Digital Commons Network^™

Polar Reconnaissance & Imagining Survey (Polaris), Max Brooks, Zion Carpenter, Isabel La Coss

Student Research Symposium (SRS)

In preparation for the permanent human presence on the lunar south pole as part of the ARTEMIS Accords, planned human excursions will conduct science on regions of interest to locate resources for sustained habitation. The objective of the Polar Reconnaissance & Imaging Survey simulation is to take a predetermined region sized image of a planned astronaut excursion site to identify terrain features and threats. This shall be a satellite mission control (MCC) simulation with four Earth-based satellite console operators, and one moon-based EVA encompassing.

Injuries And Accidents On Airport Ramps, Kavya Banarjee

Student Research Symposium (SRS)

Media coverage of aircraft incidents/accidents often triggers public scrutiny and heightened anxiety. But behind that are injuries and fatalities caused on the airport ramps; incidents like these are rarely covered by the media but pose just as much of a safety concern as an aircraft incident. This paper aims to inform aviation industry professionals and airline executives about the causes of incidents and accidents on the airport ramp; it also covers the importance of finding and implementing solutions for safety. The methodology for this paper focuses on research and analysis of publicly available information. Relevant data and perspectives were gathered …

Crew Resource Management Analyzed In Guyana Military Accident, Kaylee Lall

Student Research Symposium (SRS)

"In December 2023, a Guyana Defence Force Bell 412EP helicopter crashed in mountainous jungle terrain near the Venezuela border, killing five of the seven personnel on board. Preliminary investigation findings indicate the probable cause of the accident was pilot error, rather than mechanical failure. Due to deteriorating weather conditions, the crew deviated from the standard route and elected to fly under visual flight rules (VFR) along the Mazaruni River. The combination of limited visibility, rising mountainous terrain, and potential spatial disorientation likely contributed to this controlled flight into terrain.

This case study applies the SHELL model to analyze the interactions …

Growing Plants On The Moon: How Mizuna Roots And Organic Matter Spark Microbial Metabolism, Stefani Capasso Villanueva, Nupur Kulkarni

Student Research Symposium (SRS)

Establishing functional plant–microbe systems in extraterrestrial substrates is critical for sustainable lunar agriculture. We tested whether manure amendment and Mizuna mustard (Brassica rapa var. japonica) rhizosphere activity enhance the metabolic potential of a lunar regolith simulant (LHS-1). Plants were grown in four treatments: Unplanted manure-amended regolith (LRM), planted manure-amended regolith (LRMP), planted unamended regolith (LRP), and soil controls. Plant height and community-level physiological profiles (CLPP; Biolog EcoPlates) were measured to assess growth and metabolic diversity. Mizuna grew best in soil, with modest improvements in LRMP compared to LRP, though regolith treatment differences were not statistically significant. CLPP revealed the highest …

Building And Sustaining Chosen Family Amongst Low-Income First-Generation Engineers, Justin C. Major

First-Generation Symposium

Support is integral for low-income first-generation student success in and out of engineering, particularly because of the role support plays in building belonging. Students receive support from many individuals including their traditional and chosen families. While traditional family are those family “assigned at birth,” chosen family are those family you pick and choose, inclusive of teachers, friends, and others. Our research group’s (ASPIRE) extensive work on the topic has documented how chosen family come to be and why they are important for low-income first-generation success. Amongst many components, we have found that chosen family are more trustable given their authenticity …

Dynamic Soliton Solutions And Stability Analysis Of The (2+1)-Dimensional Wazwaz Kaur Boussinesq Equation Using An Efficient Method, Nivan Mohamed Elsonbaty, Hamdy Mohamed Ahmed, Niveen Mohamed Badra, Wafaa B. Rabie

Basic Science Engineering

This paper presents the first application of the Modified Extended Direct Algebraic (MEDA) method to the (2+1)-dimensional Wazwaz-Kaur-Boussinesq equation, a model governing wave dynamics in shallow waters. The approach successfully uncovers previously unreported classes of exact solutions, including combo dark–singular solitons and Jacobi elliptic function solutions. The spectrum of obtained solutions–which also encompasses bright, dark, and singular solitons, as well as hyperbolic, periodic, exponential, and rational functions–reveals rich and complex soliton dynamics. A comprehensive stability analysis confirms the robustness of these solutions under perturbation. These results significantly advance the understanding of wave propagation in nonlinear systems, providing valuable insights for …

