Engineering Commons^™

Engineering Zinc Anodes Through Advanced Manufacturing Strategies For Next-Generation Zinc–Air Batteries, Yasir Arafat, Kareem Bakhsh, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

Rechargeable zinc–air batteries (ZABs) are promising next-generation energy storage systems due to their high energy density, intrinsic safety, and low cost. Nevertheless, commercial deployment of Zn anodes is hampered by persistent challenges like dendrite formation, deformation, passivation, corrosion, and the hydrogen evolution reaction. This review systematically highlights the critical relationship between anode morphology and electrochemical performance and discusses recent advances in advanced manufacturing strategies for Zn anodes. Additive manufacturing approaches, such as 3D printing, enable the fabrication of porous and tunable Zn electrodes with enhanced surface area and uniform ion flux distribution. Furthermore, advanced materials processing techniques like alloying, coatings, …

Liquid Membranes For The Selective Extraction Of Lithium Ions From Brine: A Review, Maryam Gonbadi, Shayan Abrishami, Yasaman Boroumand, Ana Vafadar, Magdalena Wajrak, Amir Razmjou

Research outputs 2022 to 2026

The surging global demand for lithium, driven by its essential role in batteries for electric vehicles, portable electronics, and energy storage systems, underscores the need for efficient and sustainable extraction technologies. This review provides a comprehensive analysis of liquid-based membrane technologies (bulk liquid membranes (BLMs), supported liquid membranes (SLMs), and polymer inclusion membranes (PIMs)) for selective lithium extraction from brine sources. These membranes employ carrier molecules such as crown ethers, organophosphorus compounds, and ionic liquids to achieve high selectivity over competing ions through facilitated transport mechanisms. BLMs, primarily used in laboratory settings, utilize various configurations enabling selective complexation and diffusion …

Development, Performance Analysis And Application Of Polymer Inclusion Membranes: A Critical Review, Shayan Abrishami, Mahsa Golmohammadi, Matthew Myers, Masoumeh Zargar, Antonia Pérez De Los Ríos, Francisco José Hernández-Fernández, Amir Razmjou

Research outputs 2022 to 2026

Polymer Inclusion Membranes (PIMs) have emerged as sustainable separation platforms that integrate carrier-mediated selectivity within stable polymeric matrices, eliminating drawbacks of conventional solvent extraction such as solvent loss and emulsion formation. This review examines the fundamental principles, recent developments, and performance characteristics of PIMs, emphasizing design, fabrication, and operational optimization. The three essential components, base polymers, plasticizers, and carriers are systematically analysed alongside their synergistic effects on membrane stability, selectivity, and transport efficiency. Emerging materials including ionic liquids and deep eutectic solvents as dual-function plasticizers/carriers receive particular attention. Preparation methods are critically evaluated, including solution casting, phase inversion, and thermal …

Assessment Of Thickness-Dependent Recombination Mechanisms And Realistic Performance Limits In Csbi₃I₁₀ Lead-Free Perovskite Solar Cells, Samiul Sadek, Ayan Saha, Jegadesan Subbiah, Mohammad Tariqul Islam, Mohammad Junaebur Rashid, Mohammad Aminul Islam, Gufran Umar Alam Shaikh, Wan Zulhafizhazuan Bin Wan Jusoh, Mohammad Nur-E-Alam, Puvaneswaran Chelvanathan, Mohd Adib Ibrahim

Research outputs 2022 to 2026

Lead-free perovskite solar cells (PSCs) offer a promising, environmentally sustainable alternative to their lead-based counterparts, yet their performance is often constrained by charge transport and recombination limitations. This study presents a comprehensive numerical investigation into the thickness-dependent performance of lead-free bismuth-based PSCs employing CsBi₃I₁₀ as the absorber layer. Through systematic variation of the absorber, electron transport layer (ETL), and hole transport layer (HTL) thicknesses within a planar FTO/TiO₂/CsBi₃I₁₀/Spiro-OMeTAD/Ag architecture modeled using SCAPS-1D, an optimal absorber thickness range of 0.5–1.0 µm is identified. Under idealized conditions, a peak power conversion efficiency (PCE) of 21.62% is predicted, primarily to illustrate thickness-dependent trends. …

