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The Optimization Of A T-Cell Resonator: Towards Highly Sensitive Photoacoustic Spectroscopy For Noninvasive Blood Glucose Detection, Thasin Mohammad Zaman, Md Rejvi Kaysir, Shazzad Rassel, Dayan Ban

Electrical and Computer Engineering Faculty Research

Noninvasive blood glucose monitoring is crucial for diabetes management, and photoacoustic spectroscopy (PAS) offers a promising solution by detecting glucose levels through human skin. However, weak acoustic signals in PAS systems require optimized resonator designs for enhanced detection sensitivity. Designing such resonators physically is complex, requiring the precise identification of critical parameters before practical implementation. This study focused on optimizing a T-shaped photoacoustic resonator using finite element modeling in a COMSOL Multiphysics environment. By systematically varying the geometric design parameters of the T-cell resonator, a maximum increase in the pressure amplitude of 12.76 times with a quality factor (Q-factor) of …

Validation Of Task-Based Risk Assessment (Tabra) As An Effective Risk Evaluation Tool For Manufacturing Machinery Systems, Rick Lemons

ASEM Capstones

2025 ASEM 620 Capstone Project

Measuring The Effects Of The Leaves On Stalk Strength And Dynamic Response In Maize, Grant C. Ogilvie

Theses and Dissertations

Maize is one of the most widely cultivated grains in the world, making it crucial to world food security and important economically. One major problem in maize production is stalk lodging (greensnap), which results in billions of dollars in lost harvests annually for maize farmers in the US alone. Understanding the mechanical properties of maize plants is crucial to addressing this problem. Previous studies have suggested that the leaf blades and leaf sheaths affect maize mechanical properties. The objectives of this thesis are twofold: to present measurement techniques for the stalk bending strength, damping ratio, and natural frequency of maize …

2025 Scholarly Productivity Report, Missouri University Of Science And Technology

Civil, Architectural and Environmental Engineering Scholarly Productivity Reports

No abstract provided.

Integrating Temperature-Dependent Tissue Properties Into Hifu Computational Models For Enhanced Treatment Planning, Christian Kevin Valencia Narva

Theses and Dissertations

Objective: High-intensity focused ultrasound (HIFU) is a non-invasive therapy that ablates diseased tissues with high precision. Computational simulations using the Pennes Bioheat Transfer Equation (PBTE) can guide HIFU treatment by predicting temperature distributions and thermal dose volumes. Traditional simulations assume constant thermal and acoustic properties, which may oversimplify tissue behavior. Methods: This study evaluates the impact of integrating temperature-dependent thermal properties (thermal conductivity, specific heat capacity, and perfusion) in finite-difference time-domain HIFU simulations. Three scenarios were simulated: (1) a homogeneous liver with both high- and low-power sonications, (2) a rabbit thigh muscle validated against preclinical MRTI data, and (3) an …

Continuous Purification Of A Parvovirus Using Two Aqueous Two-Phase Extraction Steps, Natalie Nold, Sheridan Waldack, Grace James, Trisha Colling, Lynn M. Manchester, Taravat Sarvari, Amanda P. Bekkala, Seth Kriz, Madison Baldwin, Emily Agustin-Mazariegos, Michael J. Betenbaugh, Caryn Heldt

Michigan Tech Publications

Aqueous two-phase systems (ATPS) are a liquid–liquid extraction method that offers low-cost, continuous-adaptable virus purification. A two-step ATPS using polyethylene glycol (PEG) and sodium citrate that recovered 66% of infectious porcine parvovirus with 2.0 logs of protein removal and 1.0 logs of DNA removal in batch has now been run continuously. The continuous system output of < 10 ng/mL DNA regardless of starting DNA titer agreed with batch studies. However, the continuous system had a five-fold higher contaminating protein titer than batch studies, likely because of incomplete mixing or settling. Turbidity was tested as a measure of mixing and settling efficiency. Monitoring in-line absorbance at 880 nm directly after mixing and before collection in the settling reservoir could track both mixing and settling during operation. Settling time was reduced by changing the settling line material from PVC to PTFE, which is more hydrophobic. A flow-through AEX filter tested to make impurity removal more robust recovered 90% of PPV and removed an additional 87% of host cell DNA. The filter did not add any additional protein removal. In the future, in-line absorbance sensors could be implemented along with conductivity sensors to measure salt concentration, refractive index sensors to track the PEG-citrate interface, and scales to track mixer and reservoir volumes to enable automated, continuous ATPS. Our vision is to integrate continuous ATPS into a fully continuous end-to-end production for viral vectors.