Resilient Grid Architectures For High Renewable Penetration: Electrical Engineering Strategies For 2030 And Beyond, Ehab Bayoumi

Mechanical Engineering

The global shift toward decarbonized power systems is driving unprecedented penetration of variable renewable energy sources, especially wind and solar PV. Legacy grid architectures, built around centralized, dispatchable synchronous generation, are ill-suited to manage the bidirectional power flows, reduced inertia, and new stability constraints introduced by inverter-based resources. Existing research offers deep but fragmented insights into individual elements of this transition, such as advanced power electronics, microgrids, or market design, but rarely integrates them into a coherent architectural vision for resilient, high-renewable grids. This review closes that gap by synthesizing technical, architectural, and institutional perspectives into a unified framework for …

Uav-Deployable Open-Source Sensor Nodes For Spatial And Temporal In Situ Water Quality Monitoring And Mapping, Matthew Burnett, Mohamed Abdelwahab, Joud N. Satme, Austin Downey, Gabriel Barahona Smith, Antonio Fonce, Jasim Imran

Faculty Publications

Cost efficient, spatially resolved water quality monitoring is essential for managing pollution and protecting aquatic ecosystems. This study presents a low-cost (approximately USD 200), open-source, unmanned aerial vehicle (UAV)-deployable in situ sensor node for real-time assessment of surface-water conditions. The system integrates sensors for pH, turbidity, temperature, and total dissolved solids (TDSs), with onboard data logging and real-time clock (RTC) synchronization. Bench validation of the sensor package yielded mean absolute percentage errors of 1.34% for pH, 5.23% for TDS, and 0.81% for temperature, and the device operated continuously for 42 h. Field deployment demonstrated its ability to resolve spatial gradients, …

An Autonomous Robotic System For Object Retrieval And Delivery: Enhancing Independence For Users Living With Disability And Older Adults, Jincheng Li, Chenghao Lin, Amna Mazen, Youssef A. Bazzi

Michigan Tech Publications

As the global population ages, there is a growing need for assistive technologies to help older adults maintain their independence. This work presents a cost-effective autonomous socially assistive robot designed for object retrieval and delivery, enhancing accessibility in home environments. The system is built on the Robot Operating System (ROS) framework and integrates three key components: the Pioneer P3-DX mobile robot for autonomous navigation, the ReactorX-200 robotic arm for pick-and-place operations, and the Kinect v2 RGB-D camera for object detection and localization. Users interact with the robot through natural language processing by issuing voice commands to retrieve various objects. Microsoft …

Structural And Mechanical Properties Facilitate Shock Wave Damping By Helmet-Like Orbital Hoods In Snapping Shrimp, Mia Kazel, Rebekah E. Cammack, Alexandra C.N. Kingston, Ahmed A. Alshareef, Tarek Shazly, Daniel Isaac Speiser

Faculty Publications

Snapping shrimp damp the shock waves they produce and use as weapons with a helmet-like structure termed the orbital hood. Here, we ask how structural and material properties contribute to shock wave damping by orbital hoods in Alpheus heterochaelis. Using tensile mechanical testing, we find orbital hoods are approximately half as stiff as carapace and have twice the capacity for viscous energy dissipation. Microstructural features probably contribute to tissue-specific mechanical properties: the endocuticles of orbital hoods have almost twice as many lamellae as those of carapaces despite being half as thick, suggesting a mechanism for enhanced material mobility underlying …

Electromagnetic Simulations For Vulnerable Road User Safety In 5g/6g Wireless Systems, Colin Mcnerny

Theses and Dissertations

Protecting vulnerable road users is imperative. As 5G wireless technology matures and 6G standards are established, new operational technology emerges to reduce traffic accidents. There is widespread evidence to support the need for pedestrian awareness in modern traffic ecosystems as a significant number of vulnerable road users are injured or killed every year due to observable traffic failures. Computational electromagnetic (CEM) solvers are used to model, simulate, and analyze the performance of antennas deployed to meet this challenge. Validation studies using the Altair FEKO CEM solver demonstrate scenarios where vulnerable road users are at risk. The simulation data in this …

Artificial Intelligence And Additive Manufacturing As A Coupled Design System: Rethinking Inference, Manufacturability, And Design Education, Charul Chadha, Garth Crosby, Sabit Ekin, Mohamed Gharib, Eman Hammad, Congrui Jin, Ali Ahmad Malik, Noemi Mendoza Diaz, Calahan Mollan, Monsuru Ramoni