Efficiency Comparison Of Reduced Graphene Oxide (Rgo) Composite-Incorporated Polyacrylonitrile Nanofibrous Filters For Respirable Crystalline Silica Dust And Coal Dust, Mahsa Moradi, Ashish Kakoria, Lina Zheng, Guang Xu

Mining Engineering Faculty Research & Creative Works

The health of miners working in underground mines is greatly threatened by their exposure to respirable crystalline silica (RCS) found in coal dust. While coal dust includes RCS, it is important to know the specific filtration efficiency for RCS particles compared to coal dust to improve protective measures. This study compares the filtration efficiency of reduced graphene oxide (rGO) composite-incorporated Polyacrylonitrile (PAN) nanofibrous filters at four different concentrations of rGO (0, 2, 6, and 10 wt.%) for RCS particles and coal dust. The filters were made using the electrospinning method. They were tested separately with RCS particles and coal dust …

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

Voltage Breakdown Strength And Energy Density Of Ceramic Srtio₃ At Cryogenic Temperatures From 295 K To 77 K, Hung Trinh, Alan Devoe, Fatih Dogan

Materials Science and Engineering Faculty Research & Creative Works

The low-temperature dependence of the DC dielectric breakdown strength (EBD) and the energy storage density (W) of capacitors, fabricated from high purity polycrystalline strontium titanate, were investigated in the temperature range from 295 K to 77 K. Test samples were constructed with a process similar to that used for multilayer ceramic capacitors (MLCCs). The permittivity, loss tangent, leakage current, and breakdown strength were measured as a function of temperature and voltage. Weibull statistical analysis was used to quantify breakdown distributions. Despite electric-field suppression of permittivity, breakdown strength increased significantly with decreasing temperatures, leading to enhanced energy density. The breakdown field …

Propagation And Interaction Of Gravity Currents Induced By Successive Release Of Two Lock Fluids, Khem Prasad Bhattarai, Subhas Karan Venayagamoorthy

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study investigates the dynamics of sequentially released gravity currents in a lock-exchange configuration consisting of two lock fluids using high-resolution numerical simulations and compares them with the classical single-lock exchange. The results demonstrate that, in a two-lock-fluid configuration, the overtaking of the lighter lock current by the heavier lock current alters the current's front dynamics, leading to complex velocity transitions. Before overtaking occurs, the front propagation is slower than in the classical single-lock-fluid case because of lower density contrast, but after overtaking, the heavier lock fluid accumulates at the head region of the current and enhances its speed. The …

Community Engagement Through Robotics Mentoring – Unlv, First Nv, And High School Robotics Teams, Brendan O'Toole

Community Engagement Expo Research Posters

The UNLV Robotics Mentorship program includes a two-semester course that trains students to support local high school FIRST Robotics Competition (FRC) teams. ‘ME 464 Robotics Mentoring I’ provides training in design, mentoring,  fabrication, and programming. ‘ME 465 Robotics Mentoring II’, pairs students with local high school teams to serve as technical mentors for the competition season.

Asymmetric Airfoil Selection For A Small-Scale Vertical Axis Wind Turbine: A Numerical Study, Babak Ranjbaran, Yonatan Afework Tesfahunegn, Raul Bayoan Cal, Ármann Gylfason

Mechanical and Materials Engineering Faculty Publications and Presentations

Vertical-axis wind turbine (VAWT) efficiency depends mainly on the aerodynamic properties of the airfoils used in their blades. During each rotation of the turbine, the blade experiences a range of angles of attack (AOAs) with respect to the relative wind, resulting in a variation of its contribution to the overall performance of the turbine. This paper leverages the capabilities of XFoil for preliminary performance analysis and ANSYS Fluent for detailed Computational Fluid Dynamics (CFD) simulations. The initial selection of airfoils is based on geometric characteristics and their potential for high tangential force coefficients. The asymmetric airfoils were selected by maximizing …

