Engineering Commons^™

Physiotrack: A Gamified Physiotherapy System, Pranavi Chaturvedula

Master's Projects

Traditional physiotherapy methods tend to be non-interactive and provide little to no personalized instruction, even though physiotherapy is critical to stroke recovery. This thesis explores a fully adaptive, sensor-based, feedback architecture intended for stroke patients which remotely supervises movement and personalizes exercises enabled by multimodal sensors. The system uses filtering and windowed segmentation of accelerometer and skeletal data to compute features like jerk, speed, and joint movement angular range. A game engine applies accelerometer and skeletal features together with optimized, lightweight ML models to drive adaptive feedback, scoring, and difficulty adjustment. The architecture supports responsive continuous sensor streaming within the …

Large Language Model Powered Etl Pipeline Development A Project Report, Aditya Chandras

Master's Projects

This projects discusses the use of Large language model to simplify and automate Extract, Transform, Loading (ETL) development. Data engineering tasks oUen need technical experDse, thereby challenging non-experts and even industry professionals for such Dme intensive operaDons. The project tackles these challenges by employing quanDzaDon of a base Lllama-2-7b-Chat model using QLora technique. The lowered precision of the base model allow further execuDon on a limited hardware resource. The project further performs Supervised fine-tuning trainer (SFT) to perform fine-tuning, specializing the model for generaDng script for ETL tasks. The fine-tuned model is evaluated through a series of micro and comprehensive …

Suicidal Ideation Detection On Reddit Using Llm-Annotated Data And Graph Neural Networks, Ikbal Singh Gurdev Singh Dhanjal

Master's Projects

Suicide is the fourth leading cause of death among people aged 15-29. More than 720, 000 people commit suicide every year. During the COVID-19 pandemic, we saw an increase in people seeking out mental health support on anonymous forums like Reddit. These anonymous forums allow people to express their suicidal ideation without judgment and give them a support structure that not everyone has. The aim of this project is to detect suicidal ideation using Reddit. In this work, we propose SIRGEL (Suicidal Ideation on Reddit using Graph Embeddings and LLMs), a dual-pipeline approach that combines large language model (LLM)- based …

Secured Data Storage Management With Deduplication In Cloud Computing And Local Gpt Integration, Pavan Myana

Master's Projects

Exponential growth in cloud computing has brought enormous changes in data storage and processing, but also raised several questions on the security, privacy, and efficient storage of data. This report provides a dual-focused approach toward solving these challenges. First, we try to build an application securely and efficiently using data deduplication and Proxy Re-Encryption for optimization of storage and enabling secure data sharing. Deduplication ensures that redundant data is removed before encryption for maximum efficiency in storage, while PRE enables the safe sharing of encrypted data by re-encrypting the keys for specified recipients without the leakage of sensitive information. We …

Performance Comparison Of Machine Learning Across Metal, Cuda, And Neuromorphic Frameworks, Ryan Saini

Master's Projects

Machine learning’s computational demands necessitate optimal performance and utilization. This research compares Apple Silicon M3 Pro with MPS, NVIDIA RTX 3070 GPU with CUDA, and neuromorphic computing for machine learning methods. We provide a cross-platform and cross-architecture performance analysis of machine learning methods to identify optimal configurations for training and inference scenarios. On traditional neural networks, Apple Silicon with MPS delivers superior energy efficiency at the cost of longer processing times for training and inference. NVIDIA with CUDA offers faster computation in training and inference at higher energy costs. Convolutional spiking neural networks perform competitively on event-based data, particularly on …

Malware Opcode Embedding And Quality Assessment Of Generative Sample Embeddings, Atishay Jain

Master's Projects

Malware is software used to damage and disrupt computer systems with the intent to cause damage to the victim. Malware detection and classification into malware families is a crucial problem for cybersecurity researchers. One of the major bottlenecks in improving these systems is the shortage of good quality labeled malware data, especially for malware families with scarce samples. Researchers have utilized generative models to generate malware data to address this issue. Malware embeddings encode patterns within a malware file, which can be used to detect and classify malware. Recently, encouraging results have been obtained in generating malware embeddings using generative …

