Engineering Commons^™

Real-Time Ai-Enabled Therapeutic Device For Improving Peripheral Perfusion And Glucose Regulation In Type 2 Diabetes, Torryana Tanis

Undergraduate Research Symposium Posters

Type 2 Diabetes Mellitus is frequently accompanied by peripheral microvascular disease, leading to impaired lower limb perfusion, impaired healing, and vulnerability to ulcers and amputation. The existing medical devices are predominantly aimed at systemic glucose control and do not have local therapeutic intervention to improve circulation or allow muscular glucose delivery. To meet this crucial demand, we have developed a portable, two-in-one biofeedback device that combines non-invasive blood glucose monitoring and Electronic Muscle Stimulation (EMS) therapy for the calf muscle. The glucose monitoring subsystem implements near-infrared (NIR) spectroscopy to measure skin light absorptance on the index finger. Real-time blood glucose …

Digital Twin Of The Unlv Campus For Safe Autonomous Vehicle Simulation, Carlos Funes

Undergraduate Research Symposium Posters

With the rise of artificial intelligence and machine learning algorithms, self-driving cars are becoming increasingly prevalent on our roads. By utilizing these technologies, we can reduce the number of accidents caused by distracted driving. Before implementing these systems in vehicles, however, it is essential to conduct numerous tests. Traditional evaluation of driverless cars on real-world roads can be both expensive and hazardous. To address this, creating a digital twin of an actual road minimizes unexpected hazards, allowing researchers to safely and efficiently test self-driving car programs in high-risk scenarios using computer simulations. This research outlines the process of generating a …

Diving Video Analysis Using Multitask Learning Action Quality Assessment (Mtl-Aqa), Taylor Gauthier

Undergraduate Research Symposium Posters

In many sports, videos are being used to assist in judging. For example, they are being used to review quick actions or confirm the actions being performed. For diving specifically, the videos of a dive can be at most 3 seconds long, and divers can perform a range of somersaults and twists within that time frame, all of which affect the score, classification, and dive number. Using these videos, a Multitask Learning Action Quality Assessment (ML-AQA) program, based on machine learning, from a vast dataset, is able to produce an Action Quality Score out of 100, Factorized Action Recognition (classifications), …

Capacity, Allocation And Update Dynamics Of Human Memory Systems, Shaoying Wang

Electronic Theses and Dissertations

Information is encoded and stored in three types of memory: sensory memory (SM), short-term memory (STM), and long-term memory (LTM). SM has a large capacity but retains information for only a brief period. When information transfers to STM, only a limited amount can be stored. Information in STM can then be transferred to LTM, which has a much larger capacity and longer retention time. STM is often conceptualized as working memory (WM) to highlight its role in active information processing. Due to the limited capacity of STM, it is commonly believed that STM serves as the bottleneck for information processing. …

Preliminary Investigation Of Cislunar Disposal Reachability Via Electric Propulsion For Selected L2 Lagrange Point Orbit Families, Ryan M. Sargent, Robert A. Bettinger, Carl R. Hartsfield

Faculty Publications

This paper investigates the disposal of end-of-life spacecraft from selected orbit families in the Earth-Moon system, specifically the L₂ Lyapunov and Halo families. Rather than focusing on impulsive burns with chemical propulsion systems, this paper examines disposal using continuous thrust generated by Hall thrusters, a form of electric propulsion. Leveraging the Circular Restricted Three Body Problem (CR3BP) as the dynamical framework, various levels of ΔV are evaluated in single-maximum burn and multiple-burn concepts of operation to evaluate the potential for spacecraft minimizing their transit of cislunar space and reaching the Earth’s gravitational sphere of influence in order to enter …

Rehabilitation Of Reinforced Concrete Columns Pre-Damaged By Corrosion Using Advanced Composite Materials, Feras Farid Abu Obaida

Thesis/ Dissertation Defenses

Reinforced concrete (RC) columns exposed to aggressive environments are highly susceptible to corrosion-induced deterioration, resulting in significant reductions in load-carrying capacity. This research investigates the structural performance of RC circular short columns with varying levels of corrosion damage and evaluates the effectiveness of two composite-based repair techniques, namely carbon fabric-reinforced cementitious matrix (C-FRCM) and carbon fiber-reinforced polymer (C-FRP) composites, combined with concrete cover replacement. The study aims to establish these methods as practical solutions for rehabilitating corrosion-damaged columns under concentric and eccentric loading conditions. The experimental program included 30 RC column specimens tested in two phases. Phase I involved thirteen …