Electronic Trap-State Modulation In Sm-Doped Sno Nanofibers Enables Ultrasensitive Hydrogen Sensing, Asky Fungura, Shan Hu, Shuang Gu, Yixin Liu

Michigan Tech Publications

The demand for sub-ppm hydrogen (H) sensing is growing across emerging applications such as environmental monitoring, breath-based disease diagnostics, and early-stage battery failure detection. However, achieving reliable ppb-level detection with chemiresistive metal oxide sensors remains challenging. At trace gas concentrations, resistance modulation is often insufficient, particularly in the absence of noble metal catalysts. Here, we report samarium-doped tin dioxide (Sm-SnO) nanofibers in which electronic trap-state modulation is exploited to enable ultrasensitive hydrogen sensing. The 2 at% Sm-doped SnO nanofibers exhibited markedly enhanced H sensitivity, achieving clear detection down to 25 ppb H at 200 °C, with a theoretical limit of …

AiXGa1−XN (0.7 < X < 1) Schottky Diodes Using Distributed Polarization Doped Layer With A Current Density Of 14 Ka/Cm2, Tariq Jamil, Abdullah Al Mamun Mazumder, Mafruda Rahman, Muhammad Ali, Grigory Simin, M. Asif Khan

Faculty Publications

High Al-content Al_xGa_1-xN (0.7 < x < 1) quasi-vertical Schottky barrier diodes (SBDs) with distributed polarization doping were grown on the bulk AlN substrate. They exhibit excellent rectification behavior with a large forward current density (~14 kA/cm² ) and a high breakdown field of ~8.3 MV/cm. The SBDs also exhibited low ideality factors of (n~1.2) with a high Schottky barrier height (Φ _b~ 1.7 eV). Thus, this study demonstrates the feasibility of the distributed polarization doping approach for high current–high voltage devices.

Intrusion Detection Latency: The Neglected Metric, Sandhyarani Dash, John M. Acken

Electrical and Computer Engineering Faculty Publications and Presentations

Accuracy remains the dominant evaluation metric in Intrusion Detection System (IDS) research, yet an IDS that detects attacks too late is functionally equivalent to one that fails—particularly in Internet of Things (IoT) environments. In operational settings, the timing of detection shapes both the scope of adversarial activity and the feasibility of effective response. To the best of our knowledge, latency (the speed at which intrusions are identified) has received no systematic attention. Our analysis of published IDS papers reveals that latency is defined inconsistently—often referring to inference, communication, computation time, or combinations of these-leading to incomparable performance claims. To close …

Flaked Paraffin Wax-Based Thermally Enhanced Composite Phase Change Materials: Toward A Highly Efficient Thermally Responsive Temperature-Regulating Asphalt Pavement, Feng Ma, Meng Pang, Zhen Fu, Xinye Jiang, Qiang An, Yingjie Hou, Wenhao Dong, Jenny Liu, Jiasheng Dai

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

To mitigate high-temperature distress in asphalt pavements and enhance thermal regulation, flaked paraffin wax (FPW) was selected as the PCM and incorporated into asphalt. To prevent leakage, FPW was microencapsulated (FPW-MPCM). To boost thermal conductivity, FPW-MPCM was combined with expanded graphite (EG) via two methods: One method involves using EG as an adsorption carrier to prepare EG-adsorbed FPW phase change microcapsules (FPW-MPCM-EG); the other method uses EG as the core material to prepare FPW/EG graphite phase change microcapsules (FPW/EG-MPCM). These four PCMs were added to asphalt at 3 %, 6 %, 9 %, and 12 % (wt.%) to prepare phase-change …

Geospatial Analysis Of Primary Healthcare Accessibility And Qualitative Assessment Of Affordability In Rural Communities Of Twifo Ati-Morkwaa District, Ghana, Peter Ansah Boakye, Daniel Buor, Francis Tei-Nartey

