Engineering Commons^™

Removing Eog Artifacts From Eeg Recordings Using Deep Learning, Christian O'Reilly, Scott Huberty

Faculty Publications

The electroencephalogram (EEG) directly measures the electrical activity generated by the brain. Unfortunately, it is often contaminated by various artifacts, notably those caused by eye movements and blinks (EOG artifacts). Such artifacts are usually removed using an independent component analysis (ICA) or other blind source separation techniques. However, it is difficult to assess whether subtracting EOG components estimated through ICA removes some neurogenic activity. It is crucial to address this question to avoid biasing EEG analyses. Toward that objective, we developed a deep learning model for EOG artifact removal that exploits information about eye movements available through eye-tracking (ET). Using …

A Reliable And Efficient Detection Pipeline For Rodent Ultrasonic Vocalizations, Sabah Shahnoor Anis, Devin Mark Kellis, Kris Ford Kaigler, Marlene A. Wilson, Christian O'Reilly

Faculty Publications

Analyzing ultrasonic vocalizations (USVs) is crucial for understanding rodents' affective states and social behaviors, but the manual analysis is time-consuming and prone to errors. Automated USV detection systems have been developed to address these challenges. Yet, these systems often rely on machine learning and fail to generalize effectively to new datasets. To tackle these shortcomings, we introduce ContourUSV, an efficient automated system for detecting USVs from audio recordings. Our pipeline includes spectrogram generation, cleaning, pre-processing, contour detection, post-processing, and evaluation against manual annotations. To ensure robustness and reliability, we compared ContourUSV with three state-of-the-art systems using an existing open-access USV …

Synergistic Impact Of Entrained Air And Fly Ash On Chloride Ingress In Concrete Pavement: An Electrical Resistivity Model Approach, Youngguk Seo, Jin Hwan Kim

Faculty Articles

Ensuring the durability of concrete pavements against chloride ingress is critical, yet the relationship between electrical resistivity and chloride penetration remains underexplored. This study evaluates the effectiveness of entrained air and fly ash in mitigating chloride ingress using an electrical resistivity model and surface resistivity tests. Concrete samples with varying entrained air contents (0% to 10%) and Class C or Class F fly ash underwent three-year ponding tests in temperature-controlled indoor water baths and outdoor CaCl2-NaCl brine solutions. The results indicate that lower entrained air contents led to a more rapid increase in resistivity, with concrete mixes incorporating Class C …

Open Accessarticle Crystal Plasticity Modeling Of Dislocation Density Evolution In Cellular Dislocation Structures, Md Mahabubur Rohoman, Caizhi Zhou

Faculty Publications

The complex thermal cycles during the solidification process in metal additive manufacturing (AM) lead to the formation of high-density dislocation networks, organizing into submicron-scale cellular structures. These ultrafine structures are recognized as crucial for enhancing the mechanical properties of AM metals. In this study, we investigate the evolution of dislocation density within these cellular structures under plastic deformation and its impact on mechanical response using dislocation density-based crystal plasticity finite element (CPFE) modeling. The model incorporates the evolution of both statistically stored dislocation (SSD) and geometrically necessary dislocation (GND). Our simulations reveal that the yield and flow stresses of dislocation …

Editorial: Intelligent Robots For Agriculture -- Ag-Robot Development, Navigation, And Information Perception, Sierra N. Young

Civil and Environmental Engineering Faculty Publications

Agriculture is undergoing a paradigm shift driven by global challenges such as climate change, labor shortages, and the increasing demand for sustainable food production. In response, intelligent robotics are emerging as a transformative technology, enhancing agricultural efficiency, precision, and sustainability. This Research Topic, “Intelligent Robotics in Agriculture -- Ag-Robot Development, Navigation, and Information Perception,” highlights advancements in agricultural robotics, including breakthroughs in system design, autonomous navigation, multi-sensor fusion, and machine learning applications. The collected works contribute significantly to the evolving landscape of smart farming by addressing critical challenges in agricultural automation.