Manufacturing & Industrial Engineering Faculty Publications

Artificial intelligence (AI) is becoming deeply integrated into additive manufacturing (AM) workflows, reshaping how designers approach geometry, materials, and process constraints. AI holds significant potential by accelerating design exploration, revealing complex patterns in AM behavior, and supporting earlier assessment of manufacturability. At the same time, it introduces new risks related to model transparency, data quality, physical validity, and the potential for overreliance by students and practitioners. This perspective examines these issues through four guiding questions that address the role of AI in AM-enabled design, the gaps that limit or enable AI contribution, the implications for engineering education, and the responsibilities …

Retraction Notice: Deep Learning-Based Beamforming Optimization For Reconfigurable Intelligent Surface-Assisted Wireless Communication Systems, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Jassim, Mohammed Firas; Mohammed, Alhamzah Taher; and Abdullah, Osamah (2025) ``Deep Learning-Based Beamforming Optimization for Reconfigurable Intelligent Surface-Assisted Wireless Communication Systems,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 1, Article 7. DOI: https://doi.org/10.52866/2788-7421.1233.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss1/7.

Green Technology: A Systematic Review Of Ai And Iot Solutions For A Sustainable Future, Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy, Mahmoud Badawy

Mansoura Engineering Journal

Green technology offers a solution to the pressing environmental crisis. It can change the structure and generation of waste so as not to harm the earth, and people can become environmentally friendly. To address complex environmental challenges like climate change and pollution, innovative Artificial Intelligence (A.I.) and Internet of Things (IoT) solutions are essential. These technologies can help optimize resource use, reduce waste, and promote sustainable development. However, it's crucial to balance economic growth, social equity, and environmental protection when implementing green technologies. This survey paper systematically examines the landscape of Green Technology, focusing on its pivotal components: Measures of …

Silent Sabotage: Internal State Triggered Backdoor Attacks On Llm-Powered Robotic Systems, Doniyorkhon Obidov, Shivayogi Akki, Tan Chen, Kaichen Yang

Michigan Tech Publications

The integration of Large Language Models (LLMs) into robotic control systems is enabling a new generation of autonomous agents capable of complex reasoning and planning. While this paradigm shift accelerates progress, it also introduces novel security risks that remain largely unexplored. Current research into LLM backdoors has focused on attacks triggered by external stimuli, such as specific words, visual objects, or environmental states. These attacks, while potent, overlook a more insidious class of vulnerability where the trigger is internal to the agent’s own operational logic. This paper presents the first comprehensive study of history-based backdoor attacks on LLM-powered robotic systems. …

Construction Project Performance Research: A Bibliometric, Scientometric, And Qualitative Review (1989–2023), Abdelnaser Abdelhameed, Mohamed S. Yamany, Ahmed Abdelaty, Emad Elbeltagi

Faculty Publications

Despite the significant increase in publications on construction project performance (CPP), there is a deficiency of research that rigorously assesses and synthesizes previous studies to delineate the field’s development, themes, and research gaps. This article employs quantitative and qualitative methodologies to critically evaluate studies on CPP published over the last three decades and indexed in the Scopus database. The quantitative approach includes bibliometric searches and scientometric analyses to assess the extent of research interest and achievements. The qualitative methodology aims to conduct thorough content analysis to classify existing material based on prevalent themes. The results demonstrate an exponential growth of …

Biologically-Inspired Multiscale Neuromorphic Architecture, Christian O'Reilly, Ramtin Zand

Publications

This white paper proposes a biologically-inspired multiscale neuromorphic architecture that bridges key gaps between artificial neural networks (ANNs), spiking neural networks (SNNs), and biological neural networks (BNNs). While SNNs offer promising energy efficiency, their broader adoption remains limited by suboptimal performance and the need for novel learning paradigms. To address these challenges, the proposed framework integrates structural and functional principles observed in the brain, including hierarchical organization, sparse and modular connectivity, predictive coding, and diverse neuronal dynamics.