Michigan Tech Publications

Regardless of the efforts of the government and the private sector to improve health facilities in Ghana, a significant number of rural communities still experience inadequate access to primary healthcare. This study used the mixed-methods approach to provide an overview of the geographic distribution of healthcare facilities and the accessibility and affordability of primary healthcare within the Twifo Ati-Morkwaa District. Accessibility was assessed using Euclidean buffer analysis around primary healthcare facilities, while affordability was examined qualitatively using in-depth interviews and focus group discussions with community members, community leaders and health workers. Focus group discussions and interviews were conducted using the …

Sweep Angle Effects Of Flow Over A Seal Whisker-Inspired Undulated Cylinder, Trevor Dunt, Christin T. Murphy, Ondrej Fercak, Raúl Bayoán Cal, Jennifer A. Franck

Mechanical and Materials Engineering Faculty Publications and Presentations

Flow over a seal whisker-inspired undulated cylinder at swept back angles is computationally investigated, comparing the vortex shedding, forces, and wake characteristics to those of an equivalent smooth geometry. Numerous prior studies have demonstrated that undulated cylinders can reduce mean drag and unsteady lift oscillations; however, none have isolated the effects of the sweep angle resulting from whisker positioning in flow. Inspired by the active control seals exert over their whiskers while navigating and sensing in unsteady aquatic environments, this study investigates how such orientation influences the hydrodynamic performance of the geometry. Simulations are performed of flow across a rigid, …

Reconstruction Of Information System Acceptance Model In The Era Of Integrated Artificial Intelligence: A Systematic Literature Review, Ilham, Merlin Apriliyanti

Library Philosophy and Practice (e-journal)

This study aims to explain the rapid development of Artificial Intelligence (AI) which has driven significant transformations in the development and use of information systems. However, most classical information system acceptance models, such as the Technology Acceptance Model (TAM) and  (UTAUT), have not been able to fully explain the unique characteristics of AI-based systems that are autonomous, adaptive, and complex. This study aims to reconstruct the information system acceptance model in the era of integrated AI through a Systematic Literature Review (SLR) approach. This study was conducted using the PRISMA protocol on 130 leading scientific articles indexed by Scopus and …

The Waldo Dataset, Mary E. Koone, Rosie Kallie, Vassilis Athisos, Laurel S. Stvan

Computer Science and Engineering Datasets - Archive

Distinct from the task of predicting the author of a document (authorship attribution), we focus on addressing the issue of how to estimate the similarity between the written language styles of authors. To do so, we present a dataset of metadata derived by asking human annotators, who were presented with three documents, to identify which two were written by the same author and which was written by a different author. The dataset has over 400 such annotations, creating a companion to the Amazon Web Services (AWS) customer review dataset, laying the groundwork for crowdsourcing applications to other natural language processing …

Virtual Humans In Virtual Reality: A Scoping Review On Sociability, Fidelity, And Expression, J K Sangeeth Chandran, Marisa Llorens Salvador, Cathy Ennis

Articles

Introduction:

Virtual reality (VR) systems have evolved significantly over the past decade, enabling immersive experiences with enhanced realism and interactivity. This has motivated an interest in socially oriented applications. As user proxies, Virtual Humans (VHs) play essential roles in such applications. However, despite technological advancements, achieving realistic, expressive, and socially responsive VHs continues to present design and implementation challenges. In this scoping review, we present the state-of-the-art of VR VHs, examining the impact of VHs on the user experience.

Methodology:

We reviewed 59 papers retrieved from five databases across three core themes: the implementation and impact of VH facial expressions, …

Aiw26s: Prompt Engineering, Ila Lama

Paul English Applied Artificial Intelligence (AI) Institute Publications

This workshop introduced participants to prompt engineering and how to effectively communicate with AI systems. Led by Ila Lama, the session covered key strategies such as defining goals, providing examples, setting constraints, and refining prompts to improve AI-generated outputs.

Participants explored applications of AI across domains, including education, business, and social media, while also discussing responsible AI use. The workshop emphasized that strong prompt design leads to more accurate, structured, and useful results, and that AI should be used to enhance human creativity and decision-making.

