Engineering Commons^™

Biom 4784: Biomedical Design Studio (Syllabus), Amy Curry

Biomedical Engineering Syllabi Archive

Course Description: Laboratory experience dedicated to the design, development, and fabrication of a final prototype for use in conducting engineering analysis and design loop feedback. Responsibilities will include frequent team meetings, mentor advising, and group brainstorming along with prototype designing, technical drawings, fabrication, engineering analysis, and verification/validation. Deliverables for each team will be a prototype, final design specification report with engineering reports, and a final team presentation.

Biom 4410/Mech 4397: Engineering Practicum (Syllabus), Sheila Moses, Jeff Marchetta, Amy Curry

Biomedical Engineering Syllabi Archive

Course Description: Preparation for professional practice through experiential learning under the supervision of an experienced engineer with oversight by a member of the department’s faculty. Regular reporting throughout course required.

Biom 4782: Biomedical Design Practicum (Syllabus), Amy Curry

Biomedical Engineering Syllabi Archive

Course Description: Practical application of biomedical design principles with emphasis on project management, teamwork, prototype production, risk analysis and management, technical drawings, patent review with claim development, market analysis, regulatory issues, professional and ethical responsibilities of a biomedical engineer, engineering analysis/reports, incorporation of standards, prototype verification/validation, and presentation skills.

Experimental Evaluation Of Thermal Adaptation And Transient Thermal Comfort In A Tropical Mixed-Mode Ventilation Context, Yue Lei, Duygu Zeynep Tekler, Sicheng Zhan, Clayton Miller, Adrian Chong

Research Collection College of Integrative Studies

Mixed-mode ventilation offers a promising solution for achieving comfortable indoor environments in an energy-efficient manner. However, in the tropics, characterized by a year-round hot and humid climate, opportunities for natural ventilation (NV) are typically limited to specific hours, necessitating operational mode switches on an intraday basis. Much of the thermal comfort research on mixed-mode ventilation relies either on cross-sectional data collected from different subjects or longitudinal data spanning a few seasons. This raises an open question: Can occupants thermally adapt when switching between NV and air-conditioning (AC) modes within a single day? To address the gap, our experimental study engaged …

Insights Into The Heart Microstructure: A Case Study, Sarah Bulger

Honors Undergraduate Theses

This thesis focuses on better understanding the structures of the heart at the micro-scale. Cardiomyocytes and the branching of cardiomyocytes are of specific interest. A literature review was performed to extract key information on cardiomyocyte size, the branching type and frequency of cardiomyocytes, and cardiomyocytes' organization in general. The purpose of conducting the literature review was to find quantifiable data on the micro-structure of the heart. Three studies in particular provided data on the branching of cardiomyocytes. Two of these studies were conducted on rat hearts, while one other study was conducted on human hearts. The methods and terminology between …

Runtime Performance Of Gamess Quantum Chemistry Application Offloaded To Gpus, Masha Sosonkina, Gabriel Mateescu, Peng Xu, Tosaporn Sattasathuchana, Buu Pham, Mark S. Gordon, Sarom S. Leang

Electrical & Computer Engineering Faculty Publications

Computational chemistry is at the forefront of solving urgent societal problems, such as polymer upcycling and carbon capture. The complexity of modeling these processes at appropriate length and time scales is mainly manifested in the number and types of chemical species involved in the reactions and may require models of several thousand atoms and large basis sets to accurately capture the chemical complexity and heterogeneity in the physical and chemical processes. The quantum chemistry package General Atomic and Molecular Electronic Structure System (GAMESS) has a wide array of methods that can efficiently and accurately treat complex chemical systems. In this …

Immersive Virtual Labs For Enhancing In-Person And Online Education, Yiyang Li, Yuzhong Shen, Charles I. Sukenik

Electrical & Computer Engineering Faculty Publications

Labs play a critical role in science and engineering education, offering practical insights and hands-on experience to students that can't be achieved through theoretical learning alone. With the continuous advancement in technology, education is being reshaped and many universities are now offering online programs. This shift in educational paradigm offers students access to a wider range of academic resources, without being limited by geographical boundaries, time constraints, among others. However, the rise of online education also brings unique challenges, such as lack of face-to-face interaction and limited hands-on learning experiences. Virtual labs, which allow students to conduct experiments in a …

Visual Representation Based Creative Problem Solving (Cps) For Microelectronic Course, Gon Namkoong, Tian Luo