Gen Ai For Malicious Network Data, Aneesh Maturu

Master's Projects

Though botnet attacks are on the rise, they also have become sophisticated and difficult to detect. Such a rising threat demands more and more sophisticated cybersecurity that leverages machine learning technology. Nevertheless, one of the biggest bottlenecks remains the unavailability of large and well-balanced datasets, particularly for malicious traffic, which hampers the efficacy of detection models. In an attempt to address this issue, our research utilizes Generative Adversarial Networks (GANs) to produce synthetic samples of botnet traffic from the CTU-13 dataset. While the majority of generative models have been targeting image data, we use GANs for a new application: generating …

Human Vs. Llm: Interpreting Emotion From Neutral Faces In Contextually Charged Backgrounds, Sai Mounika Peteti

Master's Projects

In this study, we investigate the intersection of cultural context, visual perception, and implicit bias in interpreting neutral human expressions. Specifically, we explore how emotionally charged backgrounds can shape viewers interpretations of neutral facial expressions. Using an experimental setup, participants are shown neutral human portraits paired with varying background types ranging from emotionally neutral or pleasant to evocative scenes. Participants are tasked with selecting which background best matches the emotional state of the person depicted in the portraits. Eye-tracking data is collected to analyze visual attention patterns and cognitive processing. In parallel, we also evaluate how large language models (LLMs) …

Fault And Cyberattack Diagnosis And Handling Via Large Language Models And State Prediction For Manufacturing And Quantum Systems, Jihan Abou Halloun

Wayne State University Dissertations

In the digitalization era and Smart Manufacturing, companies are harnessing the power of artificial intelligence (AI) and machine learning (ML) across multiple sectors, including process engineering optimization, process control and fault detection, to enhance efficiency and engineering decision making. Although AI and ML are widely used in anomaly detection and handling, there are still areas where it has been less explored. One of the major areas where AI’s potential in manufacturing needs to be characterized is with respect to the applications of large language models (LLMs) in manufacturing troubleshooting for fault/attack handling. A second major area where the potential of …

Vision-Language Models For Future Image Caption Prediction: Methods, Applications, And Adversarial Vulnerabilities, Md Ishak

Wayne State University Theses

Image captioning has traditionally focused on generating descriptions for individual static images. However, predicting future events from visual information is a fundamental challenge in this domain. While existing methods primarily describe current visual content, the ability to anticipate and generate captions for future events remains largely unexplored. We propose a novel approach for future caption prediction by leveraging the capabilities of Vision Transformer (ViT), Generative Pre-trained Transformer 2 (GPT-2), and Text-to-Text Transfer Transformer Model (T5) architectures.

Our method includes two complementary strategies: a two-stage pipeline where ViT-GPT2 generates captions for current images and T5 analyzes these captions to predict future …

Maritime Digitalization And Decarbonization: A Sustainable Future, World Maritime University, Korea Research Institute Of Ships And Ocean Engineering, Korea Maritime Institute

Books

The book with the title “Maritime Digitalization and Decarbonization: A Sustainable Future” is the second major outcome following the publication of the Proceedings of WMU Maritime Week (WMW) 2024.

The purpose of WMU Maritime Week 2024 (WMW) was to convene experts from diverse sectors to discuss contemporary maritime issues, generate practical and academic insights, and contribute to the advancement of the international maritime community. Following the success of WMW 2024, the aim is to deliver a top-notch annual conference in the maritime field, producing practical and academic outputs through in-depth discussions of critical contemporary issues in the maritime field. …

Characterization Of Cancer Cell Migration Through Brain Vascular Endothelium Model, Malak Taysser Al-Noubani

2025 Fall Honors Capstones Projects - Archive

One of the hallmarks of cancer is increased vessel growth to feed the tumor’s rapid expansion. The newly formed blood vessels are immature and often leaky due to structural and functional abnormalities. This leads to ineffective anti-cancer drug delivery and provides tumor cells with additional opportunities to metastasize. We propose to develop an in vitro vascular endothelium model and introduce aggressive triple-negative breast cancer (TNBC) cells to mimic the tumor environment, utilizing a Transwell migration assay. The impact of TNBC cells on vessel permeability will be assessed by staining for tight junction proteins, and the migratory capabilities of TNBC cells …

Ioto: Never Open A Stiff Lid Again, Gabriel Portugal

Libraries Award for Undergraduate Scholarship

Background: From baby food to pickles, food jars are a common find in American homes. Unfortunately,  the task of opening a stiff jar lid can be very difficult for consumers with lower grip strength, parkinsons,  or arthritis. While there are a variety of products on the market to help make this easier, there exist few jar  openers that can be used by these consumers. Objective: This project aimed to research and develop  (R&D) an improved hands-free jar opener that is accessible for consumers with the most advanced  cases of limited arm strength. Methods: R&D followed a Design Thinking approach with …

