, while the recently proposed Reliable Conflictive Multiview Learning (RCML) framework introduces the idea of attaching reliabilities to decision outcomes, it leaves certain theoretical gaps unaddressed, es-pecially prioritization of conflictive …

Nasa Design And Analysis Of Pegda Hydrogels For Microgreen Cultivation In Space, Kelly Wu, Gabriel Antigua, Artur Abramyan

Publications and Research

With the growth of the space economy worldwide, sustainable and soil-less food systems for long-duration space missions become increasingly important. In this study, Polyethylene Glycol Diacrylate (PEGDA) hydrogels were experimented with as a biocompatible medium in arugula microgreen growth without utilizing soil. Among the most considerable challenges was the fact that the plants' root growth exceeded the hydrogel capacity, which caused seedling dislodgment and starvation. To combat this, computer-aided design (CAD) was utilized to 3D print different mold designs to try and control root development further. The most promising of these designs were coil and tree-branch molds, promoting lateral or …

Creating Blood Analogs To Mimic Steady-State Non-Newtonian Shear-Thinning Characteristics Under Various Thermal Conditions, Hang Yi, Alexander Wang, Christopher Wang, Jared Chong, Chungyiu Ma, Luke Bramlage, Bryan Ludwig, Zifeng Yang

Mechanical and Materials Engineering Faculty Publications

Blood analogs are widely employed in in vitro experiments such as particle image velocity (PIV) to secure hemodynamics, assisting pathophysiological diagnoses of neurovascular and cardiovascular diseases, as well as pre-surgical planning and intraoperative orientation. To obtain accurate physical parameters, which are critical for diagnosis and treatment, blood analogs should exhibit realistic non-Newtonian shear-thinning features. In this study, two types of blood analogs working under room temperature (293.15 K) were created to mimic the steady-state shear-thinning features of blood over a temperature range of 295 to 312 K and a shear range of 1~250 s−1 at a hematocrit of ~40%. Type …

Sidesense: Robust Physiological Motion Detection Via Mmwave Joint Communication And Sensing Systems With Multiple Beams, Mohammed Shadman Ishrak, Jannatun Noor Sameera, Alvin Yang, Yanjun Pan, Yao Zheng, Olga Boric-Lubecke, Victor M. Lubecke

Electrical Engineering and Computer Science Faculty Publications and Presentations

A 28-GHz multibeam joint communication and sensing system called SideSense is presented, in which a line-of-sight (LoS) beam is used to maintain reliable communication, while other sensing beams are used to enhance physiological motion detection. SideSense decodes the motion frequency and shape from the channel state information (CSI) by first tuning the gain ratio and phase differences between the LoS communication beam and non-LoS (NLoS) beam to maximize the sensing signal-to-noise ratio (SSNR) without significantly degrading the communication channel capacity (CCC). Analytical results based on a bistatic model are presented to show a gain ratio of around 1 and a …

Enhancing Power System Operation: Hydrogen, Dc Transmission Systems, And Robust Optimization, Anping Zhou

Electrical Engineering Theses and Dissertations

The increasing penetration of renewable energy sources (RESs) has brought considerable economic and environmental benefits to power system operations. However, it also introduces several critical challenges that should be addressed to ensure system reliability and efficiency. First, from the generation side, energy curtailment remains a persistent issue due to the random and intermittent nature of RESs. Second, from the transmission side, delivering power from remote RESs (e.g., offshore wind farms) requires substantial infrastructure investment and careful planning. Third, from the operation side, the inherent uncertainty and variability of RES generation create operational difficulties that necessitate advanced mathematical optimization tools for …

Syntax-Enhanced Boundary-Aware Named Entity Recognition Model, Chuanming Yu, Bin Deng, Zhengang Zhang

Journal of Scientific Information Research

[Purpose/significance] This study addresses the issue of inadequate perception of entity boundaries in traditional character-level modeling-based named entity recognition models by integrating syntax information containing entity boundary features into the task using a multi-head graph attention network with dense connections. This integration enhances the effectiveness of named entity recognition.

[Method/process] This study proposes a Syntax-enhanced Boundary-aware Named Entity Recognition Model (SynBNER), which utilizes BERT for text semantic representation and integrates syntax information using a dense-connected graph attention network. This integration incorporates implicit entity boundary information from syntax information into word representations, thereby enhancing the model's entity boundary perception capability.

[Result/conclusion] …

Research On Technology Opportunity Identification By Integrating Technology Attribute Analysis And Competitive Environment Scanning —— A Case Study Of Industrial Robots, Daobin Gao

Journal of Scientific Information Research

[Purpose/significance] Placing technology opportunity identification in the perspective of technology attribute analysis and competitive environment scanning provides intelligence support for enterprises to select technology opportunities and formulate technology competitive strategies in complex and changing market competition environments.