Electrical & Computer Engineering Faculty Publications

Microelectronic technologies become the basis for many modern revolutions and require technological innovation and creative transformation of new knowledge into products. This demands our engineering students to be more innovative and creative than ever. It also requires solid resources and strategies to cultivate higher-order thinking skills for engineering students. Presently, microelectronic course covers a wide range of topic areas, including basic semiconductor, pn junction diode, metal oxide semiconductor field effect transistor (MOSFET) and bipolar junction transistor (BJT) circuits. A traditional teaching strategy in a typical educational setting encompasses instructors delivering lectures to teach the basics and principles of microelectronic devices …

Transfer Learning For Field Emission Mitigation In Cebaf Srf Cavities, K. Ahammed, J. Li, A. Carpenter, C. Tennant, R. Suleiman

Electrical & Computer Engineering Faculty Publications

The Continuous Electron Beam Accelerator Facility (CEBAF) operates hundreds of superconducting radio frequency (SRF) cavities in its two linear accelerators (linacs). Field emission (FE) is an ongoing operational challenge in higher gradient SRF cavities. FE generates high levels of neutron and gamma radiation leading to damaged accelerator hardware and a radiation hazard environment. During machine development periods, we performed invasive gradient scans to record data capturing the relationship between cavity gradients and radiation levels measured throughout the linacs. However, the field emission environment at CEBAF varies considerably over time as the configuration of the radio-frequency (RF) gradients changes or due …

An Overview Of The Relationships Between The Food Industry And Nanotechnology, Mehdi Koushki, Nasrin Amiri-Dashatan, Hossein Pourghadamyari, Hadi Khodabandehloo, Fatemeh Bagheri, Masoumeh Farahani, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background and Objective: Due to the growth of the global population, food demands are increasing. Hence, the need to develop more efficient methods for producing better quality, safer, and more sustainable food seems essential. In the past decades, the use of nanoscale materials has increased greatly due to the unique chemical, physical, and biological characteristics of nanomaterials compared to bulk materials. This research presents nanotechnology role in improving sensorial properties (taste, appearance, and texture) and safety aspects as well as processing and packaging of foods. The use of nano-omics-based technologies and artificial intelligence-nanotechnology-based technologies in the food industry is also …

Predictive Modeling Of Healthcare Traffic Using Machine Learning: A Comparative Study, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md. Rafid Hassan, Nondon Lal Dey, Md. Sobuj Hossain

Electrical & Computer Engineering Faculty Publications

Effective healthcare traffic management is critical for ensuring prompt medical services, particularly in emergencies where delays can have life-threatening consequences. This study conducts a comparative analysis of three popular machine learning models—Linear Regression, Decision Trees, and Random Forests—for predicting healthcare-related traffic volumes. Utilizing a comprehensive dataset from a metropolitan interstate traffic system, the models were evaluated based on key performance metrics, including Mean Squared Error (MSE), R² Score, and execution time. The findings demonstrate that the Random Forest model outperforms the others, offering superior predictive accuracy and efficiency. These insights are valuable for optimizing traffic management in healthcare, ultimately contributing …

From Carnival Games To Plastic Filters: Preparing Elementary Preservice Teachers To Teach Engineering, Jennifer Kidd, Pilar Pazos, Kristie Gutierrez, Danielle Rhemer, Stacie Ringleb, Krishna Kaipa, Isaac Kumi, Orlando Ayala, Francisco Cima

Teaching & Learning Faculty Publications

Preservice teachers (PSTs) in an educational foundations course were tasked with leading elementary students in an engineering design challenge. In order to explore different approaches for helping the PSTs develop competence in engineering education, two implementation methods were tested. In Spring 2022, PSTs collaborated with undergraduate engineering students to develop carnival-themed design challenge lessons. In Fall 2022, PSTs worked with their PST classmates to teach a professionally prepared engineering lesson focused on designing plastic filters. PSTs’ knowledge of engineering and engineering pedagogy were compared across the two semesters using an exploratory approach. Both groups showed increases in engineering knowledge and …

Structural And Magnetic Properties Of Molecular Beam Epitaxy (Mnsb2te4)X(Sb2te3)1−X Topological Materials With Exceedingly High Curie Temperature, Candice R. Forrester, Christophe Testelin, Kaushini Wickramasinghe, Ido Levy, Dominique Demaille, David Hrabovsky, Xiaxin Ding, Lisa Krusin-Elbaum, Gustavo Lopez, Maria C. Tamargo

