Engineering Commons^™

Temporal Evolution Of Workforce Fatality-Linked Factors In The Transportation Construction Sector, Mariam Elazhary, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Despite advancements in safety measures, fatalities in the transportation sector remain disproportionately higher than in other industries. Transportation sector fatalities arise from a combination of demographic, environmental, and occupational factors that amplify the overall risk. While strides have been made in understanding the factors contributing to fatalities, there remains a critical gap in research focused on their temporal evolution. The goal of this study is to investigate the temporal evolution of fatality-linked association factors in the transportation construction sector. The methodology encompassed three stages. Stage 1 was preprocessing the data: the US Census of Fatal Occupational Injuries, covering 3,792 fatality …

Labor Productivity Losses Across Construction Trades: A Machine Learning Approach, Tamima Elbashbishy, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Labor productivity is a major concern in the construction industry. Existing research on construction labor productivity (CLP) within specific trades has produced inconsistent findings due to differences in the factors analyzed. This lack of consistency makes it difficult to identify the most critical drivers of productivity losses across trades. To address this gap, this study adopts a cross-trade analytical approach to systematically identify and evaluate the inefficiencies impacting labor productivity in multiple construction trades. Specifically, the study (1) identified common organizational and project-level inefficiencies that influence labor performance; (2) conducted an expert-based survey to measure the frequency and perceived impact …

Failure Analysis Of Prestressed Concrete Girder Bridges Under Over-Height Truck Impacts, Mohamed T. Elshazli, Mohamed Elgawady, Tao Xing, Ahmed Ibrahim

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Accidental collisions between over-height trucks and bridge superstructures are a common threat to existing bridge infrastructure. These incidents often stem from illegal over-height vehicles or truck operators' unawareness of clearance limits, posing serious safety risks and causing substantial structural damage. This study presents a comprehensive numerical investigation of the dynamic response of prestressed concrete girder bridges subjected to over-height truck impacts. Large-scale finite element models were developed in LS-DYNA, with validation conducted against experimental results. The parametric study explored impact speeds ranging from 16 to 113 km/h (10 to 70 mph), impactor masses between 2 and 6 tons, impact locations, …

Predicting Groundwater Withdrawals Using Machine Learning With Limited Metering Data: Assessment Of Training Data Requirements, Dawit Asfaw, Ryan G. Smith, Sayantan Majumdar, Katherine Grote, Bin Fang, B. B. Wilson, V. Lakshmi, J. J. Butler

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The future of major aquifer systems supporting irrigated agriculture is threatened due to unsustainable groundwater pumping. Metering of pumping is key for implementing robust groundwater management, but metering is limited in most aquifers. Although machine learning methods have been used to estimate pumping over certain regions, these studies have not fully demonstrated the data quantity and input parameter requirements to accurately estimate regional groundwater pumping. This study determined the data quantity required and identified relevant features to develop Random Forests-based annual groundwater pumping estimates (2008–2020) over the Kansas High Plains aquifer. We predicted pumping at two spatial scales, i.e., point …

Kentucky Model Minimum Uniform Crash Criteria (Mmucc) Sixth Edition Report Card, William Staats, Nikiforos Stamatiadis, Eric Green, Nathaniel Swallom

Kentucky Transportation Center Research Report

The National Highway Traffic Safety Administration published the Model Minimum Uniform Crash Criteria (6th Edition) (MMUCC) in 2024. This updated version of the MMUCC contains recommendations for improving and standardizing electronic crash data. Its guidelines address the collection and presentation of 105 data elements and 1,056 data attributes. To facilitate a possible redesign of Kentucky’s crash reporting process, Kentucky Transportation Center (KTC) researchers reviewed the updated criteria and evaluated the degree to which the state complies with its recommended methods of gathering, storing, and presenting crash data. At the level of data elements, Kentucky is 25 percent compliant; for data …

Enabling Carbon Dioxide Mineralization And Active Set Control In Portlandite-Based Cementitious Suspensions, Xiaodi Dai, Sharu Bhagavathi Kandy, Rui Xiao, Manas Sarkar, Shubham Wani, Thiyagarajan Ranganathan, Narayanan Neithalath, Aditya Kumar, Mathieu Bauchy, Edward Garboczi, Torben Gädt, Samanvaya Srivastava, Gaurav Sant