[Method/process] Using patents as the data source, first, the BERTopic model is used to explore potential technical topics, Secondly, starting from the technical attributes, and from both global and local perspectives, we propose indicators of technical importance and technical attention, and use their cross screening to select candidate sets of technical opportunities, Finally, a market competition intensity index that takes into account market …

Differential Privacy Enabled Deep Skin Image Classification Model Development, Prasun Kumar Mandal

Master’s Dissertations

Abstract In the era of big data, the explosive growth in data volume has significantly accelerated the development of deep learning. Deep learning is the most promising area of AI, yielding significant advancements in medical image classification. However, healthcare data contains important sensitive information and so privacy and security are crucial to preventing unauthorized access. Note that there are several data protection rules from multiple regulations to penalize any kind of data security violation, for example, the data protection principles (Article 5.1-2) and the data protection by design and by default (Article 25) of the General Data Protection Regulation from …

Retraction: A Database Of Teleseismic Shear-Wave Splitting Measurements For The Ordos Block And Adjacent Areas(Seismological Research Letters (2022), 93, 5, (2731–2739), 10.1785/0220210310), Lin Liu, Stephen S. Gao, Kelly H. Liu, Tu Xue, Yan Jia, Sanzhong Li

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

An earlier version of this article (Liu et al., 2022) included private data from the Himalayan-III program which should not have been made public. The authors acknowledge and regret their negligence during the selection of the measurements. The impacted data represent only 2.7% of the total data published in this article, and after review, the authors and the editors agree that this unintentional error has no bearing on the work's scientific conclusions. Therefore, we are retracting the impacted data and have made corrections to remove any Himalayan-III program data from the article's text, figures, and supplemental tables.

Investigating The Thixotropy Of Fresh Struvite Cement-Based Composite: Insights On Mechanisms Of The Pastes’ Thixotropic Behavior, Ugochukwu Ewuzie, Abdulkareem O. Yusuf, Damilola Daramola, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Struvite (ST) recovered during wastewater treatment has been sparsely applied in cement-based composites. This study systematically evaluated the thixotropic behavior of cement-struvite (CST) pastes, a mix of 5–20 % ST by mass of cement, and proposed the interaction mechanisms leading to the pastes' thixotropy. The hysteresis loop area was used to establish the pastes' thixotropy and investigate its relationship with increased ST content, temperature, and yield stress. In the thixotropic behavior model used, the equilibrium shear stress was employed to examine the CST pastes' irreversible change; the characteristic time of deflocculation was used to study the flocs destruction process; and …

Gallium-Containing Bioactive Glasses: Their Influence On Ion Release And The Bioactivity Of Resulting Glass Polyalkenoate Cements, Lana Margaret Placek, Danielle Lee Perry, Mark Robert Towler, Anthony William Wren

Chemical and Biochemical Engineering Faculty Research & Creative Works

A series of glasses (0.48SiO2 − [0.40-x]ZnO − 0.12CaO-xGa2O3, x = 0, 0.8, 0.16) was developed to formulate a series of Ga-containing glass polyalkenoate cements (GPCs). The solubility of GPCs was tested using DI water, and it was found that the sample containing the highest mol% of Ga, LGa-2, had the most Ga ion release. The GPCs were incubated in SBF, and SEM/EDS analysis revealed that the at% of P increased, while the at% of Si decreased, highlighting the CaP precipitation on the GPC surface. The at% of Ga also decreased, reinforcing the Ga release from the GPC. Cellular testing …

Balancing Infrastructure Demands: Analysis Of Materials Pricing And Supply, Bethany Paris, Ying Li, Steve Waddle, Bryan Gibson

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) lets around 700 contracts year valued at over $1 billion. One of KYTC’s foremost goals is to deliver projects on time and on budget. However, over the past five years achieving these twin goals has grown in difficulty due to material shortages, widespread inflation, supply chain disruptions, and the tight labor market triggered by the COVID-19 pandemic. Although material shortages have abated and supply chain disruptions have eased, instability is seemingly a permanent feature of the national and global economies. As such, Cabinet decision makers need reliable tools that can be used to understand historical …

Vertical Hydrokinetic Turbine, Miki Harding, Ben E. Mertz

Rose-Hulman Undergraduate Research Publications

No abstract provided.

Enhanced Pavement Project Prioritization, Bryan Gibson, Jon Wilcoxson, Gayle Marks

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) is responsible for inspecting, maintaining, and improving 27,000 centerline miles of pavement. Given the vastness of the state’s transportation network, KYTC needs a robust method for prioritizing pavement preservation projects. The Cabinet has relied on pavement condition ratings, data collected using Laser Crack Measurement Systems, and input from district-level staff to prioritize these types of projects. But this approach overlooks information that should be considered, such as factors related to safety, mobility, and geographic context. To resolve these shortcomings, Kentucky Transportation Center (KTC) researchers worked with KYTC subject-matter experts to develop the Enhanced Pavement Prioritization …