The architecture operates across micro-, meso-, and macro-scales, incorporating neuron-level diversity (e.g., excitatory/inhibitory and principal/support cells), canonical microcircuits (CMCs), and large-scale hierarchical organization. …

Kytc Digital Project Delivery Phase 1 Summary, Rachel Catchings

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) launched its Digital Project Delivery (DPD) Initiative in September 2020 with the goal of expanding the use of digitally formatted plan and project information throughout the transportation asset life cycle, from project delivery through asset management. KYTC retained Kentucky Transportation Center (KTC) staff with expertise in construction and design to facilitate DPD implementation. This document summarizes DPD-related efforts undertaken by the Cabinet over the past five years. Key activities completed during this period include a survey of Kentucky Association of Highway Contractors members to document their perspectives on design file usage and preferences, coordinating multiple …

Afit By The Numbers, Fy25, Air Force Institute Of Technology

AFIT Documents

AFIT’s mission is to educate defense professionals to innovatively accomplish the deterrence and warfighting missions of the USAF and USSF. AFIT’s vision of leading defense-focused education, research and consultation to accelerate military superiority across all domains is accomplished through operationally relevant advanced academic education, research, and professional continuing education.

Kentucky Cdl Adjudication Pilot And Compliance Needs Study, Jeeyen Koo, Andrew Martin, Jennifer Walton

Kentucky Transportation Center Research Report

This report examines trends in how Kentucky District Courts have adjudicated charges related to commercial driver’s license (CDL) and commercial motor vehicles (CMVs). Using court data, researchers evaluated historical patterns in charge filing volumes as well as conviction, dismissal, amendment, and diversion rates. Between 2002 and 2024, conviction rates declined and dismissals increased. Convictions peaked in the mid-70% range in the early 2000s, but fell to the mid-50% range by 2024. Speeding and other serious traffic violations — many of which are advanceable offenses — were dismissed or amended at rates that could have substantively affected the integrity of CDL …

Coe Annual Technical Review 2025, Jianshun Zhang, Bing Dong

SyracuseCoE

No abstract provided.

Optical Fiber Sensors Using Vernier Effect In Cascaded Fiber Interferometers, Zhouchen Wang

Dissertations

The optical Vernier effect has emerged as a powerful tool to enhance the sensitivity of optical fiber interferometer-based sensors, opening new opportunities for developing highly sensitive fiber sensing systems. Optical fiber interferometric sensors based on the Vernier effect are widely used for various applications due to their ultra-compact size, high sensitivity, immunity to electromagnetic interference, electrical isolation, resistance to harsh environments, flexibility, multiplexing capability, and remote operation. The aim of this doctoral thesis was to gain a deeper fundamental understanding of the Vernier effect in optical fiber structures and to develop and investigate a series of novel Vernier effect optical …

Numerical Investigation Of A Dual-Mode Shape Memory Alloy Stent Enabling Secondary Expansion Via Focused Ultrasound: A Potential Strategy For Correcting In-Stent Restenosis, Stephen Asare, Lucinda Duncan, Josiah Owusu-Danquah, Brian L. Davis

Civil and Environmental Engineering Faculty Publications

Coronary stent implantation is an invasive procedure performed to correct atherosclerosis. The aftermath of this procedure is identified with neointimal hyperplasia, which contributes to in-stent restenosis (ISR), and thus remains a significant clinical challenge. This study introduces a novel, noninvasive conceptual approach for addressing ISR through the thermal activation of shape memory alloy (SMA) stent using focused ultrasound (FU) in a controlled manner to restore luminal patency. COMSOL Multiphysics and ABAQUS finite element software were employed to perform the numerical modeling to simulate the thermal and mechanical responses of the SMA stent integrated into the arterial wall. After 15 s …

The Impact Of A Structured Training Program On The Depth Perception Of Ab Initio Drone Pilots, John Murray, Steven Richardson, Keith Joiner, Graham Wild

Research outputs 2022 to 2026

Highlights: What are the main findings? First empirical assessment of depth-perception improvement from an official RPAS training program. Demonstrates measurable perceptual-skill gains despite no explicit syllabus objective for depth perception. What are the implications of the main findings? Conducted in authentic operational settings under regulated conditions, ensuring strong external validity. Establishes a validated baseline for future comparative and longitudinal studies on perceptual training effectiveness. Flying remotely requires accurate perception of the environment to ensure safe operation. While remotely piloted aircraft (RPA) bring unique opportunities, they also present new challenges for the pilot, including exercising accurate depth perception. The impact of …