A Novel Drug-Loaded Injectable Hydrogel System Using Oxidized Inulin And Pluronic F-127 With Β-Cyclodextrin Nanocrystals For Ocular Defect Treatment, Salama Al Dhaheri

Thesis/ Dissertation Defenses

The human eyes have the most complex and advanced defence mechanisms. Due to this barrier, efficient treatment of ocular disorders is always a crucial issue, especially while treating the posterior segment of the eyes. Most of the diseases occurring in the posterior segment of the eyes include age-related macular degeneration, retinitis, diabetic retinopathy and uveitis. Topical and systemic administration of drugs, intravitreal injection, and insertion of non-biodegradable implants are several different approaches employed to treat ocular diseases. These methods have shown promising results in treating age-related macular degeneration but require higher dosage and multiple administration of the drug to the …

Bioactive Membrane System For Efficient Emerging Pollutants Treatment, Ayat El Telib El Tayeb

Thesis/ Dissertation Defenses

Emerging pollutants (EPs), such as pharmaceuticals and personal care products, are increasingly detected in municipal wastewater due to household discharge and improper industrial disposal. Their persistence and ecological risks pose major challenges to conventional treatment technologies. Among advanced options, membrane filtration, particularly microfiltration and ultrafiltration, has gained prominence for its efficiency and scalability. However, membrane fouling, especially biological and chemical fouling, remains a critical barrier, accounting for nearly half of total energy consumption and requiring frequent use of harsh chemical cleaning agents that further burden the environment.

This PhD research addresses these challenges by developing and evaluating hybrid bioactive enzyme-active …

Downdrag Defeated – The Neutral Plane Method, Kyle L. Zak, Min Sang Lee

Civil Engineering Professional Development Seminar

The neutral plane method for evaluating downdrag on deep foundations has been gaining popularity over the past few years. It is a powerful tool that, in many situations, can all but eliminate downdrag concerns on deep foundations. INDOT has allowed its use recently and adapted its forms to accommodate this method. The presentation will cover the theory behind the method and how it can be applied in bridge design. We will then demonstrate how to incorporate the method into the INDOT workflow, and we’ll show a couple real-life examples where the neutral plane method saved the day.

Curbless By Design: Revitalizing Downtown Infrastructure For Pedestrians, Alex Duran, Steve Cherry

Civil Engineering Professional Development Seminar

This presentation will discuss the design of a curbless, pedestrian-focused corridor as part of a small-town downtown reconstruction in Sylvania, Ohio. The project team will share how they balanced community goals, accessibility, and utility coordination, along with considerations for drainage, hardscape, lighting, and power. The session will also highlight early construction lessons learned from Phase 1.

Guardrail Design And Placement 101, Katherine Smutzer

Civil Engineering Professional Development Seminar

Not all “guardrail” is created equal. Within the last 10 years INDOT has adopted the MASH-compliant Midwest Guardrail System (MGS). While similar to the previous standard w-beam guardrail, there are nuances that aren’t well understood by designers. The presentation would reinforce the fundamentals of guardrail as a safety barrier, explain the function of various components of a guardrail system, and review important design considerations.

Mass Timber Construction: Products, Performance And Design, Anthony Harvey

Civil Engineering Professional Development Seminar

Due to their high strength, dimensional stability and positive environmental performance, mass timber building products are quickly becoming materials of choice for sustainably‐minded designers. This presentation will provide a detailed look at the variety of mass timber products available, including glue‐laminated timber (glulam), cross laminated timber (CLT), nail laminated timber (NLT), heavy timber decking, and other engineered and composite systems. Applications for the use of these products under modern building codes will be discussed, and examples of their use in U.S. projects reviewed. Mass timber’s ability to act as both structure and exposed finish will also be highlighted, as will …

Water Quality Assessment Of The Tigris River In Baghdad Using The Canadian Council Of Ministers Of The Environment Water Quality Index (Ccme-Wqi), Talib Kamil Abed, Muwafaq Hussein Al-Lami, Abass J. Kadhem, Moayed Nasser Muslim, Zainab Bahaa Mohammed