Data-Driven Prediction Of Binder Rheological Performance In Rap/Ras-Containing Asphalt Mixtures, Eslam Deef-Allah, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Asphalt recycling technologies have advanced considerably over the last few decades with the utilization of reclaimed asphalt pavements (RAP) and recycled asphalt shingles (RAS). Characterizing aged and heterogeneous binders in these mixtures is challenging, particularly with limited extracted binders. This study suggests a data-driven framework that considers the rheological, chemical, and thermal characteristics to predict the binders' performance. Ninety-seven mixtures with 0–35% of the asphalt binder replaced with RAP/RAS binders were included as cores from the field, plant-produced mixtures, and laboratory-fabricated mixtures. The binders were chemically quantified using aging, aromatic, and aliphatic indices. Thermal analyses of the binders involved the …

Towards Accountability: A Primer On The Space Debris Problem And An Overview Of The Legal Issues Surrounding It, William Schonberg

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Since 1957, the near-Earth population of trackable space objects has grown in number to over 36,000. Of these 36,000+ trackable objects now in low Earth orbit, just a few thousand are working spacecraft. The rest are Earth-orbiting objects which are no longer operational and are considered to be space junk. Because this junk can no longer receive maneuvering commands from its Earth-based owners, the survivability of other spacecraft traveling through or operating in Earth orbit can be jeopardized by the impacts of any number of pieces of this space junk, whose origins can usually be traced back to defunct satellites. …

Introducing Hyflex Teaching Into Foundation Design, Juan Pablo Osorio

Case studies: Digital Education

Foundation Engineering is a postgraduate module in the ME in Civil Engineering, which covers the theoretical and practical aspects of the foundation design of structures, using lectures and tutorials as teaching methods. The module has 24 hours of direct contact with the lecturer and 76 hours of self-directed learning. This is a semester 2 module that follows Applied Geotechnical Engineering, which is delivered in semester 1 but is not a prerequisite. Both modules are optional in the programme; however, most students interested in the subject matter take both modules. The mode of delivery for both modules is usually online. For …

Introducing Hyflex Teaching In Geotechnical Engineering, Juan Pablo Osorio

Case studies: Digital Education

Geotechnical Engineering 2 is a third-year technical module in the BE in Civil Engineering and the BE in Structural Engineering, and it covers the theoretical and practical aspects of the retaining wall stability, foundation design and compressibility of soils. The two classes are merged together for it. It uses lectures, laboratories and tutorials as teaching methods. The module has 36 hours of direct contact and 64 hours of self-directed learning. It is a semester 2 core module that follows Geotechnical Engineering 1. The mode of delivery for both modules is in-person lectures at the lecture hall, with three laboratory practices …

Ai Tools In Natural Resources And Environmental Systems For The Classroom, Research, Extension And Industry, Derek M. Heeren, C. T. Agouridis, Debabrata Sahoo, Isaya Kisekka, Trisha L. Moore

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

This white paper synthesizes a series of panel insights on AI adoption across education, Extension, research and industry contexts within natural resources and environmental systems. It emphasizes that while advanced machine learning and generative AI introduce structural shifts in autonomy, scale, and cognitive augmentation, their value lies in augmenting, not replacing, human expertise. Applied tool examples include decision‑support systems for rural water operators, HAB‑diagnosis apps integrating image classification and natural‑language guidance, an irrigation educational chatbot tailored to user background, and sensor‑driven orchard AI for light interception estimation and data gap filling. A recurring design imperative involves co‑development with end users, …

Stabilizing Embankments Using Geosynthetic Reinforcement, Daryl Greer, Charlie Sun

Kentucky Transportation Center Research Report

Reinforced soil slopes (RSSs) can be a feasible solution for embankments where there exist right of way re-strictions, environmental issues, rolling or mountainous topography, unfavorable geology, and other limiting fac-tors. They can be an alternative to retaining walls or importing select fills to construct steeper, stable embankment slopes where flatter embankment slopes may result in unwanted impacts, costs, and maintenance issues. Thisreport discusses the advantages and limitations of using geosynthetic reinforcement to construct RSSs. Researchers investigated current design, specification, and construction practices to determine which practices can be adopted by the Kentucky Transportation Cabinet (KYTC). Specifications were developed for using …

Data-Driven Methods For Signal Analysis And Nonlinear System Identification, Cristian Felipe López Ruano

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

In recent years, data-driven modeling has gained considerable attention in nonlinear system identification, offering a powerful alternative to traditional physics-based methods. This has been possible by advances in machine learning, sparse regression, and differential equations in a weak form, which allow the accurate capture of complex nonlinear dynamics, even when the measurements are in strong background noise. Moreover, integrating these models with physical knowledge further enhances their reliability and interpretability, making them suitable for a wide range of science and engineering applications.

In this dissertation, we investigate algorithms for data-driven nonlinear system identification to obtain ordinary differential equations that govern …

Redundant Functions Of Mir156-Targeted Squamosa Promoter Binding Protein-Like Transcription Factors In Promoting Cauline Leaf Identity, Darren Manuela, Liren Du, Qi Zhang, Yifei Liao, Tieqiang Hu, Jim P. Fouracre, Mingli Xu

Faculty Publications

No abstract provided.