Indigenous Technology Futurisms: Reclaiming Mackinac Island In Virtual Reality, Madeline A. Gupta

Library Map Prize

In Indigenous Technology Futurisms: Reclaiming Mackinac Island in Virtual Reality, Madeline A. Gupta introduces a place-based digital storytelling project that uses interactive mapping as the foundation for cultural reconnection and community wellness. Centered on Mackinac Island—ancestral land of the Anishinaabe people—the project features a custom-designed map by an Anishinaabe artist, allowing users to navigate a VR website by selecting specific locations across northern Michigan. Each map point opens into a spatial video experience paired with traditional audio content, including oral histories, poetry, and songs.

The project reframes digital cartography through an Indigenous lens, challenging Western colonial mapping practices that …

Estimating Pedestrian Crossing Times At Scramble Crossings Via Machine Learning And Agent-Based Modeling, Sho Takami

CURE Proceedings

Scramble crosswalks differ from conventional crosswalks in their ability for pedestrians to cross diagonally. This research compares the average crossing times and investigates the walking behaviors that pedestrians adopt to produce the speediest times in the two crosswalk configurations. Identification of the most efficient set of walking behaviors is done through an agent-based model, whereas producing polynomials relating crossing times to the most prominent walking behaviors is done through regression algorithms in machine learning. With the combination of these two approaches, it is revealed that pedestrians must adopt a relaxed walking style to make each crosswalk configuration efficient. Additionally, between …

Phase Change Cells And Verification Of Gallium As Thermal Calibration Reference In Space, Harri Latvakoski, T. Shane Topham, Gail Bingham, Mike Watson, Igor Podolski

Space Dynamics Laboratory Publications

• Phase change cell introduction

• Design and ground testing of on-orbit phase cells

• ISS phase cell flight experiment

Radiometric Sensor Level Calibration For Remote Sensing (Planning, Testing, And Operation), Joe Tansock

Space Dynamics Laboratory Publications

Contents

• What is Calibration and Why is it Important (example) 
• Remote Sensor Calibration Approaches
• Typical Space-based Sensor Lifecycle and Calibration Efforts at SDL
• EO Calibration Applications (example) 
• Example Calibrations at SDL
• Calibration Testing at SDL and example Calibration Equipment
• Calibration is Multi-Path
• Student Employment/Projects to Support SDL Calibration

Calibration For Small Satellite Payloads, Jason Knudsen, Christian Conkle, Alex Allgrunn, Deron Scott

Space Dynamics Laboratory Publications

SDL Presentation on Calibration for Small Satellite Payloads

Rbi Ground Calibration, Harri Latvakoski, Greg Cantwell, James Peterson, Joel Cardon

Space Dynamics Laboratory Publications

• RBI overview

• Ground calibration objectives

• Calibration configurations & chamber setup

• Calibration tests & equipment

Small Satellite Payload Calibration, Deron Scott, Cole Miller, Eli Salay, Shane Canfield, Scott Hansen, Matt Berghout, Jan Kunzler, Duane Miles

Space Dynamics Laboratory Publications

SmallSat missions have cost, time, and scale limitations. Calibration methods can be optimized to enable mission success at a low cost by providing customers the best “bang for their buck.”

Multi-Layered Security Approaches For A Modular Open Network Architecture-Based Satellite, Brandon Shirley, Quinn Young, Peter Wegner, Jacob Christensen, Jeffrey Janicik

Space Dynamics Laboratory Publications

Overview

• Introduction
• Open System Architecture (OSA) and Modular Open Network Architecture (MONA) background
• Security Challenges
• Security Principles
• Solutions

C 3 An: Custom, Compact And Composite Ai Systems - A Neurosymbolic Approach: 4Th-Generation Evolution Of Intelligent Systems, Amit P. Sheth, Kaushik Roy, Revathy Venkataramanan, Venkatesan Nadimuthu

Publications

Artificial Intelligence (AI) systems continue to evolve rapidly. From the architecture perspective, it is evolving from large, monolithic models trained on massive internet data to complex, multi-component “compound” systems and “agentic” frameworks capable of semi-autonomous decision-making. These systems show immense promise yet face numerous challenges in reliability, consistency, transparency, and alignment with user goals. In this article, we propose Custom, Compact and Composite AI with Neurosymbolic (C3AN) approach, a framework that paves way to 4th-generation of AI that integrates data, knowledge, and human expertise to build robust, intelligent and trustworthy AI systems defined by 14 foundation elements.