Nanostructured Transition Metal Oxides For Electrochemical Co2 And Methane Conversion, Olumide O. Oladoyin

Chemical and Biological Engineering ETDs

Rising atmospheric CO₂ and CH₄ drive climate change, prompting research into their electrochemical conversion to valuable products. This study investigates electrodeposited nanostructured transition metal oxides (TMOs), unary (CuO, Co₃O₄) and dual (Cu-Co oxide) as catalysts for CO₂ reduction and CH₄ oxidation under ambient conditions. Fabricated on various substrates (Cu foil, SS316, carbon paper) and characterized by SEM, their electrochemical performance was evaluated via cyclic voltammetry.

Cu-Co oxide showed superior CO₂ reduction, leveraging the strengths of individual oxides. Co₃O₄ exhibited higher current densities for CH₄ oxidation, with SS316 proving the best substrate. Catalyst composition, morphology, and substrate significantly influenced efficiency. While …

Using Human Computation And Harmonic Expansions For Characterization And Design Of Grain Boundary Networks, Christopher W. Adair

Theses and Dissertations

Grain Boundary Networks (GBNs) are a high-dimensional feature in polycrystalline microstructural materials that are formed from the crystallographic degrees of freedom. This feature affects multiple material properties such as diffusivity, fracture, elasticity, heat transfer, and others. The link between the crystallography and the material properties is called the structure-property linkage, and allows for simulation and design of materials. While it is possible to use the structure-property linkage to design materials for better performance, the high-dimensional nature of the interconnected grain boundaries preclude the use of many common optimization algorithms for efficiency or local minima considerations. This work shows how the …

Single-Entity Protein Electrochemistry Of A Diffusion-Limited Enzyme, Ziwen Zhao, Nikolaos Kostopoulos, Sagar Ganguli, Paul Bergstrom, Alina Sekretareva

Michigan Tech Publications

In this work, we present single-entity protein electrochemistry (SEPE) experiments on catalase, along with a theoretical model to simulate its enzymatic activity and predict the experimentally observed current responses. We perform SEPE measurements at various enzyme concentrations and use protein film voltammetry to investigate the origin of the observed electrochemical signals in SEPE. The modeling approach we develop combines finite element simulations in COMSOL Multiphysics with random walk simulations in MATLAB. The enzyme is represented as a partially active sphere, with an arc on the surface corresponding to the enzyme’s diffusion channel leading to the active site. Notably, the model …

Robust Inner Knuckle Print Recognition System Using Densenet201 And Inceptionv3 Models, Haitham Salman Chyad, Tarek Abbes

Iraqi Journal for Computer Science and Mathematics

Texture features and stability have generated significant interest in biometric recognition. The inner knuckle print is distinctive and difficult to fake, making it extensively used in individual identification, criminal investigation, and various other domains. In recent years, the rapid progress of deep learning technology has created new prospects for internal knuckle recognition. This paper proposes a robust inner-knuckle-print recognition system (RIKP-RS) depending on two deep learning (DL) models. This paper focuses on the key components of the inner surface of the hand namely the little finger, ring finger, middle finger, index finger, and thumb finger that are used for human …

Solving Multidimensional Fractional Telegraph Equation By Using Yang Hussein Jassim Method, Naser Rhaif Swain, Hassan Kamil Jassim