Materials Science and Engineering Faculty Research & Creative Works

The real-time control of concrete's stiffening allows users to better control pumping and extrusion during 3D-printing processes. Here, a portlandite-based cementitious formulation (i.e., slurry or suspension) that features the potential for rapid CO₂ uptake is adapted for 3D-printing applications. In particular, we showcase a portlandite-fly ash binder system combined with a thermo responsive polymer, wherein precise control via thermal activation allows set control and rapid solidification. Through the thermally induced polymerization of polyacrylamide, the hybrid binder system rapidly undergoes stiffening at trigger onset temperatures ranging from 60 °C to 80 °C, exhibiting average stiffening rates of up to 2600 …

Exploring The Adoption Of Construction Technologies In Infrastructure Projects: Bridging Perceptions Of Experts With Real Project Data, Fareed Salih, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Infrastructure projects have progressively adopted construction technologies, yet previous studies have not fully explored technology utilization by comparing the perceptions of experts with actual project data. This research fills this knowledge gap. The authors (1) developed, distributed, and collected a survey completed by 52 construction practitioners to investigate the use of these technologies and their associated benefits; (2) checked the survey reliability and validity using Cronbach's alpha test; (3) investigated the perceptions of utilizing construction technologies across industry sectors; (4) explored the perceptions of benefits across industry sectors; (5) analyzed the impact of construction technologies on project objectives and phases …

Guiding State-Specific Studies On Highway Disasters: Examining Differences In Postdisaster Funding, Mariam Elazhary, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The highway sector is frequently and severely impacted by natural disasters. To mitigate these effects and reduce the need for large relief budgets or emergency funds, it is crucial to study the resilience of the transportation network. As such, defining resilience in absolute terms is not enough; instead, it is equally important to analyze specific case studies and build a lessons-learned rapport. This is critical because it helps identify unique vulnerabilities and strengths that might be overlooked in broader analyses. However, current research on highway resilience often lacks empirical evidence to support the selection of these unique and significant case …

Kentucky Traffic Collision Facts Calendar Year 2024 Report, Paul Ross, Eric Green, Christopher Blackden, Kenneth Agent, Christopher Van Dyke

Kentucky Transportation Center Research Report

No abstract provided.

2025 Safety Belt Usage Survey In Kentucky, Erin Lammers-Staats, Derek Young, Kenneth Agent

Kentucky Transportation Center Research Report

No abstract provided.

Irp Commercial Trailer Data Feasibility Study, Brian Howell, Jennifer Walton

Kentucky Transportation Center Research Report

This study evaluates the feasibility for developing and maintaining a comprehensive tractor truck trailer database. The commercial motor vehicle (CMV) community currently lacks a cross-jurisdictional, centralized repository for commercial trailers registered in United States and Canadian jurisdictions. Existing federal databases provide information on interstate commercial motor carriers, vehicles, and drivers but exclude trailers. Similarly, IRP and IFTA do not collect trailer-level data, and trailer data is displayed inconsistently across its customer base. Approximately one fifth of violations in Kentucky during inspections from 2020 to 2022 were attributed to trailers, including worn tires, inadequate brakes or improper registration. The rise of …

Nanostructured Zinc Stannate Perovskite Films Synthesized Via Molten Salt Modified-Solvothermal Method For Enhanced Piezoelectric Properties, Christopher Munoz, Alyssah Fuentes, Christian Alaniz, Tarik Dickens, Mohammed Jasim Uddin

School of Integrative Biological & Chemical Sciences Faculty Publications

Three dimensional (3D) piezoelectric zinc stannate (ZnSnO3) nanoweb arrays are synthesized using a molten salt modified solvothermal method and deposited in PDMS films for electrochemical analysis of its piezoelectric response. This work is a preliminary assessment of comparative piezoelectric efficacy influenced by changes in synthesis, effecting dimension and particle size. Advantages of hydrothermal, molten salt, and solvothermal synthesis methods were leveraged to facilitate several chemical and surface engineering techniques to enhance piezoelectric properties by increasing the surface area of zinc stannate nanoparticles. The combination of these treatments reduce the size of zinc stannate to approximately ∼40nm-80nm weblike networks. Scanning …

In Situ High-Temperature Raman Spectroscopy For Online Eaf Slag Analysis, Bohong Zhang, Hanok Tekle, Ronald J. O'Malley, Jeffrey D. Smith, Farhan Mumtaz, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Real-time monitoring of slag chemistry is critical for optimizing Electric Arc Furnace (EAF) steelmaking operations, where dynamic variations in slag composition directly influence slag foaming, refractory degradation, and thermal efficiency. Conventional techniques such as X-ray fluorescence (XRF), Fourier-transform infrared (FTIR), and scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS) are commonly used to analyze slag composition, but their offline nature and equipment constraints limit their applicability for online monitoring in harsh industrial environments. To address this challenge, we present an in situ, high-temperature analytical approach that integrates Raman spectroscopy with a custom-designed fiber-optic probe for real-time slag characterization at …

