Engineering Commons^™

College Of Business Relocation Project, Genevieve Spitaletto, Nicky Vreeland, Matthew Loudon, Chris Fox

Mechanical and Civil Engineering Student Publications

Construct a modern, six-story College of Business building at Florida Tech that provides functional, accessible, and collaborative learning spaces while meeting all code requirements and supporting long-term campus growth.

Spacepnp, Khurram Valiyev, Sam Warner, Jabari Sterling, Samuel Kaguima

Chemistry and Chemical Engineering Student Publications

Our mission is to eliminate design-to-procurement using a unified ecosystem that users can discover, validate, and preview components with confidence.

Microgravity Simulator, Aruna Dookeran, Alexander Montano, Elias Orellana, Aiden Smart

Ocean Engineering and Marine Sciences Student Publications

Microgravity significantly affects biological growth, but space-based experiments are costly and difficult to access. Ground-based systems provide an alternative; however, many require continuous manual supervision to maintain operating conditions.

Plant Growth Promoting Phenotypes Of Fungal Isolates From The International Space Station, Shane Doyle, Frances A. Edmonson

Ocean Engineering and Marine Sciences Student Publications

• In situ (on site) space crop production is vital for sustainability and dietary health of astronauts. 
• We hypothesize that International Space Station (ISS) derived fungal isolates will stimulate plant growth and express PGP phenotypes.
• Eleven space-viable fungi were screened via phenotypic testing to identify plant growthpromoting (PGP) activity.
• Prior research has been conducted solely with ISS derived bacteria, while ISS fungi are unexplored, which could reveal new or improved symbiotic relationships and growth factors.

C-Side: Concussion Sideline Injury Detection And Evaluation, Emily Acampora, Emma Angelo, Kyle Burden

Biomedical Engineering and Sciences Student Publications

Concussion are a form of mild traumatic brain injury (mTBI), affecting an estimated 3.8 million Americans anually. Athletes are particularly susceptible to incurring concussions. Current diagnostic methods are timeconsuming and rely primarily on subjective measures.

Biostress: An Engineered Platform For Detecting Cellular Damage Upon Mechanical Impact, Lindsay Avila, Nina Fiordaliso, Mai Tran

Biomedical Engineering and Sciences Student Publications

Mechanical impact stimuli are commonly associated with cellular damage and lower cell survival rates. However, mild impacts can promote responses that are adaptive. The heat shock protein 70 (HSP70) is a stressinducible protein that serves as an early biomarker for cellular stress. The relationship between impact severity and cellular response remains unclear.

Cardio Clarity -Wearable Cardiac Monitoring, Kaitlyn Dunn, Matthew Kotze, Emily Matheson, Caroline Moore

Biomedical Engineering and Sciences Student Publications

Purpose: Develop a low-cost wearable system for an accessible cardiac monitoring platform

Clear Aligner Overcorrection To Reduce Incisor Tipping | In Vitro, Benjamin Losch, Eddie Wawrzycki-Stein, Kylie Stong, Niko Burger

Biomedical Engineering and Sciences Student Publications

Quantify the biomechanical effects of overcorrection angles on tipping angle and periodontal moment during incisior retractions using both in vitro experiments and finite element analysis (FEA).

Biopulse: Split Hopkinson (Kolsky) Bar, Andrew Carr, Sebastian Deniz, Rachel Hizon, Stefan Paton

Biomedical Engineering and Sciences Student Publications

A Split Hopkinson (Kolsky) Bar is a device used to find a material’s mechanical response under high strain rate loading scenarios (10² – 10⁴ s⁻¹) [1]. It is commonly used to simulate vehicle crashes or ballistic impacts. The novelty of the device is its size and cost of its components compared to other SPHBs on the market. The motivation is to further the capabilities on campus by providing the first dynamic material testing device.

Vitasense: Noninvasive Physiological Signal Measurement From Video Data, Ava Dorow, Justin Mcparland, Ashley Schindler

Biomedical Engineering and Sciences Student Publications

• Heart rate monitoring enables proactive patient care
• Imaging Photoplethysmography (iPPG) enables noncontact measurement 
• Improves access to remote and virtual care

Saber – Stability Analysis Through Bipropellant Engine Research, S. Conley, R. Gaulin, E. Lucas, A. Ramirez, N. Reese, W. Reinkoester, J. Sadler, W. Tinelli, B. Varozza

Aerospace, Physics, and Space Science Student Publications

Stability Analysis through Bipropellant Engine Research (SABER) is a small-scale, compressed air and propane bipropellant rocket engine designed as the test subject of a combustion instability analysis. Through various static fires at varying combustion chamber lengths, the project demonstrates that less combustion instabilities are experienced at smaller characteristic lengths.