Iraqi Journal for Computer Science and Mathematics

This study employs the Young Hussein Jassim (YHJ)technique to examine the exact solutions of the space-time telegraphequation analytically (ST-TE). The YHJ approach is an innovative andappealing hybrid transformation integration method, effectivelycombining the HJ and Young methods. Through a simplified iterativeprocess with minimal computational requirements, this approach quicklyprovides convergent, sequential solutions. The reliability of the methodis demonstrated by applying it to two case studies of the ST-TE withinthe framework of the Tania derivative, which includes the definition ofnon-singular kernel functions. The study also includes extensivecomparisons between approximate, exact, and relevant literature-basedsolutions to assess the technique's accuracy andeffectiveness. Graphical representations illustrate the …

A Lightweight U-Net Model For Accurate Skin Lesion Segmentation, Fallah H. Najjar, Karrar A. Kadhim, Farhan Mohamed, Mohd Shafry Mohd Rahim, Asniyani Nur Haidar Abdullah

Iraqi Journal for Computer Science and Mathematics

In this paper, a new lightweight U-Net deep learning-based neural network designed for the segmentation of skin lesions is proposed. Segmentation of skin lesions is the most critical step in computer-aided dermatology diagnosis for the early detection of melanoma and other diseases. However, we address the difficulty related to the precise definition of the lesion margins with an eye on the computation cost. We have demonstrated the state-of-the-art performance of DeepSkinSeg in most metrics on dermoscopic images using the PH2 and Human Against Machine (HAM10000) datasets. The metrics of the DeepSkinSeg model were robustness measured as the Intersection over Union …

Experimental Validation Of Bio-Inspired Control: 4 Story Shear Structure, Vamsee Vemana

24th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2025)

With the rise of rapid urbanization, skyscrapers are increasingly common, making them vulnerable to environmental pressures such as high winds and earthquakes. These forces threaten the structural stability of tall buildings, necessitating the development of active control methods to mitigate their effects and maintain structural integrity. Traditional control systems utilize numerous sensing nodes that feed data into a centralized system, which then determines the appropriate actions for the actuators. However, this centralized approach can introduce substantial lag due to the overwhelming amount of data being processed. By transitioning to a decentralized wireless system, where sensors directly feed data to control …

Evaluating The Effects Of Oxidative Stress On Primary Retinal Pigment Epithelial Cells, Sophia Hessami

Student Research Symposium

Introduction

Age-Related Macular Degeneration (AMD) is the leading cause of vision loss worldwide, affecting 200 million adults over the age of 40

• Affects subretinal layers: retinal pigment epithelium (RPE), Bruch’s membrane, and choroid (Fig. 1)

Problem: Early mechanisms of AMD are not well understood; oxidative stress is often cited as a key contributing factor to the development of AMD.3 Current studies neglect to use primary RPE cells when investigating oxidative stress.

Oxidative Stress occurs when there is an imbalance between reactive oxygen species (ROS) production and cellular antioxidant defenses

• Overabundance of ROS results in damage to tissue and …

Establishing Mixed-Biofilm Systems: To Transform Waste Into Value-Added Products, Jessica Silva Cuero

Student Research Symposium

The bioeconomy, which leverages biological agents such as microbes to convert waste (e.g., agricultural waste, wastewater, etc.) into valuable resources (Fig 1.), offers a sustainable solution to global waste challenges while generating new economic opportunities.

Reducing Biochemical Oxygen Demand In Carbon Rich Wastewater Using Rotating Algae Biofilm Reactors, J. Dietrich Storrer, Jared Maughan, Autumn Kirkham, Isaac Smart, Gavin Sherwood

Student Research Symposium

The USU Frulact Project aims to reduce the Biochemical Oxygen Demand (BOD) in wastewater from the Frulact facility in Logan, Utah. By using Rotating Algae Biofilm Reactors (RABRs) combined with activated sludge, the project seeks to break down pollutants and lower BOD levels. This innovative system also explores the potential of algae for bioproducts. Ultimately, the project works toward cleaner water, healthier ecosystems, and sustainable solutions for wastewater treatment.

