Grp-165-217 Evaluation Of Multi-Platform Simulation Environments For Diverse Robotic Manipulation Tasks, Zhiguo Liu

C-Day Computing Showcase

Robotic development often requires transitioning between different simulation environments to meet specific task requirements. This project presents a comparative evaluation of four major simulation platforms—Gazebo, MuJoCo, CoppeliaSim, and Isaac Sim—through the successful reproduction of diverse manipulation tasks. By implementing system integration, dual-arm coordination, sequential logic, and reinforcement learning across these engines, this study identifies the functional strengths and practical engineering constraints of each environment. The results provide a qualitative guide for selecting simulation tools based on task-specific needs, such as middleware compatibility versus physical fidelity.

Uc-097-186 Nudox - Compiler Based Information Retrieval, Mikita Slabysh

C-Day Computing Showcase

Nudox is a language-agnostic, version-aware documentation and search platform backed by compiler-level analysis. By lowering source code to intermediate representations, Nudox extracts structural metadata, like function signatures, types, and modules independent of the source language. At the core of the platform is a custom search engine built around versioned knowledge: queries resolve to graph nodes and expand outward along structural edges using semantic heuristics, surfacing contextually relevant symbols rather than flat text matches. The result is a canonical, automatically generated source of truth that tracks how a codebase evolves across commits.

Uc-115-161 Wayward Stray: Selix, Arly Tinoco, Tyler Ercole, Ivy Stansel, Austin Lothman, Jeremi Charland-Martin

C-Day Computing Showcase

Wayward Stray:Selix is a 3rd person platformer which places importance on exploration and discovery. Players will take the role of Selix as they explore an arid desert, fighting off enemies and discovering items hidden around the map, which reveal more about the game world and its characters. Selix, a young dragon, is exiled from the only home he’s known, forced into a strange land in search of a new place to call his own. Along the way, he finds a companion, a small dove that aids and guides his way. Exploring these uncharted areas, Selix discovers there’s more to the …

Uc-123-140 P15-T2 Boating Safety Game Us Army Corps | Boating Mvp, Maryam Hamza, Saleh Hamza, Will Vanwinkle, Trevor Caffrey, Tobi Akinsunmi

C-Day Computing Showcase

This project is an interactive 2D educational boating safety game developed in Unity to teach students essential water navigation and life jacket safety practices in an engaging and immersive format. Designed in collaboration with a real-world sponsor, the game simulates a dynamic boating environment where players navigate obstacles, identify hazards, and make safety decisions under time constraints. The experience integrates instructional modules, guided character narration, and a final quiz phase that reinforces knowledge through immediate feedback, scoring, and achievement-based rewards. Players learn critical concepts such as proper life jacket fit, safe boating procedures, hazard identification, and shallow water awareness. The …

Uc-128-145 Ksu Esports Discord Server Bot​, Austin Gammill, Foster Thomas, Lam Truong, Jeffrey Olubajo, Ismail Ahmed

C-Day Computing Showcase

The KSU Esports program has requested us to develop further upon the Discord Server Bot that they are currently using. This prior implementation was developed by Capstone students last year. Our project’s goal was to build upon their work, polish existing features, commands, UI/UX, and fix known bugs. We have worked on improving the bot’s matchmaking algorithms, tournament seeding logic, API integration, database persistence layer, stability, and statistics tracking. Furthermore, we have developed the UI/UX to be more user-friendly, added support for additional games, and overhauled the bot’s database logic.

Uc-138-166 The Allies Connect Platform: Improving Access To Community Resources Through Technology​ ​, Sarah Holland, Neha Anand, Aldrick Andoh, Yacine Diop, Alex Rogers

C-Day Computing Showcase

Finding help shouldn’t be difficult, but for many people, it is. Important information about food, shelter, and local support is often scattered across different websites, social media pages, and documents, making it hard to find what’s needed, especially in urgent situations. The Allies Connect platform was created to bring that information into one place. It is a centralized, mobile-friendly platform that allows users to: • Search for resources • Register for events • Connect with nonprofits At the same time, the platform also provides organizations with simple tools to keep their information accurate and up to date. By focusing on …

Uc-143-178 Georgia Laws Of Life Crm Implemenetation, Nicholas Sternon, Josh Flores, Jessica Scales, Opurbo Bhuiyan, Shiv Patel