Automatic Determination Of Mechanical Properties From Molecular Dynamic Stress-Strain Curves Using Regression Fringe Response, Josh Kemppainen, Tristan Muzzy, Travis Wavrunek, Gregory Odegard

Michigan Tech Publications

Molecular dynamics (MD) simulations have become a powerful tool for studying polymers, designing new materials, and composites. Mechanical behavior in MD simulations are typically evaluated through stress-strain curves. However, MD-generated stress-strain curves are often obscured by thermal noise from atomic vibrations. This noise complicates the reliable derivation of mechanical properties and hinders objective and reproducible analysis. The noise in the stress-strain curves has been removed by using a Butterworth low-pass filter, enabling clearer interpretation of stress-strain data. Building on this, a novel analysis framework the Regression Fringe Response (RFR) is introduced to systematically determine the Young's modulus, yield strength, and …

Cardiosync: Real-Time Pid Control Of Lvad Hemodynamics, Brendan Bouchard, Morgan Brenner, Panagiotis Vasileiadis, Michaela Wittman

Biomedical Engineering and Sciences Student Publications

Goals:

Develop a real-time, closed-loop control system for autonomous LVAD RPM adjustment. Minimize clinician reliance, reducing hospital visits and healthcare costs. Improve patient independence and quality of life. Maintain stable hemodynamic performance and reduce complications. Reduce patient mortality

Ocusensus: Real-Time Force Detection Strabismus Hook, Asa Barnhart, Niko Burger, Patricia Carrelo-Creque, Kristie Fonseca

Biomedical Engineering and Sciences Student Publications

Strabismus affects approximately 2–5% of the general population [1]. Primary treatment is (strabismus) surgery but current methods result in approximately 36% of patients undergoing reoperation within 5 years [2]. One factor proposed to contribute towards reoperation is insufficient force applied to extraocular muscles during surgery. Excessive force triggers the oculocardiac reflex (OCR) which lowers heart rate by >20%[3]

Program And Proceedings, The Nebraska Academy Of Sciences 1880–2026: 146th Anniversary Year, One Hundred-Thirty-Sixth Annual Meeting

Nebraska Academy of Sciences: Programs and Proceedings

Program and abstracts of the proceedings for the Nebraska Academy of Sciences 136th annual meeting, 2025

Sessions

Aeronautics and Space Science

Anthropology

Biological and Medical Sciences

Earth Sciences

Ecology, Sustainability, and Environmental Science

Physics and Engineering

General Poster Session

2026 Maiben Lecture: Shifting Extremes: Understanding Nebraska’s Changing Climate and Preparing for What Lies Ahead, Deborah Bathke

2026 Friends of Science Awards: Julie Shaffer and Irina Filina

2026 C. Bertrand and Marian Othmer Schultz Colleaguate Schoalrship Award: Piper Ryschon and Bryce Reeson

In Memoriam: Paul Royster

Applications Of Suas Thermal Imaging And Lidar At Letort Spring Garden Preserve: An Independent Study, Kelsey Wardell

Harrisburg University Other Works

No abstract provided.

Mechanism Of Improved Miscibility Of Co2–Oil Systems By Multiester-Headgroup Surfactants, Ning Xu, Yanling Wang, Baojun Bai, Yu Zhang, Wenjing Shi, Zhaonian Zhang, Wenhui Ding, Peixu Ma, Zan Gao

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

In the pursuit of carbon neutrality, the CO₂-enhanced oil recovery provides dual benefits by enabling both carbon sequestration and incremental oil production. However, its application is limited by high minimum miscibility pressure. CO₂-philic and oil-affinitive surfactants have emerged as an effective, low-dosage, and cost-efficient strategy to reduce the minimum miscibility pressure. In this study, macroscopic phase behavior experiments combined with molecular dynamics simulations were employed to systematically elucidate the influence of multiester-head surfactants on CO₂–oil miscibility. Using a modified pressure–volume–temperature apparatus equipped with optical power monitoring, we determined that multiester-head surfactants reduced the first-contact …

Advances In The Design Of Bio-Organic Resistive Switching Memory, Muhammad Awais, Yi Sheng Wong, Feng Zhao, Kuan Yew Cheong

Electrical and Computer Engineering Faculty Research & Creative Works

Bio-organic materials have garnered significant attention as sustainable candidates for non-volatile resistive switching memory (RSM) because of their specialized chemical, structural, and environmental advantages. This review presents a design-centered perspective on bio-organic RSM by outlining the key device components required for effective device engineering, including electrode materials, memristive thin films, intermediate layers, substrates, and electrical measurement strategies. Each component is discussed in detail with respect to the material properties and operational parameters that influence overall device performance, such as functional groups, interfacial interactions, and processing conditions. The review further analyses the critical roles of electrode pairing, interfacial chemistry, additive incorporation, …

Aria – Ai Robot Intelligence Assistant, Balakrishna Reddy Channa Reddy

Pacific Innovation and Entrepreneurship Summit (PIES)

ARIA (AI Robot Intelligence Assistant) is an autonomous AI-powered robot designed to improve human-robot interaction and autonomous navigation. The system integrates advanced capabilities including face recognition, voice commands, AI responses, obstacle avoidance, phone tracking via Bluetooth Low Energy (BLE), and autonomous navigation.