Effects Of Uv Radiation On Algae Biofilms Of Rotating Algae Biofilm Reactors, Rebecca Sweeten

Student Research Symposium

Goal: Discover effects of UV-A and UV-B radiation on the biofilm production of algae using a Rotating Algae Biofilm Reactor (RABR)

Method: Expose 3 RABRs in triplicate to UV-A, UV-B, and PAR to identify differences in biomass, nutrient uptake and pH levels.

Results: RABR’s under UV-B light have the highest productivity

Flow Characterization Past ​ Large Arrays Of Oscillating 2d Airfoils, Yi-Cheng Chen

Student Research Symposium

Oscillating or rotating array structures at distinct frequencies are prevalent in natural systems and engineering applications.

• Flow Control in Engineering Systems:

Arrays of vibrating plates can be used to manipulate free-shear and boundary layer flows, reduce drag, or delay flow separation in aerodynamics and hydrodynamics.

• Wave Mitigation Structures:

Arrays of oscillating structures may dissipate energy in coastal areas, reducing the impact of waves on structures or preventing erosion

• Biological Studies:

Simulations of synchronized oscillating arrays can provide insights into fish schooling behavior and hydrodynamic benefits in nature.

• Advanced Cooling Systems:

Oscillating plates in fluid environments …

Sustainable Poultry Farming: A Concept Of Iot-Based Poultry Management System For Small-Scale Farmers, Ayodeji Akinsoji Okubanjo, Ignatius Kema Okakwu, Olufemi Peter Alao, Nurudeen Samuel. Lawal, Ayoola Abiola Babalola, Abisola Olayiwola

Al-Bahir

Conventional poultry management techniques are failing to meet increased demand for poultry products as the population continues to grow. As a result, this issue has become a major concern for small-scale farmers, particularly those in low-income areas, in terms of food security. One of the main reasons for this is that the farmers rely on intensive farming methods which are inefficient for automating daily poultry operations. However, intensive farming methods pose major environmental concerns to ecosystems and poultry health. Also, the environmental conditions, welfare, and productivity of poultry operations may be harmed by the global climate crisis and poultry waste …

Bio-Inspired Highest Lift-To-Drag-Ratio Fin Shape And Angle For Maximum Surfboard Stability: Flow Around Fish Fins, Megan S. Macneill, Brian Barkdoll

Michigan Tech Publications

Wave surfing is a multi-billion dollar industry involving both maneuverability and speed, yet little research has been performed regarding the highest lift-to-drag-ratio fin shape for these competing qualities. Numerical modeling and laboratory experiments were performed here to identify a bio-inspired fin shape that maximized lateral stability and minimized drag forces, in order to increase surfing maneuverability. Nine fins based on dorsal fins of real fish were tested. Both the CFD and laboratory experiments confirmed that the fin of the same shape as that of the Short-Finned Pilot Whale at an angle of attack of 10° had the greatest lift-to-drag ratios. …

Effects Of Wetting Events On Mass Timber Surface Microbial Communities And Voc Emissions: Implications For Building Operation And Occupant Well-Being, Gwynne Á. Mhuireach, Susan Collins, Leslie Dietz, Patrick Finn Horve, Aurélie Laguerre, Dale Northcutt, Jason Stenson, Kevin Van Den Wymelenberg, Elliott Gall, Mark Fretz

Mechanical and Materials Engineering Faculty Publications and Presentations

IntroductionHumans have used wood as a construction material throughout history. Currently, mass timber products, such as cross-laminated timber (CLT), are becoming more popular as a structural material, since they are renewable and have a lower carbon footprint than concrete or steel. Nonetheless, some building types, such as healthcare, veterinary, and food manufacturing, avoid using structural mass timber due to concerns about microbial growth in the event of wetting. One solution is to use protective coatings on mass timber products to increase moisture resistance, although the coatings themselves may generate concerns about volatile organic compound (VOC) emissions. Natural uncoated wood also …

Electric Field Profiles Under High Voltage Overhead Transmission Lines With Under-Build Distribution Circuit, Aminu Haruna