Custom emphasizes …

Assessing Porosity Limit In Freeze-Cast Sintered Lithium Titanate (Li₄Ti₅O₁₂) Materials, Rohan Parai, Dipankar Ghosh

Mechanical & Aerospace Engineering Faculty Publications

This study aims to assess the lower limit of porosity that can be achieved in freeze-cast sintered lithium titanate (LTO) materials while maintaining the characteristic pore directionality. LTO materials were fabricated with solid loading varying in the range of 30–37 vol.%. Sucrose and cationic dispersant were used to vary viscosity and total solute concentration in the aqueous LTO suspensions. Two series of suspension compositions were selected for freeze-casting. In one series, aqueous suspensions were prepared by mixing deionized (DI) water, sucrose, and LTO powder, while in the other series, aqueous suspensions were prepared by mixing DI water, sucrose, cationic dispersant …

Morphing Shape Metastructures Using The Hybrid Position Feedback Control And Bistable Structural Elements, Mehmet Simsek, Thomas E. Alberts, Onur Bilgen

Mechanical & Aerospace Engineering Faculty Publications

This research introduces a new multi-degree-of-freedom metastructure concept utilizing a hybrid position feedback controller. An arbitrary number of bistable segments, or structural elements, are connected serially or in parallel to form a distributed bistable structure, or a so-called metastructure. The hybrid controller, an unstable-then-stable second-order single-degree-of-freedom system, leverages the resonant mode of a bistable system to destabilize it and dynamically induce snap-through between equilibria. The metastructure inherits multiple bistable positions, maintaining equilibrium shapes without consuming power and enabling many equilibrium configurations. Two geometric configurations are proposed and analyzed using a modified hybrid feedback control approach, which rejects forces from neighboring …

Hypnosis And Mindfulness Audio Recordings For Reducing Fatigue In Individuals With Multiple Sclerosis: A Randomized Controlled Study, Mark P. Jensen, Susan Robles, Michael G. Nash, Susanne May, Dwan M. Ehde, Melissa A. Day, Owen Gottlieb, Laurence I. Sugarman, Kevin N. Alschuler

Articles

Background

Fatigue is a common problem in individuals with multiple sclerosis (MS).

Objective

The objective was to evaluate the effects on fatigue of having 4 weeks of

access to audio recordings of therapeutic hypnosis (HYP) and mindfulness meditation

(MM) practices.

Methods

A total of 333 individuals with MS and fatigue were randomly assigned to

one of the three treatment conditions for 28 weeks: (1) access to therapeutic HYP audio

recordings, (2) access to MM audio recordings, or (3) no access to recordings

(treatment as usual or TAU). Fatigue impact (primary outcome) and other outcomes

were assessed at 4, 16, and …

Separating The Impacts Of A Corrosion Inhibitor From Copper Corrosion Products On Antibiotic Resistance In Drinking Water, Veronika Folvarska, Maya Adelgren, Emily Lou Lamartina, Ryan J. Newton, Yin Wang, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Antibiotic resistance is a growing threat to public health, and environmental factors, including metals in drinking water distribution systems, are increasingly recognized as contributors to the spread of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs). Zinc orthophosphate, a common corrosion inhibitor, and copper corrosion products (CuO and Cu₂O) are frequently present in drinking water systems. While each has been shown to increase ARB and ARGs individually, their combined effects remain unknown. The objective of this study was to evaluate the combined impact of copper corrosion products and the corrosion inhibitor zinc orthophosphate on antibiotic resistance. Two …

Eco-Friendly Synthesis And Stability Analysis Of Cspbbr3 And Poly(Methyl Methacrylate)-Cspbbr3 Films, You-Lin Huang, Wei Li, Fuqian Yang