A Model Predictive Control To Improve Grid Resilience, Joseph Young, David G. Wilson, Wayne Weaver, Rush Robinett

Michigan Tech Publications

The following article details a model predictive control (MPC) to improve grid resilience when faced with variable generation resources. This topic is of significant interest to utility power systems where distributed intermittent energy sources will increase significantly and be relied on for electric grid ancillary services. Previous work on MPCs has focused on narrowly targeted control applications such as improving electric vehicle (EV) charging infrastructure or reducing the cost of integrating Energy Storage Systems (ESSs) into the grid. In contrast, this article develops a comprehensive treatment of the construction of an MPC tailored to electric grids and then applies it …

An Effective Genetic Algorithm For Mixed Precision, Wanyu Zhang, Yu Shang, Min Tsao, Yiwei Li, Xiaoyu Song

Electrical and Computer Engineering Faculty Publications and Presentations

The precision of floating-point numbers is a critical task in high-performance computing. Many scientific applications rely on floating-point arithmetic, but excessive precision can lead to unnecessary computational overhead. Reducing precision may introduce unacceptable errors. Addressing this trade-off is essential for optimizing performance while ensuring numerical accuracy. In this paper, we present a genetic algorithm-based approach for tuning the precision of floating-point computations. Our method leverages algorithmic differentiation and first-order Taylor series approximation to assess the impact of precision variations efficiently. We employ stochastic partitioning algorithms with multiple precision combinations that meet the error requirements. Moreover, we present a genetic heuristic …

2024, A Landmark Year For Climate Change And Global Carbon Capture, Utilization, And Storage: Annual Progress Review, Shangli Shi, Yun Hang Hu

Michigan Tech Publications

This annual review outlines the progress of carbon capture, utilization, and storage (CCUS) technologies in 2024. As human-induced CO2 emissions continued to rise, the year presented critical challenges. Notably, 2024 was the hottest year on record and the first in which global temperatures exceeded preindustrial levels by more than 1.5°C, driving intensified efforts to advance CCUS. Scientific interest in CCUS grew significantly, with the annual number of related publications increasing by 11.4% compared to 2023, reaching 53,970. The total number of operational commercial CCUS facilities also expanded, rising by 16.3% to a total of 50. In the political area, governments …

Wind-Resilient Solar: Harnessing Cfd For Enhanced Load Estimation, Aly Mousaad Aly

Faculty Publications

Solar panels are a cornerstone of renewable energy infrastructure, playing a pivotal role in global sustainability efforts. To ensure their resilience and long-term viability, accurate wind load estimations are essential for designing supporting structures, which account for nearly 50% of their total cost. However, traditional building codes lack comprehensive guidance for solar panels, resulting in inconsistent estimations due to discrepancies in scaled wall-bounded wind tunnel testing methodologies. These inaccuracies pose safety risks, increase costs, and hinder adoption. Emerging technologies like computational fluid dynamics (CFD) simulations offer a promising alternative by enabling full-scale analysis under realistic conditions of complete turbulence. This …

Advancing Solar Farm Resilience: Cfd-Driven Wind Load Optimization, Aly Mousaad Aly

Faculty Publications

This study investigates wind load design methods for ground-mounted solar panels and arrays by comparing Computational Fluid Dynamics (CFD) simulations with design standards. A case study of a solar farm impacted by Hurricane Maria examines the effects of elevation height, tilt angle, and variations in the American Society of Civil Engineers (ASCE) standards on wind loads and structural failure. Turbulence models, including Reynolds Stress Model, k–ε Model, and Large Eddy Simulation (LES), are used to analyze wind pressures, lift, drag, and peak pressures. Results show Phase 1 experienced higher wind loads than Phase 2 due to design differences. A cost-benefit …

Sdl Optomechanical Engineering Discussion, Tyrel Rupp

Space Dynamics Laboratory Publications

• About SDL
• SDL Manufacturing Capabilities
• Optomechanical Example-AWE
• Optomechanical Example – AWE Telescope Design
• Optomechanical Example – AWE Telescope Fabrication
• Optomechanical Example – AWE Optomechanical Assembly
• AWE Infrared Radiance of OH Layer Above Hurricane Helene
• Current Challenges in Optomechanics for SDL
• Precision Manufacturing IR&D (ongoing)
• Low CTE Moldable Composite IR&D: Athermal Design Background
• Low CTE Moldable Composite IR&D: Overview
• Low CTE Moldable Composite IR&D: Lens Tube Fabrication
• Low CTE Moldable Composite IR&D: Lens Tube Fabrication

Workforce Forecasting For State Transportation Agencies: A Machine Learning Approach, Adedolapo Ogungbire, Suman Mitra