Publications and Research

Tuning the properties of magnetic topological materials is of interest to realize exotic physical phenomena, new quantum phases and quasiparticles, and topological spintronic devices. However, current topological materials exhibit Curie temperature (T_C) values far below those needed for practical applications. In recent years, significant progress has been made to control and optimize T_C, particularly through defect-engineering of these structures. Most recently, we reported T_C values up to 80 K for (MnSb₂Te₄)_x(Sb₂Te₃)_1−x when 0.7 ≤ x ≤ 0.85 by controlling the composition x and the …

The Impact Of Ai In Gaming Industry, Huang Xiaorong

MA Theses

With the rapid development of artificial intelligence (AI) technology, the application
of AI art in game development is becoming increasingly popular. AI art can not only help game developers speed up the creative process but also improve the visual quality and user experience of games. This paper provides an overview of the application of AI art in games, including character design, scene generation, animation production, and more. It also discusses the challenges and future directions of AI art. Through comprehensive analysis of existing research and practices, we find that AI art has tremendous potential in game development but still faces …

Filling Time-Series Gaps Using Image Techniques: Multidimensional Context Autoencoder Approach For Building Energy Data Imputation, Chun Fu, Matias Quintana, Zoltan Nagy, Clayton Miller

Research Collection College of Integrative Studies

Building energy prediction and management has become increasingly important in recent decades, driven by the growth of Internet of Things (IoT) devices and the availability of more energy data. However, energy data is often collected from multiple sources and can be incomplete or inconsistent, which can hinder accurate predictions and management of energy systems and limit the usefulness of the data for decision-making and research. To address this issue, past studies have focused on imputing missing gaps in energy data, including random and continuous gaps. One of the main challenges in this area is the lack of validation on a …

A Precision-Controlled Investigation Into The Fundamentals Which Drive The Incredible Superhydrophobic Properties Of Soot, Ashton Bressler

Theses and Dissertations

A PRECISION-CONTROLLED INVESTIGATION INTO THE FUNDAMENTALS WHICH DRIVE THE INCREDIBLE SUPERHYDROPHOBIC PROPERTIES OF SOOT

By Ashton Bressler

A thesis submitted as a partial fulfilment of the Virginia Commonwealth University requirements for a Masters of Science at Virginia Commonwealth University.

Virginia Commonwealth University, 2024.

This thesis investigates a precision controlled superhydrophobic soot surface, composed of semi-rigid linked chains of spheres, with a radii of roughly 14um. These spheres have exceptionally useful hydrophobic properties due to; their large surface area, their large triple phase line length, their low area fraction of solid-liquid interface, their ability to deform, and their strength from both …

Extrusion-Based Additive Manufacturing Of Magnetic Heat Exchange Structures For Caloric Applications, Vaibhav Sharma

Theses and Dissertations

Currently, the commercial building sector accounts for 18% of total U.S. end-use energy consumption, of which almost a third was from on-site combustion of fossil fuels for space and water heating. Magnetic heat pumping (MHP) technology is an energy-efficient, sustainable, environmentally-friendly alternative to conventional vapor-compression cooling technology. Several MHP designs today are predicted to be highly energy efficient, on condition that suitable working materials can be developed. This materials challenge has proven to be daunting due to issues associated with intricate synthesis/post-processing protocols and complications related to shaping the mostly brittle magnetocaloric alloys into thin-walled channeled regenerator structures to facilitate …

The Sexually Dimorphic Role Of Connexin 43 In Bone Remodeling And Disuse-Induced Bone Loss, Gabriel A. Hoppock

Theses and Dissertations

Bone loss is frequently experienced by individuals undergoing long-term disuse, such as prolonged bedrest, immobilization due to paralysis or injury, and conditions such as spaceflight. Under normal physiological conditions, bone remodeling is balanced by bone-forming osteoblasts and bone-resorbing osteoclasts, and the activity of osteoblasts and osteoclasts is orchestrated by osteocytes. Osteocytes are the most abundant cell type found in bone and ample evidence suggests they are bone’s main mechanosensory cell type. Therefore, understanding osteocyte biology and responses to mechanical signals, or lack thereof during unloading, may lead to new therapeutic targets to combat bone loss during disuse. Previous data has …