Mechanical Performance Of Equilateral Triangular Lattices: The Role Of Nodal Fillets, Fakhreddin Emami, Andrew J. Gross

Faculty Publications

Triangular lattices are widely employed for their high strength to weight ratios, yet their mechanical performance is sensitive to geometric features, particularly the nodal geometry. This study investigates the influence of nodal geometry on the mechanical behavior of equilateral triangular lattices across a broad range of relative densities using high fidelity finite element simulations. We characterize the elastic properties, and strength limits as functions of fillet radius. Our results confirm the expected trend that, in stretching-dominated lattices with low relative density, the introduction of fillets reduces both stiffness and buckling resistance. In contrast, at higher relative densities, filleted nodes can …

Recent Advances In Graphene-Based Field-Effect Transistor Biosensors For Disease Biomarker Detection And Clinical Prospects, Deeksha Nagpal, Anup Singh, John Link, Abijeet Mehta, Ashok Kumar, Vinay Bhudhraja

Health & Biomedical Sciences Faculty Publications

Field-effect transistor (FET) biosensors using graphene have become one of the most promising biosensing platforms for the early diagnosis of diseases with features such as high sensitivity, label-free detection and application compatibility with point-of-care systems. Herein, we critically discuss recent advances in graphene FET (GFET) biosensor development toward clinically relevant biomarkers associated with representative diseases including cancer, neurodegenerative disease, infectious disease, and inflammatory conditions. Recent progress was reviewed to evaluate GFET architectures, surface functionalization methods, and detection quality. The biomarkers explored were clusterin in Alzheimer’s disease, thrombin in coagulopathy, estrogen receptor α (ER-α) in breast cancer, Carcinoembryonic antigen in lung …

Multi-Modal Tensor Fusion For Alzheimer’S Disease Recognition, Mason Li, Tiffany Le, Jiajing Huang, Yuxin Wen

Engineering Faculty Articles and Research

Accurate and early diagnosis of Alzheimer’s disease (AD) is critical for effective intervention, disease monitoring, and patient care. Traditional diagnostic approaches rely on a single modality, such as clinical assessments, neuroimaging, or genetic markers, which may fail to capture the complex, multifaceted nature of AD. Multimodal learning has therefore been explored to integrate complementary information across data sources. However, conventional fusion strategies, including early feature concatenation and late decision-level fusion, often model modalities independently and fail to capture high-order cross-modal interactions. To address these limitations, we propose a multimodal tensor fusion network (MTFN) that integrates heterogeneous data sources, including visual …

The Writing On The Wall: The Rise Of Applied Ai And The Life-Or-Death Choice Every Ceo Must Make Now, Gary Sheng, Ron Roberts

Digital Laboratory: Publisher of Internet Journal

Applied AI is putting AI to its highest and best use: running your organization as autonomously as possible so you can deliver value for humanity while maximizing the scale of the value. The economy is splitting. Organizations that adopt applied AI are expanding their capacity, accelerating their impact, and pulling ahead. Those that don't are quietly becoming irrelevant, not because they're doing bad work, but because the gap between what they can do and what the moment requires is widening every day. This is not a technology question. It is a leadership question. This paper is written for organizational leaders, …

Photoplethysmography For Measuring Cognitive Load In Xr Environments: A Systematic Review, Alya Alshehhi, Qammer H. Abbasi, Rami Ghannam

School of Engineering Technology Faculty Publications

Photoplethysmography (PPG) is a low-cost, low-power biosensing technology with growing applications in education, particularly for monitoring cognitive load in eXtended Reality (XR) learning environments. Measuring cognitive load is critical for preventing overload and optimising immersive learning, yet existing approaches such as self-reports or Electroencephalography (EEG) are often intrusive, costly or impractical for real-time use. This systematic review is the first to synthesize a decade of research (2015–2025) on the use of PPG for cognitive load measurement in XR. Twenty-three studies were identified and analysed according to PRISMA guidelines, with attention to sensor placement, integration with other modalities, research design, and …