Civil Engineering Faculty Publications and Presentations

A decline in the number of construction engineers and inspectors at state transportation agencies (STAs) to manage the ever-increasing lane miles has emphasized the importance of workforce planning in these agencies. Forecasting workforce requirements is crucial for effective planning in any industry or agency. This study developed machine learning (ML) models to estimate the person-hour requirements of STAs at the project level. The Arkansas Department of Transportation (ARDOT) was used as a case study, using its employee and project details data between 2012 and 2021. ML regression models ranging from linear, tree ensembles, kernel-based, and neural network-based models were …

Determining The Wound Closure Capabilities Of A Biological Engineered Blood Vessel For Hd Access, Brianna Regan, Alex Dumitru, Mai Lam

Medical Student Research Symposium

End stage renal disease (ESRD) is a prominent chronic condition with dialysis as a primary treatment option. Dialysis necessitates implementation of an access point, with the gold standard being an AV fistula which possesses multiple shortcomings. Alternative access points, namely synthetic grafts, do not allow wound healing characteristics. This work aims to explore how a tissue engineered vascular graft (TEVG) may be able to address these issues by allowing a long-term access point for HD that can close puncture wounds.

The effects of growth factors on our cells were tested preliminarily by means of a scratch assay on plates of …

A Non-Linear Optimization Model For Controlling The Real Area Of Contact In Surface Texture Design, Sandra Eksioglu, Min Zou

Industrial Engineering Faculty Publications and Presentations

Motivated by the potential of surface texturing to enhance the tribological performance of micro- and nano-electromechanical systems (MEMS/NEMS), this study proposes a novel non-linear optimization approach for designing textured surfaces. This model minimizes the contact area between interacting surfaces and deformation during sliding under dry conditions by controlling key design parameters, such as the size and shape of the designed surface. We test the performance of the proposed model using the lotus leaf surface with dimensions of 248 x 136 micrometers. Due to the large size of the model, we propose a solution approach which consists of a data aggregation …

Integrating Standards For Infrastructure Improvement And Resilience In University Curricula, Lisa Greenwood, Jennifer Schneider, Sumita Mishra, Yewande S. Abraham, Shriram Karpoora Sundara Pandian

Articles

In today’s ever-changing world, we are increasingly vulnerable to shocks and stresses that disrupt industry and society. Persistent threats from natural and manmade hazards require our communities and infrastructure to be resilient despite possible disruption. Creating robust infrastructures is founded on operational and physical standards to withstand and respond to threats such as environmental exposures, climate change, and informational security breaches. The significant U.S. investment in infrastructure projects through the Infrastructure Investment and Jobs Act has amplified the need for professionals in engineering and related fields who – in addition to technical knowledge - possess the necessary knowledge and skill …

Small Laser-Textured Dimples For Improved Tribological Performance Of Cocrmo In Artificial Hip Joints, William B. Bennett, Min Zou

Mechanical Engineering Faculty Publications and Presentations

This study investigates the impact of small dimples on the tribological properties of CoCrMo (CCM) surfaces. Laser-ablated textures with 5 mu m diameter dimples were fabricated at varying aspect ratios (0.1, 0.2, 0.3) and surface densities (5%, 15%, 25%) to evaluate their effects on friction and wear when paired with ultra-high molecular weight polyethylene (UHMWPE) counterfaces. The results showed that small dimples significantly reduced and stabilized the coefficient of friction (CoF) and wear compared to untextured CCM and larger dimples as reported in the literature. The texture configuration with a 5% surface density and 0.1 aspect ratio achieved the best …

Dataset: Compositional Analysis And Hydrothermal Liquefaction Of A High-Ash Microalgae Biofilm, Jacob Watkins, Hamza Abdellaoui, Elise Barton, Clayton Lords, Ronald C. Sims

Biological Engineering Student Research

This dataset contains biochemical composition data and hydrothermal liquefaction (HTL) yield results for a high-ash microalgae biofilm which was cultivated in effluent from a mesophilic anaerobic digester using polyethylene rotating algae biofilm reactors (RABRs). These data were originally collected for use in a techno-economic analysis of biocrude, biodiesel, and bioplastic production from algae that was cultivated using RABRs for municipal wastewater reclamation.