Few-Shot Learning For Ner Using Maml, Nourchene Bargaoui

Theses and Dissertations

This thesis investigates the application of Few-Shot Learning (FSL) using Model-Agnostic Meta-Learning (MAML) to enhance Named Entity Recognition (NER) within the domain of Natural Language Processing (NLP), specifically focusing on chemical datasets. The primary challenge addressed is the impracticality of relying on extensive annotated datasets, especially in specialized fields like chemistry. The research primarily explores the concept of Few-Shot Learning, aiming to train models on minimal data while maintaining performance across diverse tasks. It delves into the N-way K-shot methodology, where "N" represents the number of classes and "K" signifies the number of examples per class. This approach is further …

Levofloxacin Incorporated Extracellular Matrix Nanoparticles For Pulmonary Cystic Fibrosis Infections, Raahi Patel

Theses and Dissertations

Cystic fibrosis (CF) is a progressive genetic disorder that affects around 40,000 people in the United States. CF is characterized by a mutation in the CFTR protein that causes dysregulated ion transport across epithelial cells, producing viscous mucus in the lung that increases bacterial invasion, causing persistent infections and subsequent inflammation. Pseudomonas aeruginosa and Staphylococcus aureus are two of the most common infections in CF patients that are resistant to antibiotics. One antibiotic approved to treat these infections is levofloxacin (LVX) that functions to inhibit bacterial replication, but can be further developed into tailorable particles. Nanoparticles are an emerging inhaled …

Modeling Of Macroscopic Melt Splashing On Beryllium First Wall Panels Of Fusion Tokamaks Under Off-Normal Events, Cheng Zhang

Theses and Dissertations

Beryllium (Be) is a material which is used as a plasma facing component in tokamak reactors due to its unique properties of high thermal conductivity, low density, and high strength. However, under extreme conditions of high temperature and pressure, Be can melt on the surface of armor tiles and molten droplets can be ejected into the reactor chamber leading to disruption of fusion plasma. The variations of pressure, mass density, velocity, and temperature of Be vapor on the surface of melt layer as well as magnetic field strength and direction can influence the splashing of Be melt and their effects …

Modeling The Radiation Shielding Effectiveness Of Hafnium Diboride Reinforced Epoxy Composites Using Mcnp, Randolph Snook

Theses and Dissertations

This thesis uses MCNP simulations to evaluate the performance of a radiation shielding material consisting of Hafnium Diboride (HfB₂) powder in an epoxy matrix. Comparing the results to previously measured data against both gamma and neutron sources, suitability for other applications can be confirmed. The model simulated the epoxy material with different weight percentages of HfB₂ and thicknesses. It was compared to other shielding materials such as pure epoxy and 5% Borated High Density Polyethylene (HDPE-B). The HfB₂-epoxy composite was tested against a wide energy range gamma spectrum from a ¹⁵²Eu source, and neutrons …

Exploring End-User Environments For The Control And Programming Of Collaborative Robots, Luiz Felipe Fronchetti Dias

Theses and Dissertations

To collaborate with the ongoing development of robotics, this thesis highlights three research contributions to collaborative robot programming. The first study evaluates block-based programming as an alternative for two-armed robots. A commercial solution is put in contrast with a block-based programming language. Both programming solutions are evaluated by 52 participants in an experiment involving a pick-and-place task. This study brings insights into human-robot collaboration, including robot positioning and interaction challenges. The second study discusses using mixed-reality devices as a potential workaround to the manual positioning of industrial and collaborative robots. Five different control interfaces implemented in mixed reality were used …

The Regulation Of Laryngeal Cancer Cell Phenotype And Proliferation By 24r,25-Dihydroxyvitamin D3 Is Correlated With Erα Isoform Expression, Cydney Dennis

Theses and Dissertations

Laryngeal cancer is the most common type of head and neck cancer and is associated with poor prognosis due to common delayed diagnoses. The sex disparities associated with laryngeal cancer are constantly growing, as the risk of malignancy in males is continually increasing compared to women. Due to the high chance of late-stage diagnosis requiring aggressive treatments, there is a high demand for less aggressive treatment options and early-stage diagnostic markers. The apparent sex disposition of the larynx, the correlation between sex hormones, and the risk of malignancy in aging men suggest that estrogen may play a role in laryngeal …

Explore Security And Machine Learning Applications In Next Generation Wireless Networks, Haolin Tang