C-Day Computing Showcase

This project focuses on implementing a Customer Relationship Management (CRM) system for Georgia Laws of Life using the Little Green Light (LGL) platform. The organization previously relied on spreadsheets, which caused issues such as duplicate records, inefficient reporting, and difficulty managing relationships. To address this, the team analyzed existing workflows and developed a structured data model. The system was configured, and sample data including constituents, donations, schools, and contracts was successfully imported to validate the design. The results show that the CRM system improves data organization, enhances relationship tracking, and provides a more efficient and scalable solution for managing organizational …

Uc-162-194 Smart Soil Analyzer, Samuel Florez Garcia, Edward Johnson, Aaron Gamino, Tassha Burton, Wyatt Kinney

C-Day Computing Showcase

The Smart Soil Analyzer is a machine learning-based application designed to maximize agricultural efficiency and sustainability. Our team developed a predictive system using a K-Nearest Neighbors (KNN) classifier trained on a comprehensive crop recommendation dataset. The tool allows users to input key environmental and soil metrics, including Nitrogen (N), Phosphorus (P), Potassium (K), temperature, humidity, pH levels, and rainfall. By processing these variables, the model accurately predicts the most suitable crop for the specific land conditions. This solution provides farmers with data-driven insights to optimize yields, reduce fertilizer waste, and combat soil degradation through precise crop matching.

Uc-164-215 Hootnest: Ai-Powered Ksu Student Assistant, Tabitha Washington, Aspen Steele

C-Day Computing Showcase

HootNest helps prospective Kennesaw State students get clear, reliable answers about college life. It is designed for students who may not have easy access to counselors, mentors, or campus visits. The chatbot allows students to ask the chatbot anything they need to know.

Ur-133-165 Quantum Machine Learning For Science And Engineering, Barclay Barnes, Anna Zharikov, Meriem Hamzi

C-Day Computing Showcase

Quantum machine learning (QML) has emerged as a promising method for overcoming the computational limitations of classical machine learning when analyzing large and complex data sets. This project investigates the application of QML algorithms to real-world science and engineering problems, with a focus on civil and environmental engineering datasets. We develop and evaluate a Python-based system, implemented in Google Colab, that integrates multiple quantum computing frameworks, including PennyLane, TensorFlow Quantum, and Qiskit, to implement and compare several QML models against their classical counterparts. The proposed system explores a range of algorithms such as Quantum Neural Networks, Quantum Support Vector Machines, …

Ur-171-118 Aidflow: A Predictive Financial Aid Transparency System For Students, Chaathurya Nakkana

C-Day Computing Showcase

Students frequently experience delays and confusion regarding financial aid refunds due to unclear system statuses and lack of communication. This project introduces AidFlow, a predictive financial aid transparency system that translates complex financial data into clear explanations, predicts refund timelines, and provides actionable guidance. A rule-based model and system pipeline were developed to simulate real-world scenarios and improve student understanding and decision-making.

Ex-116-209 The Understudy – A 2.5d Turn-Based Story Game​, Ara Randolph, Rin Egl, Cayden Herrington, Jonah Swerdlow, Carter Griffin, Amaya Cruz

C-Day Computing Showcase

“The Understudy” is a whimsy-filled 2.5D turn-based theatrical adventure where you play as the last-minute understudy, who has been suddenly thrust into the spotlight after the lead mysteriously vanishes right before showtime. Armed with nothing but masks (comedic, dramatic, and tragic) and a script you definitely didn’t not rehearse enough, you fight your way through a cast of dramatic acting troupe members, ranging from a painfully shy tree to a snarky jester ex to a pompous king who’s very sure you don’t belong on his stage. Swap masks to change your combat style, solve dialogue puzzles, and prove that even …

Gc-119-134 Pipeline For Vr Embodied Lecture Authoring And Ai Gesture Refinement, Rishi Kiran Aiyatham Prabakar