Biochemical data for the microalgae biomass includes bulk protein, measured both using the Bradford protein assay and by multiplying total N; carbohydrate content, measured using a 3-methyl-2-benzothiazolinone hydrazone / dithiothreitol (MBTH/DTT) assay; total lipid content, measured using a …

Underlying Mechanisms Of The Effect Of Microfines Of Manufactured Sand On Non-Linear Structural Build-Up Of Cement Paste, Jiang Zhu, Jiaping Liu, Kamal H. Khayat, Xin Cheng, Wei Zhao, Zhen Li, Xin Shu, Yongbo Huang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The rheological properties of cement-based materials made with manufactured sand vary with the content and physio-chemical properties of microfines in the sand. However, the evaluation of rheological properties regarding the structural build-up at early-age hydration remains challenging for the cementitious materials prepared with different manufactured sands, due to complicated underlying structuration mechanisms. This paper studies the effect of disparate microfines of different manufactured sands on the non-linear growth of static yield stress of cement pastes at rest. The paste mixtures were prepared with 0.40 and 0.275 water-to-cement mass ratio (W/C) and had a fixed mini-slump flow of 240 ± 5 …

Turning Farm Waste Into Energy: Pragmatic Approaches For Cleaner Midwestern American Communities, Rebecca Gaisie

Selected or Submitted Student Research Papers/Projects

Mismanagement of farm waste in the Midwest of the United States has resulted in significant methane emissions, water contamination, and public health concerns. The present manure management rules are still inconsistent, underfunded, and insufficient to motivate individuals to behave in a way that benefits the environment, despite increasing concerns about the environment. This policy study investigates anaerobic digestion as a potential means to convert waste into energy that could support rural and environmental development. Some of the problems with the federal and state legislation examined in this study under an EPI framework are a lack of incentives, inadequate technical support, …

Co2 Utilization For Cementitious Materials - A Review, Seongho Han, Jae Hong Kim, Rohitashva Kumar Singh, Surendra P. Shah

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This review examines methods for utilizing CO₂ in construction materials to reduce the carbon footprint of cement and concrete production. Key approaches include direct carbonation of calcium silicates through CO₂ curing, use of industrial by-products as supplementary cementitious materials activated by carbonation, production of alternative binders and aggregates via CO₂ treatment of waste materials, injection of CO₂ into fresh concrete mixtures, and use of CO₂-dissolved mixing water. Both academic research and emerging commercial technologies are covered. While these methods show promise for enhancing material properties and sequestering CO₂, challenges remain in optimizing …

Introducing Apprentices To Brightspace, Peter O'Farrell

Case studies: Brightspace

Apprentice Tradespeople come to Bolton Street to study the theoretical aspect of their trades in blocks of 10 or 11 weeks. The 11-week block of learning includes 10 weeks of learning and 1 week of exams. The students have consistently given feedback that they find the 10 weeks quite busy with substantial amounts of new material to take in during the classes. These are NFC Level 6 students. The MAMF (Mechanical Automation Maintenance Fitter) apprentices taught in the School of Mechanical Engineering undertake a broad range of subject matter over a 35-hour college week, including technical drawing. There are sixteen …

Limbgod(Pat. Pending): Wearable Garment For Amputation Prevention, Naomi Choi Dpm, Mba, Phuc An Dinh Bs, Ms, Eric Lee Bs, Francois M. Lokenye Dpm

Posters

Approximately 1.6 million people in the U.S. have lower limb amputations, which is expected to double by 2050 (Wong et al.). Socio-economic factors: income, education, rural residency & race, impact amputation risk (Okesina et al.), with Black Americans 70% are more likely to undergo major lower limb amputations than white Americans, even after adjusting for care access & comorbidities (Feinglass et al., Holman et al., Regenbogen et al.). Within 5 years, up to 50% of first-time amputees require another amputation (Dilingham et al., Glaser et al.) & those with comorbidities face a 77% five-year mortality rate (Fortington et al.).

Changes In The Western Flank Of The North Atlantic Subtropical High Since 1140 Ce: Extremes, Drivers, And Hydroclimatic Patterns, Joshua C. Bregy, Justin T. Maxwell, Scott M. Robeson, Grant L. Harley, Valerie Trouet

Publications

Summer circulation and moisture patterns in the Southeast United States are controlled by the position of the North Atlantic subtropical high. In a warming climate, the subtropical high is projected to strengthen and expand west, but there remains uncertainty regarding its variability and linkages to natural drivers. Here, we use a tree-ring network across the Southeast United States to reconstruct the relative intensity of the pressure gradient across the subtropical high’s western flank over the past 870 years. Variations in the flank’s position and the pressure gradient have been a major driver of the hydroclimate—including creating a Southeast-Caribbean moisture dipole—since …