How Does The Sewer Microbiome Impact Wastewater Surveillance For Antibiotic Resistance?, Israel Adedayo Adeoye, Ishi Keenum

Michigan Tech Publications

Antibiotic resistance is a global health threat that is difficult to directly monitor prior to clinical presentation. Wastewater surveillance has emerged as a public health tool that could aid in identifying the community wide circulation of antibiotic resistance genes (ARGs) and antibiotic resistant bacteria (ARB), however this is complicated by the potential growth and decay of ARB within the sewer network. Sewer systems have been suggested as a primary place where sub-lethal doses of antibiotics are present with human and environmental adapted bacterial strains, however little is understood about what physiochemical properties might enhance or inhibit ARG propagation. Hence, key …

Communicating Wastewater-Based Surveillance Data To Drive Action, Kata Farkas, Devrim Kaya, Rasha Maal-Bared, Ahmad I. Al-Mustapha, Sarmila Tandukar, Ishi Keenum, Teemu Gunnar, Aaron Bivins, Matthew J Wade, Kyle Bibby, Tarja M. Pitkänen, Ananda Tiwari

Michigan Tech Publications

As exemplified during the COVID-19 pandemic, wastewater-based surveillance (WBS) can deliver near real-time, population-level pathogen data to guide public health action. Its impact, however, hinges on timely, transparent, and context-specific communication to stakeholders, including health authorities, policymakers, scientists, clinicians, and the public. This review examines current WBS communication practices, identifies persistent challenges, and proposes strategies to enhance relevance. Key challenges include data complexity, lack of standardised communication frameworks, ethical and privacy concerns, and variable stakeholder capabilities. The strategic use of digital platforms, such as dashboards, reports, press releases, and social media, alongside traditional media, can broaden reach and aid interpretation. …

Additively Constructed Plain Concrete Pipes: Structural Performance And Site Implementation, Alireza Hasani, Boshra Besharatian, Sattar Dorafshan

Civil Engineering Faculty Publications

Worldwide, extrusion-based additive construction of cementitious materials or 3D Concrete Printing (3DCP) has gained significant momentum for large-scale construction in recent years. This technology has advanced building construction across the world; however, it is rather underdeveloped in transportation infrastructure construction. This paper addresses major hurdles hindering the wider adoption of 3DCP for unreinforced/plain pipe culvert construction. More specifically, the authors investigated the load-bearing capacity of large-scale pipes under the three-edge bearing (TEB) test. Additionally, the effects of printing discontinuities or seam sections on the structural behavior of 3DCP pipes, and their site implementation considerations as culvert structures were studied in …

Single-Molecule Orientation And Localization Microscopy, Sophie Brasselet, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

Single-molecule localization microscopy (SMLM) offers enhanced spatial resolution in optical microscopy, providing detailed insights into the spatial organization of proteins in cells at the nanoscale. Over the past decade, SMLM has progressively incorporated the capability to retrieve the orientations of single molecules using their polarized dipolar emission pattern. Here we explore recent advancements in single-molecule orientation and localization microscopy (SMOLM), which yields super-resolved images of molecular three-dimensional (3D) orientations, wobble and 3D positions. This advancement opens possibilities to explore the nanoscale organization and conformation of biological molecules as well as to monitor and design local 3D optical fields in nanophotonics. …

Diffusion Mri Biomarkers For Predicting Treatment Outcomes In Infantile Epileptic Spasms Syndrome With Non-Lesional Mri, Daniel Ackom, Scott A. Beardsley, Jennifer Meylor, Kayleigh Butler, Ricardo Vega, Andrew J.D. Crow, Hema Patel, Brian D. Schmit, Pradeep Javarayee

Biomedical Engineering Faculty Research and Publications

Background

Infantile epileptic spasms syndrome (IESS) is a devastating developmental epileptic encephalopathy (DEE) and patients exhibit diffuse white matter alterations and structural remodeling. However, the correlation between these structural changes and brain network properties, or their effect on the efficacy of treatment outcomes in MRI non-lesional IESS patients is not clear.