Humanity Is Evolving Its Consciousness: The Role Of Archetypal Energies As Guides During An Unfolding Weeding Out And Alignment Process, Carroy U. Ferguson

Psychology Faculty Publication Series

Humanity is evolving its consciousness at individual and collective levels.  Given these seemingly tumultuous times, as of this writing (January 2026), to make such a statement may sound like a strange thing to say.  However, I suggest that if you are alive today and if you are reading these words, these are the very times for which you were born—to assist Humanity as it evolves its consciousness with your unique gifts, whatever they may be.  That is, this period of our individual and collective human being-ness may be characterized as an unfolding period of weeding out and alignment with the …

Assessment Of Winter Maintenance Performance Objectives Using Maintenance Decision Support System, Curtis L. Walker, Mark R. Anderson, Aemal Khattak, Thomas Kauzlarich, Abdul Farhan

Nebraska Department of Transportation: Research Reports

It is important for transportation agencies to assess their winter maintenance operations performance to identify areas for improvement and/or resource investment to maintain optimal levels of service, mobility, and safety. This study explores nine winter snowstorms in Nebraska during the 2023-2024 winter season across 20 road segments, 12 of which were along the Interstate-80 corridor. Datasets explored include meteorological information, traffic mobility insights, winter maintenance operations activities, and road conditions before, during, and after the periods of accumulating snowfall. Statistical analyses explored correlations and quantitative relationships among these datasets, while visual dashboards were developed to promote more qualitative considerations of …

A Bim-Based Flexible Flow Shop Framework For Scheduling Linear Infrastructure Projects, Mahmoud Mohamed Elbassuony

Theses and Dissertations

Repetitive, multi-stage linear projects, such as pipelines or highways, are primarily impacted by spatial and resource constraints during their execution. Cost overruns, delays, and inefficient resource allocation make construction management for such projects complex. Traditional scheduling techniques, such as Critical Path Method (CPM) and Line of Balance (LOB), are less efficient for scheduling dynamic, complex, and multi-objective projects. There are more advanced scheduling methods that can be applied as a decision-making process to determine the optimal timing of activities and achieve other objectives. One of those techniques is the Flexible Flow Shop model (FFS), which can be effectively applied to …

Digital Replica For Trustworthy Cooperative Autonomous Vehicles, Hady Farahat

Theses and Dissertations

Trust in an automated system can be defined as confidence in a vehicle's reliability, safety, and predictability, which is essential for the acceptance and widespread adoption of fully autonomous vehicles (FAVs); without it, users might disengage from using autonomous vehicles or reject the technology altogether. Most of the previous research has focused on trust from an ego vehicle perspective.

However, next-generation vehicles are becoming more autonomous and connected, relying on vehicle-to-vehicle technology and vehicle-to-infrastructure technology with no human intervention. Hence, trust becomes more complex and fragile as multiple agents interact with each other, and it might become harder to establish …

Harnessing Ml And Iiot For Traceability In Continuous Production Systems: A Conceptual Framework, Kholoud M. Abdelaal

Theses and Dissertations

In the era of rapid technological advancement, the manufacturing sector faces increasing pressure to leverage emerging technologies to enhance operational efficiency and minimize waste. In this context, traceability plays a pivotal role, as it provides complete visibility of processes and products throughout manufacturing systems, enabling them to identify areas for improvement and take corrective actions accordingly. Additionally, traceability ensures compliance, supports product recalls, provides a clear understanding of the system’s performance, and enables fact-driven decision-making in multiple aspects of the manufacturing system. Although the broad spectrum of traceability applications in batch production-based plants, traceability remains challenging to achieve in continuous …

Copper Metal Organic Framework-Based Nanomaterial For Non-Enzymatic Glucose Electrochemical Sensor, Sameha Mohamed Sadek

Theses and Dissertations

This thesis examines the development of non-enzymatic glucose sensors by engineering advanced electrode materials based on metal-organic frameworks (MOFs). Conventional enzymatic glucose sensors, although widely used, suffer from inherent limitations, including poor long-term stability, narrow operating conditions, and sensitivity to environmental factors, due to their reliance on biological enzymes. Non-enzymatic sensors offer a more robust alternative by enabling direct electrochemical oxidation of glucose on engineered electrode surfaces. MOFs represent a highly tunable class of hybrid materials with structural and chemical features that are ideal for sensor applications, including a high surface area, tailored porosity, and excellent thermal and chemical stability. …