AUIQ Technical Engineering Science

The objective of this study was to assess the water quality of the Tigris River in Baghdad and its northern areas through the application of the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI). The study was conducted over two distinct periods representing dry (summer) and wet (winter) seasons over a 12-month period in 2021, encompassing nine strategic sampling sites along the river from Al-Karkh to Al-Wihda. Water samples were analyzed for sixteen physicochemical parameters including turbidity, alkalinity, total hardness, major ions, nutrients, and trace metals. The study revealed that water quality ranged from poor to marginal …

Simulation Of Rocket Response To Electromagnetic Environments Using Finite Element Modeling, Eden Powers

Fall Showcase for Research and Creative Inquiry

The purpose of this project is to develop a rocket model in FEMAP with NX-Nastran to simulate how a rocket might respond when exposed to external electromagnetic conditions. A simplified model of the SpaceX Starship will be constructed and analyzed to explore how various electromagnetic conditions interact with the rocket’s materials and geometry.

Safety, Security, And… Beavers? An Engineer's Low-Tech Climate Strategy, Matt Mullins

University College: Environmental Policy and Management Capstones

Colorado’s headwaters are the source of drinking water to millions and are a key pillar of the state’s tourism industry. Consequently, they are some of the most vulnerable areas to natural disasters including wildfires, droughts and flooding. Climate change will increase the severity and frequency of these natural disasters. This project focuses on some of the most vulnerable areas from an economic and climate change perspective of Colorado’s headwaters including the Big Thompson River, and the Colorado River. These headwaters located in and around Estes Park, Grand Lake and Rocky Mountain National Park are currently severely impaired. Low-tech process-based restoration …

Synergistic Doping And Coating Strategy For Boosting Na0.7mno2 Cathode Performance In Sodium-Ion Batteries, Ahmad Helaley, Han Yu, Manashi Nath, Xinhua Liang

Chemistry Faculty Research & Creative Works

Advancing sodium-ion battery (SIB) technology requires novel approaches to optimize cathode materials for improved electrochemical performance. In this study, we employ atomic layer deposition (ALD) to precisely modify the surface of P2-type Na_0.7MnO₂ cathodes with different coating materials including ZnO, NiO, and Al₂O₃, followed by post-annealing at 750°C for 10 hours. The strategic combination of ALD and thermal treatment can achieve thin film coating on particle surface and promote element doping into the near-surface lattice, as confirmed by electron energy loss spectroscopy (EELS) analysis. The incorporation of Zn, Al, and Ni results in …

Cytotoxicity And Genotoxicity Of Glyphosate And Roundup Quickpro On Chinese Hamster Ovary Cells, Tasnimul Ferdous, Qingfang He, Wen Zhang

Civil Engineering Faculty Publications and Presentations

Glyphosate and Roundup products have become the most used herbicide worldwide. However, previous bans in Europe and recent reversal have caused confusion over their safety. This study aims to investigate the cytotoxic and genotoxic effects of Roundup QuickPro and its main ingredient glyphosate using Chinese hamster ovary (CHO) cells. Cytotoxicity was calculated by measuring CHO cell viability with 72 h of exposure to each toxicant. Roundup QuickPro exhibited higher cytotoxicity with LC50 of 511.2 mu g/mL than glyphosate's LC50 of 3389 mu g/mL. The recommended application concentration (11,233.7 mu g/mL) of Roundup QuickPro is much higher than the measured LC50, …

Characterization And Evaluation Of Next-Generation Photon-Counting Image Sensors For Space Applications, Nicholas Shade, Gillian Kyne, Shouleh Nikzad, Edoardo Charbon, Eric R. Fossum

Dartmouth Scholarship

Astronomers’ pursuit of imaging light from increasingly faint and distant objects in the expanse of space necessitates continuous improvement in the signal-to-noise ratio of camera technology. Recent advancements in solid-state detector technologies have enabled the determination of photon number, including single-photon events, enabling observations at the fundamental limits of physics. We present an evaluation of three next-generation silicon-based detectors capable of photon-counting with deep-sub-electron input-referred read noise: the electron-multiplying charge-coupled device (EMCCD), the single-photon avalanche diode (SPAD), and the CMOS quanta image sensor (QIS). The EMCCD is built using a CCD sensor design that additionally employs repeated impact ionization to …

Parentcoach: Designing An Mhealth Parenting App To Enhance Parental Involvement In Adhd Support, Franceli L. Cibrian, Nancy Herrera, Jesus A. Beltran, Lucas M. Silva, Mikaela Pulse, Kayla Anderson, Cassie Zeiler, Luc Rieffel, Daniel I. Lee, Sabrina E. B. Schuck, Kimberley D. Lakes

Engineering Faculty Articles and Research

Introduction: Parents play a vital role in supporting self-regulation and managing behaviors in children with Attention-Deficit/Hyperactivity Disorder (ADHD). However, many face barriers to accessing consistent, evidence-based support. Mobile health (mHealth) technologies offer a promising way to deliver flexible, low-burden guidance for parents on best practices and strategies to support their children's self-regulation. However, designing them is non-trivial.