Investigation Of Process Parameters To Fabricate Tiwmo Refractory Medium Entropy Alloy Via Laser Powder Bed Fusion, Abdullah Al Masum Jabir, Lindsey A. Salazar, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

This paper presents an experimental study on the fabrication of a TiWMo refractory medium-entropy alloy (RMEA) using laser powder bed fusion (PBF-LB/M, commonly known as selective laser melting) from elemental powders as well as successful alloy formation on titanium substrates. The effects of tungsten particle size and process parameters on successful TiWMo RMEA fabrication have been explored using scanning electron microscopy (SEM), x-ray diffraction, hardness measurement and microstructural analysis. Scanning electron microscope (SEM) analysis revealed that the lowest percentage (0.01%) of unmelted tungsten particles was observed at a laser power of 350 W and scanning speed of 250 mm/s, particularly …

Geometry-Driven Controls On Hydrothermal Natural Hydrogen Generation From Magnetite Mineral, Kaveh Moghanirahimi, Lionel Esteban, Valeriya Shulakova, Muhammad Ali, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Despite recent efforts to investigate hydrothermal natural hydrogen production from magnetite, the effects of sample geometry and surface area on hydrogen yields remain inadequately characterized. This study compares hydrogen production from natural magnetite prepared as an intact slab versus fine powder under identical experimental conditions (pH 9, 200 °C, 103.4 bar, 60 days). The results show that magnetite powder yielded 0.052 mmol g−1 rock hydrogen, approximately fivefold higher than the slab. Comprehensive characterization of the magnetite slab revealed increased surface roughness after reaction. Quantitative XRD analysis showed substantial phase conversion from magnetite to hematite, consistent with oxidation of Fe2+ to …

What Holds High-Speed Rail Back: Lessons From Global Systems And California’S Experience, Deepak K. Sharma, Rajnish Lekhi, Scott Parr

Mineta Transportation Institute

This report examines benefits and challenges of integrating California High-Speed Rail (CHSR) with other rail systems and reviews California legislation impacting HSR’s contracting and financing alternatives. The research compares CHSR with high-speed rail systems around the world to identify similarities and differences in costs, speeds, ridership, and operating conditions. It also reviews Japan’s Land Readjustment Act as a model for value capture and land assembly and explores international experiences on rail integration, along with U.S. cases from the East Coast and Los Angeles. A review of California’s transportation legislation highlights how laws for highways and bridges differ from those for …

Equity Evaluation Of Residents’ Transit+Walk Accessibility To Sacramento Healthcare Facilities, Masoud Ghodrat Abadi, Ahoura Zandiatashbar, Aaron Pickett, Stephanie Nemet, Soheil Sharifi

Mineta Transportation Institute

Access to healthcare is a key component of public health equity, yet many U.S. communities remain dependent on private vehicles for medical travel. This study introduces an integrated framework, the Transit+Walk Score (TWS), to evaluate how effectively residents of Sacramento, California, can reach healthcare facilities via public transit and how safely, comfortably, and conveniently they can walk from transit stops to those facilities. The research aims to inform planners, transit agencies, and policy makers in designing equitable and multimodal transportation systems. The research team combined geospatial network modeling and field-based walkability audits to assess 123 healthcare facilities across Sacramento, with …

Analogy2kg: An Automatic Pipeline For Deriving Knowledge Graphs From Long-Text Analogies, Kara Combs, Lance E. Champagne, Bruce A. Cox, Christine M. Schubert Kabban, Trevor Bihl, Grace Lemming

Faculty Publications

Analogical reasoning is an increasingly popular, lightweight solution to enable large language model (LLM)-level reasoning without computational complexity. Still, it has yet to be adopted due to its reliance on strictly hand-formatted data. Therefore, we propose Analogy2KG (“Analogy to Knowledge Graph”), as an automatic pipeline that transforms text into a KG format via a fine-tuned version of information extraction (IE) algorithms for long-text analogies. The need to verify that the complex underlying analogical structure of the data is maintained was done via paired samples tests in the creation and validation of this pipeline. Graph density was used to evaluate the …