Electrical Engineering Theses

The increasing use of underbuilt lines in recent transmission projects alters electric field profile under transmission lines. By assessing electric field intensity in these transmission and distribution network configurations, the study identifies regions with high electric fields that may exceed standard exposure limits, posing potential risks. This work employs the charge simulation method and the method of imaging to analyze electric fields beneath transmission lines with underbuilt distribution networks. Key objectives include calculating the electric fields at 1 meter above ground, and evaluating the field at conductor surfaces. The study considers transmission line voltages of 69kV, 161kV, 220kV, 345kV and …

Induction Of Diabetic Cardiomyopathy In A Three-Dimensional Myocardial Model, Maelyn Andreasen

Student Research Symposium

Diabetic cardiomyopathy: Impairs and damages heart tissue through chronic exposure to hyperglycemia, or high blood sugar, in diabetic individuals

The Effects Of The Action Rate And Binding Density On Sensitivity In Lateral Flow, Mona Soroush

Student Research Symposium

Lateral Flow Assays (LFAs) offer rapid diagnostics, yet sensitivity remains a critical limitation. This study used a mathematical framework—the Convection-Diffusion-Reaction (CDR) equation—to optimize sensitivity by adjusting parameters such as flow velocity (U), association and dissociation rates (k_on and k_off), and nanoparticle valency. Our simulation results closely matched literature data (Berli & Kler, 2016), demonstrating significant enhancements in sensitivity with optimized parameters.

Preparing A Bioreactor For Avian Cell Culture, Joshua Bell, Taylor Davis, Payton Larsen, Abbie Smith, Joshua Thompson

Student Research Symposium

This project, in collaboration with Upside Foods and Thermo Fisher, focuses on optimizing a 50L bioreactor for avian cell growth. Thermo Fisher has assembled the bioreactor while Upside Foods has provided design specifications and avian specific growth media.

Bioremediation Of Toxic Water Using Algal Biofilms, Aaron Burt, Tyanna Doran, Darren Fillmore, Isaac Trejo

Student Research Symposium

Rotary Algae Biofilm Reactors (RABRs):

• Emerging technology in wastewater treatment.
• Rotating cylinder in wastewater enables algae to form a biofilm
• Yields more biomass than traditional planktonic algal growth

Development Of Bone Cutter, Jocelynn Burton, Austin Taylor, Will Pendleton, Erica Shulsen, Jessica Tobler

Student Research Symposium

Osteoarthritis affects 3.4% of the general population and is associated with age, obesity, genetics, and female sex. Different techniques exist to treat osteoarthritis, such as autographing, total joint replacement, and joint fusion.

Effects Of Inhibitor Diffusion And Threshold Limits On Edge Detection With Reaction-Diffusion Equations, Zachary Hastings

Student Research Symposium

The purpose of this project is to model edge detection using the Nomura et al's¹ reaction-diffusion equation. Edge detection is an important visual processing tool for human sight, allowing for object detection and visual enhancement. This project explored the effects of inhibitor diffusion, D_i, and threshold limits, a, on edge detection in this model. This project also discovered the limit of Nomura et al's¹ model on the simultaneous detection of multiple edges in a step-wise intensity gradient and attempted to overcome that limitation.

Utilizing Enzymatic Microalgae Hydrolysates For Cellular Agriculture, Maelyn Andreasen, Sophia Hessami, Eli Sheley, Elise Barton

Student Research Symposium

UPSIDE Foods is working to produce chicken products to address the growing global food insecurity crisis.¹ Industrial scalability is limited due to the requirements of cell culture. Through collaboration with the company, we are working to supplement their existing media to drive costs down and improve cell viability.

Mathematical Modeling Of Color Perception Using Differential Equation, Siavash Pooretemad

Student Research Symposium

Color perception begins in the retina, where three cone types (L, M, S) detect light and initiate neural signals. These signals are processed by horizontal and bipolar cells to form opponent color channels: red-green (RG), yellow-blue (YB), and light-dark (LD). Perception is not solely based on physical input but also shaped by neural adaptation and context.

This project models color perception using a differential equation approach, simulating how color contrast and adaptation emerge from interactions between photoreceptors and lateral inhibition.

We hypothesize that a system of differential equations can model how retinal cone cells respond to and process light intensity, …