Objective: This paper introduces ParentCoach, a mobile application designed to support parents of children with ADHD through brief daily lessons, reflection prompts, and skill-building activities.

Methods: ParentCoach was developed in two phases: (1) secondary analysis of qualitative data from over 30 families …

Carbon-Neutral Concrete: A Review On Carbon Capture, Storage, And Utilization Technologies, Syed Muhammad O Naqvi, Muhammad Daniyal Raza, Syed Muhammad Bilal Haider

Civil Engineering Faculty Publications

Concrete industry is responsible for approximately 7% of total CO2 emissions around the globe making it a critical target for decarbonization. This review study evaluates carbon capture, utilization, and storage (CCUS) technologies applicability in concrete industry with a focus on direct air capture (DAC), CO2 curing, mineral carbonation, and incorporation of carbonated recycled aggregates and alternative binders. Emphasis is placed on the mechanisms of various CCUS technologies, economic feasibility, environmental benefits, mechanical performance, and current challenges in their application and scalability aiming to optimize the structural efficiency, carbon uptake, and cost of concrete structures. Case studies from industrial implementations, such …

Experiential Learning And The Revitalization Of Manufacturing Education At The University Of Dayton, Sean Cahill

Research and Reflection on Learning and Teaching in Higher Education

This perspective paper explores the role of experiential learning in preparing future-ready manufacturing engineers at the University of Dayton, set against the backdrop of Dayton’s legacy as an industrial innovator and the broader national movement to revitalize domestic manufacturing. As automation, cyber-physical systems, and Industry 4.0 technologies reshape the manufacturing landscape, there is a growing need for engineers who possess both technical fluency and systems-thinking capabilities. To meet this need, the manufacturing engineering technology department implemented hands-on, integrated lab-and-lecture modules through support from the Experiential Learning Innovation Fund for Faculty (ELIFF). Grounded in Kolb’s Experiential Learning Theory and constructivist learning …

Designing And Writing Effective Data Management Plans For Grant Proposals, Rubab Shahzad, Ibis Anette Moreno-Lozano

Day Family Research Lab Workshop Series

Fundamentals of research data management and how to create effective Data Management Plans (DMPs).

Numerical Modeling Of Circular Reinforced Concrete Columns Confined With Frcm Composites, Ahmed Khaled Elzaher

Thesis/ Dissertation Defenses

Fabric-reinforced cementitious matrix (FRCM) composites are considered a promising alternative for strengthening reinforced concrete (RC) columns due to the noncorrosive nature of the fiber strands and the enhanced thermal resistance of the cementitious mortar. The interaction between the confinement provided by the internal steel ties and the external FRCM composites represents a key parameter that has not yet been thoroughly investigated. The complexity of this combined FRCM–steel confinement mechanism increases under eccentric compression loading, which is commonly encountered in practical applications. This study aimed to investigate the structural behavior of short circular RC columns confined with FRCM composites under concentric …

Bending Energy Schemes For Discrete-Spring-Network Structural Modelling Of Red Blood Cells, Osayomwanbor Ehi-Egharevba, Mingzhu Chen, Fergal Boyle

Articles

Red blood cells (RBCs) undergo large structural deformation, including bending, when passing through capillaries. They also exhibit a range of complex shapes such as stomatocytes, discocytes and echinocytes that form due to altered blood pH and salt levels, ingested drugs and adenosine triphosphate depletion. Discrete-spring-network structural models of RBCs employ different numerical treatments of the continuum bending energy. This affects bending accuracy and the prediction of accurate RBC shapes. This research compares three representations called bending energy scheme (BES) A, B and C to evaluate their accuracy in shape predictions. BES A, seen throughout the literature, is based on the …

Prediction Model Of Storage Quality Change And Shelf Life Of Dried Pork Slice, Chen Xiaohe, Qian Ping, Huang Ning, Yang Ran, Qu Lingbo, Zhao Changcheng, Li Chunxia