L.G. Twidwell Fifty-Six Years Of Research A Summary, Larry G. Twidwell

Metallurgical & Materials Engineering

Larry G. Twidwell, D.Sc. is Emeritus Professor in the Department of Metallurgical and Materials Engineering at Montana Technological University. He has fifty-six years of experience in teaching and directing research in Metallurgical and Materials Engineering at Montana Tech. Twidwell and his graduate students and coworkers have conducted research emphasizing extractive metallurgy and the application of extractive metallurgical engineering to the treatment of metallurgical wastes, process waters and byproducts. Four books, seventy-seven M.Sc. theses, one-hundred-thirty refereed publications and one hundred-eight national and international presentations have resulted from their research efforts. Twidwell has received several outstanding teacher/researcher awards during his tenure at …

2025 (Spring) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department

ENSI Informer Magazine Archive

The ENSI Informer Magazine published in the spring of 2025.

Approximations And Bounds For Optimal Controls Via Finite Fourier Series, Gabriel Nicolosi, Terry Friesz, Christopher Griffin

Engineering Management and Systems Engineering Faculty Research & Creative Works

This work considers the problem of approximating initial condition and time-dependent optimal control and trajectory surfaces using multivariable finite Fourier series. A modified Augmented Lagrangian algorithm for translating the optimal control problem into an unconstrained optimization one is proposed. A quadratic control problem in the context of Newtonian mechanics is solved to demonstrate the proposed algorithm and various computational results are presented. Use of automatic differentiation is explored to circumvent the elaborated gradient computation in the first-order optimization procedure. Furthermore, mean square error bounds are derived for the case of one and two-dimensional Fourier series approximations, suggesting a general bound …

Computational Modeling Of Astrophysical Systems, Leleya Iris Stallard

Spring Showcase for Research and Creative Inquiry

This research project focuses on the computational modeling of astrophysical systems using Femap with NX Nastran. The goal was to simulate and analyze the vibrational behavior and structural deformation of celestial bodies under different material compositions and collision conditions. Materials such as iron, granite, titanium, and models for white dwarf stars were used to investigate how varying physical properties affect the systems' dynamic responses. Both isotropic and anisotropic models were created to represent realistic astrophysical materials. Through static and modal analyses, the study explored how internal structure and material stiffness influence the reaction of celestial objects to applied forces and …

Gis Cpd Geospatial Skills, Niamh O'Reilly

Case studies: Digital Education

The GIS CPD programme is delivered to people from industry wishing to develop their Geospatial skills in GIS. For many this is an important skill. Many organisations and companies encourage and pay for their staff to attend the programme and get the CPD Students gain important skills for managing, analysing and presenting geospatial data in a GIS environment. certificate. Students come from many different industries including local authorities, semi state bodies, National mapping agency, transport consultant practices, cable companies, environmental companies. The programme has been running for almost 30 years by my former colleague Eamonn Donnelly. Up until the pandemic …

Zooplankton Protect Viruses From Sunlight Disinfection, J. A. Wang, O. Aryal, L. N. Brownstein, H. Shwwa, A. L. Rickard, A. E. Stephens, M. Lanzarini-Lopes, Niveen S. Ismail

Engineering: Faculty Publications

Sunlight disinfection is an important inactivation process for enteric viruses in water. Understanding how dark biotic processes, such as zooplankton filter feeding, impact sunlight disinfection for viruses has important implications for public health. This research quantifies the uptake of MS2, a model for enteric viruses, by the filter feeder Branchionus plicatilis (rotifer) and the effects of such uptake on subsequent sunlight inactivation of MS2. Experiments co-incubating MS2 with rotifers showed 2.6 log viral removal over 120 hours. Viable virus was recovered from rotifer bodies after co-incubation, indicating incomplete viral inactivation via ingestion. When live rotifers were co-incubated with MS2 and …

Microphysics Regimes Due To Haze–Cloud Interactions: Cloud Oscillation And Cloud Collapse, Fan Yang, Hamed F. Sadi, Raymond Shaw, Fabian Hoffmann, Pei Hou, Aaron Wang, Mikhail Ovchinnikov

Michigan Tech Publications

It is known that aqueous haze particles can be activated into cloud droplets in a supersaturated environment. However, haze–cloud interactions have not been fully explored, partly because haze particles are not represented in most cloud-resolving models. Here, we conduct a series of large-eddy simulations (LESs) of a cloud in a convection chamber using a haze-capable Eulerian-based bin microphysics scheme to explore haze–cloud interactions over a wide range of aerosol injection rates. Results show that the cloud is in a slow microphysics regime at low aerosol injection rates, where the cloud responds slowly to an environmental change and droplet deactivation is …