The architecture consists of multiple layers: sensors (camera, microphone, and ultrasonic), a Raspberry Pi serving as the AI brain, an Arduino for motor control, motors and wheels for movement, and phone connectivity via Bluetooth (BLE). This layered design enables real-time perception, decision-making, and physical interaction with the environment.

Future development directions include real-time learning, edge AI optimization, and …

Qualitative Dataset On Student Interpretation Of Automated Code Feedback And Programming Self-Efficacy, Mary Benjamin

Michigan Tech Research Data

This dataset supports a qualitative study examining how first-year engineering students interpret automated code feedback and how these interpretations relate to the development of programming self-efficacy.

The study focuses on student interactions with an automated code critiquer (WebTA) in a MATLAB-based introductory programming course. It explores how feedback influences students’ emotional responses, debugging behaviors, and confidence development.

Conceptual framing: Automated Feedback → Interpretation → Self-Efficacy Development

Fully Coupled, High-Resolution Atmosphere–Ocean–Wave Simulations Of The Offshore Wind Energy Environment During Hurricane Henri (2021), Chunyong Jung, Pengfei Xue, Chenfu Huang, William Pringle, Mrinal Biswas, Geeta Nain, Jiali Wang

Michigan Tech Publications

A new fully coupled modeling system, integrating atmosphere, ocean, and wave models, is presented to simulate intricate interactions during tropical cyclones and explore their potential implications for offshore infrastructure. The system is evaluated on Hurricane Henri (2021), chosen for its distinctive track along the US northeast coast, an area of densely populated regions and offshore wind energy zones. Three simulation setups are compared: atmosphere only, atmosphere–ocean, and a fully coupled atmosphere–ocean–wave model. Among them, the fully coupled model produces the most realistic results, improving not only the storm intensity near the surface but also the wind structure from the near …

Comparison Of Pfas-Free Hydrophobic Layer-By-Layer Coatings For Cellulosic Textiles: Evaluation Of Water Repellency, Mechanical Durability, And The Effects Of Fabric Construction, Elvira Isenzhulova, Radika Bhaskar

School of Design and Engineering Papers

Environmentally safe water-repellent coatings are urgently needed for the textile industry as an alternative to PFAS-based finishes. Challenges include development of coatings that are effective in imparting both water repellency and mechanical durability, with relatively simple synthesis to promote industry use. This study compared the performance and abrasion resistance of two different bio-based, layer-by-layer (LbL) self-assembled hydrophobic coatings for cellulosic fibers. Textile samples were coated with bilayers composed of negatively charged plant-derived carnauba wax and a positively charged component: either poly-L-lysine or lower-cost zinc oxide nanoparticles. To investigate the influence of surface microroughness on coating adhesion and performance, two different …

Energetic Characterization Of 3-D Printed Acrylonitrile Butadiene Styrene Fuels For Hybrid Rocket Propulsion Applications, Stephen A. Whitmore, Ryan J. Thibaudeau, Ava T. Wilkey

Mechanical and Aerospace Engineering Faculty Publications

Hybrid rocket technologies are gaining recognition as eco-friendly alternatives to traditional propulsion systems. Utah State University’s Propulsion Research Laboratory has developed a High-Performance Green Hybrid Propulsion (HPGHP) technology, leveraging 3D-printed ABS fuel for reliable, low-energy ignition. Among tested materials, only ABS shows suitable electrical-breakdown properties for arc ignition. Unfortunately, due to the proprietary formulations in commercial ABS blends, and its limited use as a rocket-propellant, related composition and combustion data are limited. This study uses spectroscopic evaluation and bomb calorimetry to estimate material compositions, enthalpies of formation, and combustion energies for multiple commercially available 3-D print feed stock ABS types, …

Transitional And Turbulent Dynamics In Viscoelastic Wall-Bounded Flows, Alexia Martinez Ibarra

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The addition of small amounts of long-chain polymers to a turbulent flow has been reported to modify the flow phenomena when compared to Newtonian flows, resulting in a significant skin-friction reduction. Although polymer-induced drag reduction has been extensively studied through both experimental and numerical studies, a unified and predictive understanding of the phenomenon is still lacking. This dissertation focuses on better understanding of this phenomenon, particularly on the transitional regime, which remains largely unexplored but is of utmost importance for both practical and fundamental purposes.