Mechanical Engineering Faculty Publications

This study presents an eco-friendly mechanochemical synthesis of cesium lead bromide (CsPbBr₃), eliminating the need of organic solvents and high temperatures. The synthesized CsPbBr₃ powder is used to fabricate poly(methyl methacrylate) (PMMA)-CsPbBr₃ films and CsPbBr₃ nanocrystals (NCs). The photoluminescence (PL) peaks of the emission light are centered at 541 nm, 538 nm, and 514 nm for the CsPbBr₃ powder, PMMA-CsPbBr₃ films, and CsPbBr₃ NCs, respectively, correlating with crystal sizes of 0.96, 0.56, and 0.12 μm, respectively. The PL lifetime analysis reveals decay times () of (4.18, 20.08), (5.7, 46.99), and (5.81, …

Generative Ai (Gan & Vae) In Motion Sickness Research, Harigovind Harikumar, Tomojit Ghosh

Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials

No abstract provided.

A Systematic Study Of Freezing Behavior In Earthworms In Response To Auditory And Vibratory Stimuli, Navjot Singh, A. Burton, Dragana Ivkovich Claflin

Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials

While earthworms have largely been studied for their role in eliminating toxic metals from soil, less is known about their behavior overall. Previous work from our lab found that a predator-like auditory stimulus (grunting) reliably induced fear-related freezing behavior (Worthen et al., 2024). The present studies further explore earthworm behaviors in response to audio-vibratory stimuli. In Experiment 1, we manipulated amplitude levels and speaker location to examine the parameters needed to reliably induce a freezing fear response to the grunting sound. It was hypothesized that when the speaker was touching the apparatus and producing an added mechanical vibration, there would …

การพัฒนาเกมกระตุ้นการรู้คิดด้วยเทคโนโลยีเสมือนจริงสำหรับผู้สูงอายุที่มีภาวะการรู้คิดบกพร่องเล็กน้อย, ธนกร ตันมาลาภรณ์

Chulalongkorn University Theses and Dissertations (Chula ETD)

ภาวะการรู้คิดบกพร่องเล็กน้อยเป็นระยะเปลี่ยนผ่านระหว่างภาวะสมองปกติกับภาวะสมองเสื่อม โดยมีอาการที่เกี่ยวข้องกับความจำ ภาษา การรู้คิด และการตัดสินใจ แต่ยังไม่ส่งผลกระทบต่อการใช้ชีวิตประจำวัน งานวิจัยนี้จึงมุ่งเน้นการนำเสนอแนวคิดการออกแบบเพื่อพัฒนาเกมที่สามารถช่วยกระตุ้นการรู้คิดของคนที่มีภาวะการรู้คิดบกพร่องเล็กน้อย ซึ่งได้ประยุกต์ใช้เทคโนโลยีเสมือนจริงด้วยแว่น Meta Quest 2 ยูนิตีและเบลนเดอร์ถูกใช้ในการพัฒนาเกม เนื่องจากเป็นซอฟต์แวร์โอเพนซอร์สและไม่มีค่าใช้จ่าย เกมถูกออกแบบมาเน้นการกระตุ้นการรู้คิดผ่านการฝึกความจำและการรับรู้ตำแหน่ง โดยผู้เล่นจะต้องจดจำตำแหน่งและสีของเฟอร์นิเจอร์ภายในห้อง และมีการพัฒนาเกมในระบบผู้เล่นหลายคนสำหรับ 2 บทบาท คือ ผู้เคลื่อนย้าย และ ผู้ช่วย เพื่อส่งเสริมการสื่อสารและการทำงานร่วมกัน นอกจากนี้ ยังมีการพัฒนาเกมในรูปแบบเว็บไซต์ควบคู่กันไป เพื่อให้เป็นทางเลือกที่ผู้สูงอายุสามารถเข้าถึงง่าย โดยไม่จำเป็นต้องใช้อุปกรณ์วีอาร์เฉพาะทาง จากอาสาสมัครทั้งบนเวอร์ชันวีอาร์และเวอร์ชันเว็บไซต์ พบว่าเวอร์ชันวีอาร์ให้ความสมจริงและช่วยให้ผู้เข้าทดลองมีสมาธิกับงานด้านความจำและการรับรู้ตำแหน่งมากขึ้น ขณะที่เวอร์ชันเว็บไซต์เข้าถึงง่ายและใช้งานสะดวกสำหรับผู้สูงอายุ โดยรวมแล้วทั้งสองแพลตฟอร์มน่าจะกระตุ้นการรู้คิดได้และได้รับผลตอบรับที่ดีจากอาสาสมัคร