C-Day Computing Showcase

While Virtual Reality (VR) offers immersive educational opportunities, its pedagogical success relies heavily on a genuine sense of "instructor presence". This project presents a hybrid pipeline that automatically refines presenter 3D avatar gestures using semantic AI. Our non-VR recording system captures high-fidelity facial tracking and MediaPipe for upper-body pose estimation via standard RGB video. For emotion recognition, a local Large Language Model analyzes audio transcripts to generate a timestamped emphasis track. This semantic engine, intelligently exaggerating gestures during critical lecture moments. The captured motion and AI-enhanced gestures are synthesized and replayed on a virtual lecturer within an VR environment for …

Gc-126-148 Allies Connect- Georgia's Nonprofit And Volunteer Coordination Platform, Molly Calhoun, Takeshia Banks, David Castro, Ryan Hanrahan, Tarik Davis

C-Day Computing Showcase

Georgia's nonprofit services face an issue of discoverability. While many nonprofits have the resources to help their community members succeed, they have trouble actually connecting to members of the community that need their support. Connecting with these resources is challenging for community members because their avenues of communication are spread across the internet. Some have their own websites, some have a Facebook page where they post events, some rely on word of mouth and fliers, and others rely on phone chains to keep their community members informed. This means that community members seeking support need to be able to access …

Gc-130-160 C-Day Explorer: A Domain-Aware Platform For Discovering And Extending Ksu Student Projects, Rohan Jonnalagadda, Sanketh Chapaneri

C-Day Computing Showcase

C-Day showcases some of the strongest computing projects at KSU, but once each event ends, past work becomes scattered across semester pages, posters, PDFs, and videos, making it difficult to see long-term trends or build on prior ideas. C-Day Explorer addresses this gap with a centralized, domain-aware web platform that aggregates project records from 21 semesters of C-Day archives, KSU Digital Commons, winner pages, and YouTube presentation videos. The system organizes 1,286 projects into 11 computing domains with high abstract coverage, poster and video links, and similarity-based connections that help users quickly find related work and promising directions for extension. …

Grm-083-218 Wise: Whitebox Importance-Based Subnetwork Extraction And The Privacy-Preserving Properties Of Model Compression, Mason Pederson

C-Day Computing Showcase

WISE (Whitebox Importance-based Subnetwork Extraction) is a structured compression algorithm which extracts task-specific subnetworks by instrumenting a pretrained networks with learned gates on transformer components and optimizing on task loss and L0 sparsity regularization. WISE maintains high task performance at high sparsity levels (81-88% accuracy at 85%) where other SOTA methods collapse to near random chance. We present the first evaluation of model compression along privacy dimensions: attribute inference resistance, training data memorization, and extraction attack vulnerability. Structured compression via learned gates produces subnetworks with favorable privacy-utility balance without any explicit privacy mechanism. WISE masks also transfer to fresh models …

Grm-153-198 Safecircle: Ai And Micro-Radar-Based Remote Monitoring For Patients With Ad/Adrd, Awan-Ur- Rahman, Soarov Borty, Gowtham Ankolu

C-Day Computing Showcase

Alzheimer's disease and related dementias (AD/ADRD) are irreversible and degenerative neurological conditions that severely impacts neurons, resulting in cognitive decline and memory loss. This study explores a mHealth system, including a SafeCircle iOS prototype, a novel solution that combines artificial intelligence with cutting-edge micro-radar technology. The platform offers a variety of features, including management of patient and caregiver profiles, real-time alerts in case of emergencies, emergency contact lists, one-touch SOS support, sharing of live locations, and recording of unusual events in video. It is a responsive and reliable care assistant that optimizes patient safety while reducing caregiver burden.

Grm-156-153 Finding Top-K Assignments For Multi-Hypothesis Tracking, Tyler Hood, Rakshak Gurung

C-Day Computing Showcase

Multi-Hypothesis Tracking (MHT) is a framework for solving the data association problem in multi-target tracking by maintaining multiple possible assignments between observations and targets over time. Rather than committing to a single solution, MHT explores a set of competing hypotheses, allowing it to handle noise, missed detections, and ambiguous measurements. In practical systems such as radar, LiDAR, and vision-based tracking, MHT is commonly implemented using algorithms like Murty’s algorithm to generate multiple high-quality assignment solutions from the Hungarian algorithm. In this work, we instead propose an assignment-tree-based approach, where hypotheses are incrementally constructed and prioritized using a structured search strategy. …

Grm-157-180 Precision Engineering: Using Ai To Design Nanoparticles That Target Malignant Cells, Rakshak Gurung, Nino Tkabladze

C-Day Computing Showcase

The challenge of predicting nanoparticle distribution remain a significant hurdle in nanomedicine. This research presents a computational framework for the inverse design of nanoparticles, utilizing ML models to optimize drug delivery systems for tumor targeting. By analyzing the relationship between nanoparticle compositions and biological accumulation, the model identifies optimal configurations to maximize therapeutic efficacy. The results demonstrate that AI-driven inverse design can significantly streamline the development of precision nanocarriers, reducing the need for exhaustive experimental trials.