Firstly, direct numerical simulations are performed to study the effect of polymers on the laminar-turbulent …

Erk Builds A Population Of Short-Lived Nascent Adhesions That Produce Persistent Edge Protrusion And Cell Migration, Andrew P. Shepherd, Keith R. Carney, Majid Rostami, Jakaria Shawon, Andrew Elliott, Shiela C. Samson, Sangyoon J. Han, Michelle C. Mendoza

Michigan Tech Publications

Cell migration is realized through the fast and persistent protrusion of a leading edge in the direction of movement. The actin and adhesion structures that build edge protrusions are integrated such that pro-migration signaling pathways must control both assemblies to induce protrusion. Understanding the contribution of adhesion regulation has been complicated by the inability to selectively assay the nascent adhesions that promote edge protrusion. Here, we dissect how the core RAS → RAF → MEK → ERK pathway’s control of nascent adhesions contributes to edge protrusion and cell migration by targeting an ERK FRET biosensor to adhesions and quantifying ERK’s …

​ Planning, Control, And State Estimation For Chain-Style Modular Robots​, Sebastian Theiler, Yucheng Nie, Joshua P. Kevil

Electrical and Systems Engineering Capstone Design Projects

Traditional robots have fixed shapes, limiting their ability to adapt to complex or dynamic environments. Modular robotic systems are composed of identical robot modules that can connect and disconnect to form different structures. This allows the robots to form bridges to cross voids and split apart to fit into tight corridors. However, while previous modular robotics research heavily emphasizes reconfiguration planning, comprehensive motion planning remains underexplored. We introduce a novel, end-to-end framework for the planning, state estimation, and control of chain-style modular robot swarms. Our system includes a custom network flow planner that maps polygonal environments into a Reeb graph …

Integration Of Bayesian Networks And Neural Networks For High-Dimensional Data Analysis, Cooper Schmer

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

High-dimensional biomedical datasets, such as omics data, present significant challenges for predictive modeling due to noise, redundancy, and computational complexity. This thesis proposes a hybrid framework that integrates Bayesian Networks (BNs) and Artificial Neural Networks (NNs) to improve classification performance of such data sets while reducing input dimensionality. Central to this work is a novel feature selection method based on d-separation, a structural property of Bayesian networks that encodes conditional independence relationships.

The proposed approach introduces a count-based d-separation metric to quantify the relevance of variables to a target outcome, along with a thresholding scheme to balance feature selection robustness …

Swosu Research And Scholarly Activity Fair 2026, Swosu Office Of Sponsored Programs

SWOSU Research and Scholarly Activity Fair Programs

On behalf of the University Research and Scholarly Activity Committee (URSAC) and the Office of Sponsored Programs (OSP) at Southwestern Oklahoma State University, we are pleased to welcome you to the Thirty-Fourth SWOSU Research and Scholarly Activity Fair.

Expanding The Convergence Canon: Indigenous Knowledge Systems And Place-Based Convergence Research In Lake Superior’S Keweenaw Bay, Usa, Melissa Baird, Valoree Gagnon, Judith Perlinger, Noel Urban, Larissa A. Juip, Kelly Kamm, Evelyn Ravindran, Caren Ackley, Cassandra M. Reed-Vandam

Michigan Tech Publications

This study presents results from an NSF-funded convergence research project conducted in partnership with the Keweenaw Bay Indian Community (KBIC) in Michigan’s Upper Peninsula, USA. While convergence research frameworks often emphasize deep integration, we argue that participatory, place-based, and community-led convergence requires maintaining an integrity of difference. Through a systematic literature review, surveys and semi-structured interviews, we examined how team members operationalized convergence research and the Tribal Landscape System (TLS) framework. Across these data sources, convergence emerged as a negotiated practice shaped by distinct roles, institutional responsibilities, and long-term partnership commitments. Our findings demonstrate that ethical engagement, adaptive collaboration, and …

Uptake And Fate Of Silver And Zinc Engineered Nanoparticles In Maize Under Single And Binary Dosing Soil Ecosystems, Lei Xu, Qingbo Yang, Xingmao Ma, Honglan Shi, John Yang, Hu Yang, Samira Mahdi, Ying Wang, Young Shin Jun

Chemistry Faculty Research & Creative Works

Recent agricultural applications of engineered metallic nanoparticles (ENPs) have raised concerns about their uptake and fate in plants. To understand this critical issue, this study investigated the fate and uptake of silver (Ag) and zinc oxide (ZnO) ENPs in maize (Zea mays L.) after single or binary ENP exposure in soil. Results indicated that both Zn and Ag elemental concentrations in roots increased with increasing ENP dosage. Ag NPs in the tissues were detected, but not Zn NPs. Ag NP concentration was 3 times higher in the roots than in the shoots at low Ag NP dosing, while Ag NP …