Food and Machinery

[Objective] To investigate the quality changes of dried pork slices under different temperature storage conditions and to predict their shelf life. [Methods] Hardness, color parameters (L* value, a* value, b* value ), and sensory quality of dried pork slices were investigated under storage at 25, 35, 45, and 55℃. Pearson correlation analysis was performed for each index, and the key index was fitted using a dynamic model. Combining the Arrhenius equation with the Q10 model, a shelf life prediction model was established. [Results] Under storage at 25, 35, 45, and 55 ℃, the a* value of dried pork slices decreased …

Optimization Of Bioethanol From Plantain Peel Using Saccharomyces Cerevisiae, Akinjide A. Akinola, Olawole O. Olanipekun, Paul A. David

Mansoura Engineering Journal

This research aimed to evaluate the potential of using plantain peels as a raw material for producing bioethanol with the help of Saccharomyces cerevisiae. The study utilized a four-factor Box-Behnken design (BBD) and response surface methodology (RSM) to optimize the fermentation conditions. The factors considered for optimization were substrate concentration (1-4 g), pH (5-7), temperature (30-45°C), and fermentation time (24-96 hours). Through this optimization process, the study found that the optimal conditions for bioethanol production were 4 g substrate concentration, pH 6, 45°C temperature, and 60 hours of fermentation time. Utilizing these optimal conditions resulted in a bioethanol yield of …

Integrating Complete Bond Dissociation In Class Ii Force Fields, Joshua Kemppainen, Hendrik Heinz, Gregory M. Odegard

Michigan Tech Publications

Predicting the physical and mechanical properties of organic materials from purely chemical understandings remains a significant challenge due to the limitations of conventional force fields in molecular dynamics (MD). In this work, we present a novel reformulation of Class II force fields that integrates Morse bond potentials with newly derived cross-term interactions, explicitly capturing complete bond dissociation while maintaining computational efficiency. This reformulated functional form combines the stability of fixed-bond models with the reactive capabilities of bond-breaking force fields, achieving accurate and robust MD predictions across crystalline, semi-crystalline, and amorphous organic systems. Extensive benchmarking confirms its predictive accuracy and speed, …

Microgrid Black Start Challenges: The Role Of Grid-Forming Inverters, Gab-Su Seo, Wenzong Wang, Behrooz Mirafzal

Faculty Publications

Grid-forming (GFM) inverters are becoming increasingly important for future power systems, particularly in establishing and restarting microgrids after blackouts. The use of GFM inverters enables microgrids to operate independently of utility power and provide key advantages over synchronous generators in black start scenarios, including rapid startup and stable voltage and frequency support for critical loads. However, inverter-driven black start introduces unique challenges and operational considerations. This article examines key challenges and solutions, emphasizing inverter design, control strategies, and microgrid system requirements. Drawing on analysis, simulation, and experimental results, this article highlights the central role of GFM inverters in ensuring reliable …

Recognition Of Bangla And English Words In Bengali Texts Using A Modified Bert-Base-Ner Model, Md Parvez Hossain, Ohidujjaman Ohidujjaman, Mohammad Shorif Uddin, Mohammad Nurul Huda, Tetsuya Shimamura

Iraqi Journal for Computer Science and Mathematics

A fusion of Bangla and English words is frequently utilized, especially on social media. This phenomenon significantly hampers the learning and preservation of the Bengali language among future generations. This paper proposes a model to recognize Bangla and English words in Bengali texts. In addition, this study converts the detected English words into standard Bangla words. In this work, we redesign the BERT-base-NER model using the training input dataset. BERT is chosen for its strong contextual representation capabilities, which are well-suited to noisy and informal text. BERT-base-NER provides strong contextual embeddings but treats token labels independently, lacking explicit modeling of …

Data-Centric Ai For Eeg-Based Emotion Recognition: Noise Filtering And Augmentation Strategies, Nadieh Moghadam, Rana Hegazy

School of Engineering: Faculty Scholarship

Research in the biomedical field often faces challenges due to the scarcity and high cost of data, which significantly limit the development and application of machine learning models. This paper introduces a data-centric AI framework for EEG-based emotion recognition that emphasizes improving data quality rather than model complexity. Instead of proposing a deep architecture, we demonstrate how participant-guided noise filtering combined with systematic data augmentation can substantially enhance system performance across multiple classification settings: binary (high vs. low arousal), four-quadrant emotions, and seven discrete emotions. Using the SEED-VII dataset, we show that these strategies consistently improve accuracy and F1 scores, …