Theses and Dissertations

Next-generation (NextG) or Beyond-Fifth-Generation (B5G) wireless networks have become a prominent focus in academic and industry circles. This is driven by the increasing demand for cutting-edge applications such as mobile health, self-driving cars, the metaverse, digital twins, virtual reality, and more. These diverse applications typically require high communication network performance, including spectrum utilization, data speed, and latency. New technologies are emerging to meet the communication requirements of various applications. Intelligent Reflecting Surface (IRS) and Artificial Intelligence (AI) are two representatives that have been demonstrated as promising and powerful technologies in NextG communications. While new technologies significantly enhance communication performance, they …

Energy Efficient Spintronic Devices For Non-Volatile Memory And Hardware Ai, Walid Al Misba

Theses and Dissertations

Nanomagnetic devices have emerged as a promising alternative to conventional complementary metal-oxide-semiconductor (CMOS) devices due to their low energy dissipation and inherent non-volatility. However, the widespread adoption of these devices requires high-density, high-speed, reliable, scalable, and energy-efficient technologies. This thesis investigates the use of nanomagnetic memory devices as both conventional Boolean memory and multistate memory for hardware AI applications.

Magnetic tunnel junctions (MTJs) are nanomagnetic memory devices that can be switched reliably and energy-efficiently using stress-mediated switching. However, realistic material inhomogeneity and scalability pose challenges for stress-mediated switching of MTJs scaled to lateral dimensions below 50 nm. We demonstrate that …

A Complexity Aware Overlay Architecture For High Integrity Fpga Based Systems, Richard Dwight Hite Jr

Theses and Dissertations

Cyber-Physical systems are becoming more and more prevalent in our society and are simultaneously becoming more complex due to evolving technological capabilities in both hardware and software. This complexity exacerbates verification and validation activities thereby negatively impacting important system attributes like design assurance, system reliability, development costs and trust. These facts necessitate the need for computing architectures that constrain complexity for the sake of assurance. Traditional software and hardware development for safety-critical systems have been demonstrated in previous safety-critical systems and the established development methodologies are well understood. However, both technologies have their strengths and limitations. Processor-based technology (SW based …

Synthesis Of Lithium Nickel Cobalt Manganese Oxide (Ncm) Cathodes For Lithium-Ion Batteries, Jethrine H. Mugumya

Theses and Dissertations

There are various ways to produce lithium nickel manganese cobalt oxide (NCM) based cathodes for lithium-ion batteries, among them; co-precipitation synthesis carried out in tank-based reactors followed by lithiation is commonly employed because of its cost-effectiveness and scalability. Although it is the preferred synthesis method, it has several issues and challenges. Discussed in this dissertation are some of these issues as well as potential solutions. Physical and chemical properties of the co-precipitation product such as yield, particle size, morphology, and tap density, depend on various reaction parameters, which include pH, chelating agents, metal salt concentrations, and stirring speed. In the …

Muscle-Nerve Signaling And Its Role In Myogenesis, Synaptogenesis, And Regeneration, James T. Redden

Theses and Dissertations

Despite only comprising 0.1% of the myofiber surface area, a healthy motor endplate is densely packed with acetylcholine receptors (AChRs) responsible for mediating activity between the connected motor neuron and skeletal muscle via the neurotransmitter, acetylcholine. Loss of the endplate, known as fragmentation, is caused by car crashes, deep lacerations, and other traumatic injuries to the innervating nerve or direct injuries to the limb muscle(s) with intramuscular denervation as a common comorbidity. In both cases, endplate fragmentation begins within a week of injury proceeding muscle atrophy causing decreased mobility, paralysis, and quality of life. Endplate fragmentation of intact muscle fibers …

Hybrid Design Approaches For Reconfigurable Em Structures, Jonathan D. Lundquist

Theses and Dissertations

The modern world is replete with reasons for employing reconfigurable electromagnetic (EM) structures, but some of the most pressing needs require advancements in power consumption, speed, and footprint [1]. Next generation air defense (NGAD) fighters could benefit from new electronic warfare (EW) countermeasures [2], as well as adaptive stealth technology [3], while doctors could benefit from reconfigurable microwave ablation antennas that can modify radiation pattern and input impedance to match changes in tissue during ablation and account for variations in tumor shapes [4]. The future of antennas, filters, and lenses is reconfigurable as real-world matters of life and death may …