Method

This retrospective study was conducted on IESS patients using fixel-based analysis (FBA) of diffusion MRI and graph theory analysis of structural connectivity, involving 26 non-lesional IESS patients aged 2 to 12 months and 120 age-matched controls. We further examined the differences between antiseizure medication (ASM) responders and non-responders …

Physics-Based Machine Learning Framework For Predicting Structure-Property Relationships In Ded-Fabricated Low-Alloy Steels †, Atiqur Rahman, Md Hazrat Ali, Asad Waqar Malik, Muhammad Arif Mahmood, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The Directed Energy Deposition (DED) process has demonstrated high efficiency in manufacturing steel parts with complex geometries and superior capabilities. Understanding the complex interplays of alloy compositions, cooling rates, grain sizes, thermal histories, and mechanical properties remains a significant challenge during DED processing. Interpretable and data-driven modeling has proven effective in tackling this challenge, as machine learning (ML) algorithms continue to advance in capturing complex property structural relationships. However, accurately predicting the prime mechanical properties, including ultimate tensile strength (UTS), yield strength (YS), and hardness value (HV), remains a challenging task due to the complex and non-linear relationships among process …

Analysis Of Traffic Crash Data In Kentucky 2020-2024, Paul Ross, Eric Green, Christopher Blackden, Christopher Van Dyke

Kentucky Transportation Center Research Report

No abstract provided.

Navigating Barriers: Examining Social Equality Through Transportation Disadvantages And Perceived Healthcare Accessibility In South Carolina, Yihong Ning, Songyuan Deng, Yuche Chen

Faculty Publications

Transportation inequities significantly contribute to health disparities, particularly in socially and geographically diverse regions like South Carolina. Prior research predominantly relied on objective measurements, like travel time or distance, to assess healthcare accessibility. However, limited attention has been given to the subjective perceptions of transportation barriers. To address this gap, we designed a comprehensive survey consisting of 61 questions (including 32 five-point Likert-scale items) capturing demographic, socioeconomic, and travel behavior data from a diverse sample of South Carolina residents. Urban and rural contexts were distinguished using county categorization and built environment measures. Exploratory Factor Analysis (EFA) was employed to identify …

Case Article—Optimizing Transportation And Equity In A District Zoning Problem For Orville Public Schools, Kelly M. Sullivan, Ashlea Bennett Milburn

Industrial Engineering Faculty Publications and Presentations

“Optimizing transportation and equity in a district zoning problem for ORville public schools” is a case developed to expose students to an optimization decision problem with ethical considerations incorporated. Specifically, students are asked to solve a school district zoning problem in which all residential addresses in a school district must be assigned to middle schools having capacity limits on the numbers of students that they can accommodate.

Repair/Preservation Of Concrete Compression Members In Bridges Using Ultra-High-Performance Concrete (Uhpc), Mohammed Hedia, George Morcous

Nebraska Department of Transportation: Research Reports

As of 2024, approximately 36% of bridges across the United States require repair or replacement, with 7% classified as structurally deficient. The estimated cost to address these deficiencies exceeds $260 billion. In recent years, Ultra-High-Performance Concrete (UHPC) has emerged as a repair material for infrastructure preservation, drawing increased attention from transportation agencies and researchers worldwide. The Federal Highway Administration (FHWA) has notably advocated for UHPC’s adoption in bridge preservation initiatives, recognizing its exceptional mechanical properties and durability.

This report presents a comprehensive literature review on the application of UHPC as a repair and strengthening material for bridge compression members. While …

Adversaguard: A Distributed Data-Poisoning Benchmark For Parallel Ai, Yulia Kumar, Solomon Thomas, Dejaun Gayle, J. Jenny Li, Dov Kruger

Center for Cybersecurity

As organizations scale model training across large clusters and clouds, data poisoning has emerged as a significant practical threat. Most existing research focuses on data poisoning in single-node environments. Far fewer studies have compared the effectiveness of attacks across parallel training strategies, where factors like gradient aggregation and distributed memory ceilings fundamentally alter attack detectability and its impacts. To address this gap, we introduce AdversaGuard, a reproducible benchmark and accompanying application designed specifically for distributed settings to protect AI training pipelines. This research makes the following key contributions: (1) A comprehensive Distributed Data Poisoning (DDP) benchmark spanning seven distributed systems …

Improved Triboelectric Nanogenerator By As-Prepared Lithium Niobate For Energy Harvesting And Sensing Applications, Jahid Inam Chowdhury, Md. Wasikur Rahman, Md Arafat Hossain, Nicholas Dimakis, Mohammed Jasim Uddin

School of Integrative Biological & Chemical Sciences Faculty Publications

Triboelectric nanogenerators (TENGs) have garnered significant research interest due to their ability to harvest mechanical energy efficiently. In this study, we report a TENG composed of polydimethylsiloxane (PDMS) and polyvinyl alcohol (PVA) as triboelectric layers. To enhance charge generation in the PDMS composite polymer, we incorporated lithium niobate (LiNbO3) nanoparticles, leveraging their piezoelectric and ferroelectric properties. The LiNbO3 nanoparticles were synthesized using a solid-state reaction method, resulting in two distinct phases: triclinic LiNbO3 and monoclinic LiNb3O8. Various weight percentages of LiNbO3 and LiNb3O8 nanoparticles were added to the PDMS matrix to optimize power generation. The maximum open-circuit voltage (VOC) and …