Does Time Matter? Comparing 8- And 12-Hour Registered Nurse Shifts., Ava P. King, Abby L. Goodall, Cheryl L. Goodall, Makayla B. Ramsey, Imari K. Golden

Epsilon Sigma at-Large Research Conference

This project analyzes the effect that registered nurse's shift length has on patient outcomes and quality of care. The research specifically explores a well-debated healthcare issue; are 12-hour shifts associated with poor patient care due to fatigue? By comparing errors made in 12-hour and 8-hour shift lengths of registered nurses, it can be determined if a trend can be seen in declining patient care. Not only will this research shed light on nurses' fatigue and burnout, but it will also showcase the patient dangers associated with overworking. Overall, the goal is to bring awareness using statistical data that explains why …

The Impact Of Social Interaction On Patient Well-Being With Transition Into Long-Term Care Settings: A Review Of Interventions For Improved Patient Outcomes, Helen Whitney Harmon

Epsilon Sigma at-Large Research Conference

Abstract

Purpose: When individual patients are transitioned from home or acute care settings to more long-term care environments such as skilled nursing units or assisted living facilities, the residents are at an increased risk of experiencing loneliness, which is linked to depression, anxiety, and increasing cognitive decline, and other detrimental outcomes.

Aims: Combinations of peer-reviewed qualitative and quantitative research studies were analyzed to determine what factors contributed to changes in patient well-being, mental health and overall quality of life during these transitions.

Methods: One article focusing on preventable healthcare transitions in patient population was able to link higher medical acuity …

Choreographed Confession: Plath’S Engineered Extremity And Technical Voice, Emma Heagney

Liberty University Research Week

Sylvia Plath’s poetry is frequently interpreted through the framework of confessionalism, encouraging readings that equate emotional extremity with spontaneous self-disclosure and psychological crisis. This presentation challenges that assumption by arguing that the intensity of Plath’s late poetry is not an eruption of uncontrolled feeling but a deliberately engineered aesthetic effect. Drawing on Plath’s journals and letters alongside close readings of poems from Ariel, the project demonstrates that Plath conceived of poetry as a disciplined, technical practice involving control, revision, and precision rather than unmediated expression. Her private writings repeatedly emphasize ordering, manipulation, and the importance of sound, revealing a poet …

A Systematic Literature Review Examining Suicide Risk Factors In Older Adults, Carolyn Bivens

Epsilon Sigma at-Large Research Conference

Introduction & Background: Suicide in older adults is a increasingly prevalent tragedy worldwide, and rates in North America have uniquely increased over the past two decades. The context of the cultural environment of North America and population-specific factors in the elderly must be explored to protect this vulnerable group.

Purpose Statement Question: In older adults living in North America, what experiences and risk factors influence the development and severity of suicidal thoughts and behaviors?

Literature Review: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart guided the search of the Cumulative Index to Nursing and Allied Health Literature …

Canndor Herbarium: A Comprehensive Herbarium Resource For Cannabis Identity, Diversity, And Botanical Research, Nick Batora, Laura Klein, Kerin Law, Eleanor Kuntz

Oxford ICSB

Decades of cannabis prohibition have created major gaps in our understanding of cannabis biology, especially with regard to the genomic, phenotypic, and germplasm resources that are standard in other agriculturally and medicinally important crops. Herbarium collections, which serve as archival specimens that preserve plant material for long term study, are no exception. Although herbarium specimens are meant to document plant diversity, most collections contain only a narrow sampling of cannabis and do not reflect the extensive variation present in commerce or this species at large. To address this need, the Canndor Herbarium was established in 2016 as the first dedicated …