Shared Power, Shared Future: Navigating Technology, Ownership, And Equity In Community Battery Storage, Bassam Al-Hanahi, Nishadi Mudiyanselage, Asma Aziz

Research outputs 2022 to 2026

Community Battery Storage Systems (CBS) are gaining traction as a shared energy solution to support the growing integration of rooftop solar and electric vehicles. Operating at the neighborhood scale, CBS offers benefits such as grid flexibility, enhanced self-consumption, and cost optimization. This review provides a multidimensional synthesis of CBS developments, examining technical design, ownership structures, regulatory conditions, and community engagement. By analyzing pilot projects and demonstration trials, the paper identifies recurring challenges – including inconsistent tariff structures, limited financial viability, and unclear market roles – that constrain scalability. It also highlights emerging strategies such as Local Use of Service (LUoS) …

Wind Turbine Rotor Design Using High-Fidelity Aerostructural Optimization, Marco Mangano, Sicheng He, Yingqian Liao, Denis-Gabriel Caprace, Andrew Ning, Joaquim R. R. A. Martins

Faculty Publications

Large wind turbines yield more energy but demand careful aeroelastic blade design. Coupled multiphysics design strategies can reduce wind energy costs exploiting fluid-structure interactions. This work presents the first high-fidelity aerostructural optimization study of a large wind turbine rotor.We use blade-resolved fluid dynamics and structural solvers in a monolithic gradient-based optimization framework to explore steady-state torque and blade mass trade-offs. The coupled-adjoint approach computes gradients efficiently, enabling the optimization of over 100 structural and geometric parameters simultaneously. Our optimization study modifies a DTU 10 MW benchmark with a simplified structure and isotropic material properties. The tightly coupled optimizations increase torque …

Hybrid Forecasting Of University Electricity Demand Using Time Series And Deep Learning, Minsoo Baek, Youngguk Seo

Faculty Articles

University buildings are energy-intensive and operate on complex schedules, making electricity demand forecasting particularly challenging. This study develops and evaluates monthly forecasting models for a public university campus in Georgia using six years of data (January 2019–December 2024) that integrate weather variables and academic calendar indicators. Three modeling approaches are compared: Seasonal Autoregressive Integrated Moving Average (SARIMA), SARIMA with exogenous variables (SARIMAX), and a hybrid SARIMAX–Long Short-Term Memory (LSTM) model. Feature selection methods, correlation analysis, Granger causality, Random Forest importance, Recursive Feature Elimination (RFE), and Least Absolute Shrinkage and Selection Operator (LASSO) regression, were applied to optimize input relevance. The …

Lung Injury Risk Curves From Behind Armor Blunt Trauma Using A Live Swine Model, Narayan Yoganandan, Lewis Somberg, Danielle Wilson, Alok Shah, Jared Michael Koser, Brian D. Stemper, Valeta Carol Chancey, Joseph Mcentire

Biomedical Engineering Faculty Research and Publications

Introduction

From structural, anatomical, and functional perspectives, components of the thoracoabdominal region are heterogeneous and physiologically and functionally different. Although their tolerances to injury are expected to be different, the current Roma Plastilina No. 1 clay penetration criterion for behind armor blunt trauma (BABT) is not specific to the body region. It is important to develop regional injury criteria to ensure its specificity. The objective of the study is to conduct impact tests on the lung region using a live animal model and develop injury risk curves using velocity and deflection metrics via parametric survival analysis.

Materials and Methods

Live …

The Floodnet Community Engagement Guide, Véronëque Ignace, Sofia Mariyamis, Kendra Krueger, Polly Pierone, Hayley Elszasz, Hannah Eisler Burnett

The Science and Resilience Institute at Jamaica Bay, SRIJB

"At the Intersection of Science, Policy, and Community: The FloodNet NYC Community Engagement Strategy” is a public-facing community engagement guide that documents the strategies, tools, and lessons developed through FloodNet NYC, a cross-sector partnership among researchers at NYU and CUNY and New York City agencies. Designed as a practical resource, this guide shares our approach to community engagement and dissemination so that researchers, practitioners, community organizations, and public agencies can adapt these methods to their own urban climate science projects and other community-centered efforts that address climate challenges.

Grounded in community-based participatory research (CBPR) principles, the guide presents community engagement …