Synthesis And Characterization Of Group 7 Tricarbonyl Fluoromethyl Substituted Aromatics, Christopher Roylance

Liberty University Research Week

Organometallic compounds are chemical species containing at least one direct bond between a carbon atom of an organic molecule and a metal atom. These compounds have a wide variety of uses, including OLEDs, semiconductors, reagents, catalysts, and pharmaceuticals. The compounds synthesized in this report are similar to the compounds used in the production of OLEDs and semiconductors.This research focuses on the synthesis and characterization of fluoromethyl-substituted aromatic tricarbonyl complexes employing Group 7 metal centers. Group 7 tricarbonyls have several applications that include hydrodesulfurization, medicine, and electronic materials. These complexes have been shown to be quite stable towards O2 and H2O …

Quantifying Neuropathy With Von Frey Filaments In Mice: Novel Neuropathic Pain Animal Model, Maggie Milhorne

Liberty University Research Week

Neuropathic pain is a chronic pain condition resulting from damage to the nervous system which does not respond to current pharmacological treatments. Previous research in rats has demonstrated that formalin injections can induce chronic pain states and molecular changes within the spinal cord comparable to those of the spinal nerve ligation (SNL), an established surgical model of neuropathic pain. This study aimed to determine whether a subcutaneous injection of 5% formalin is sufficient to induce chronic pain in mice, providing a simple and less invasive model to study chronic pain mechanisms. Mechanical pain sensitivity is assessed using the von Frey …

Histological Quality Of Fresh And Pre-Fixed Tissue, Rebekah Satalino, Andrew Hodges, Bright Danso, Gretchka Mair, Kingsley Ampong

Liberty University Research Week

The quality of a tissue sample used for histological analysis robustly influences the accuracy of scientific results and diagnostic interpretation. For fresh tissue samples, the duration between termination and fixation is a major determinant for tissue quality going forward as fixation halts tissue degradation. The condition of the fixed tissue before subsequent processing can have a pronounced effect on staining characteristics and cellular component integrity as examined under the microscope. However, while fresh tissue is frequently considered best, many institutions may only have access to pre-fixed tissue for training or research purposes. The aim of this research is to compare …

Examining Carroll’S Alice In Wonderland And Through The Looking Glass, And What Alice Found There: A Christian Calling To Spiritual Childhood, Kristen Hess

Liberty University Research Week

"Examining Carroll’s Alice in Wonderland and Through the Looking Glass, and What Alice Found There: A Christian Calling to Spiritual Childhood" dives into the positive and negative childlike habits that Alice, a representative of children and childhood, embodies and how Christians should identify and emulate her positive childlike behaviors in order to best fulfill their roles as spiritual children of God. Because Christians are children of God according to Romans 8:16, it is vital for Christians, like children, to understand the world around them, learn about themselves and others, and enjoy physical and mental play and recreation. Lewis Carroll found …

Inclusion May Affect Marching Band Members Of Black Universities Differently Than Members Of White Universities: Narrative Inquiry, Derrick Yates

Liberty University Research Week

There is a lack of research on the emotional connection and support students of Historically Black Colleges and Universities may seek through their band experience versus students of Predominantly White Institutions. Some studies demonstrate that those who participate in music ensembles express heightened self-esteem, a sense of connectedness, and a positive impact on their mental and psychological well-being. This narrative inquiry research study focuses on the unexplored perspectives of three band members from historically black and three predominantly white university marching bands, regarding their emotional connections to their programs and the emotional connections and support they receive from them. The …

Paws And Predictions: Interpreting Intraspecific Cat Social Interactions Through Facial Signals, Levi Neal, Lauren Scott, Gosia Zobel, Brittany Florkiewicz

People and Animals: The International Journal of Research and Practice

There has been limited research on humans’ ability to perceive and predict social interactions among cats using facial signals. This area is crucial to explore since conflicts between cats often cause significant stress for their guardians. By evaluating individuals’ skills in understanding cat interactions, researchers can develop tools to help guardians predict affiliative and nonaffiliative behaviors, leading to effective intervention strategies for multicat households. We distributed a survey to individuals subscribed to the Companion Animals New Zealand newsletter to assess cat guardians’ effectiveness in perceiving and predicting various social interactions among cats. We hypothesized that guardians with one or more …