Electrical and Computer Engineering Commons^™

On Time-Series Analysis By Structured Matrix Decompositions With Applications To Signal Direction-Of-Arrival Estimation, Georgios Ierotheos Orfanidis

Electronic Theses and Dissertations

Modern autonomous systems operating in highly dynamic, non-stationary environments require reliable inference from short, potentially corrupted time-series measurements, where conventional statistical methods relying on large-sample support and stationarity assumptions become fundamentally inapplicable. This dissertation develops a unified, model-free theoretical framework for time-series analysis, with a particular application to signal Direction-of-Arrival (DoA) estimation, grounded in structured matrix decompositions under both the L2-norm and L1-norm formulations.

We first approach the problem from a conventional viewpoint by carrying out standard matrix analysis directly on Hankel-structured representations of time-series data. In this context, we demonstrate that L1-norm decompositions of Hankel matrices offer strong resistance …

Molecular Catalysts For Electrochemical Nitrogen Activation Toward Sustainable Ammonia Synthesis, Jin-Xiu Han, Hao Xue, Xian-Biao Fu

Journal of Electrochemistry

Homogeneous electrocatalytic nitrogen reduction reaction (NRR) provides a powerful framework to interrogate molecular nitrogen-fixation pathways under mild conditions. By tuning the metal center, ligand architecture, and reaction medium, these systems enable capturing key intermediates and delivering mechanistic insight at the molecular-level resolution. Nevertheless, advances remain constrained by highly reduced operating potentials, intense competition from the hydrogen evolution reaction (HER), limited durability in turnover, and inadequate long-term stability.

In this review, we take electron delivery to the molecular active site as the guiding principle for organizing homogeneous electrochemical N₂ activation and transformation. We classify reported systems into direct electron transfer …

Water-Driven Solid Electrolyte Interphase Governs Continuous-Flow Ammonia Electrosynthesis, Peng-Bo Liu, Sheng-Liang Zhai, Ji Huang, Zhong-Shuo Zhang, Jie Zeng, Shao-Feng Li

Journal of Electrochemistry

Flow-cell architectures have emerged as a powerful platform for continuous and stable lithium-mediated nitrogen reduction (Li-NRR), enabling ambient-condition electrochemical ammonia synthesis and offering a promising alternative to Haber-Bosch processes. However, Li-NRR is exceptionally sensitive to trace water, and even minor variations in water content can profoundly alter interfacial chemistry. Here, we systematically investigate how initial water concentration affects Li-NRR performance in a continuous-flow cell. Excess water drives the formation of a thick solid electrolyte interphase (SEI) layer, which may impede nitrogen access to metallic lithium and hinder lithium-ion transport. As a result, the ammonia Faradaic efficiency collapses from ~61% to …

Insertion Of Noble Metal Free Cathodic Catalyst Layer With Fe-N-C Catalyst For Boosted Performance Of Pemfc, Shi Zhou, Muhammad Tariq, Asif Nadeem Tabish, Muhammad Salman, Fan-Di Ning, Muhammad Rayyan Tayyab, Ran-Ran Peng, Meng-Geng Hao, Wen-Mu Li, Xiao-Chun Zhou

Journal of Electrochemistry

Economical Fe-N-C catalysts are considered as promising alternatives to platinum group metal catalysts for proton exchange membrane fuel cells (PEMFCs). Despite exhibiting robust activity on rotating disk electrodes, their performance within membrane electrode assemblies often experiences limitations, such as decreased O₂ diffusion, high H₂O₂ formation, low proton conduction, and a lower electron transfer number. In this study, key factors, including proton transport, electron conduction, and gas diffusion within air-breathing PEMFCs, have been investigated by adjusting cathode catalyst layer (CCL) compositions. From the experimental results, the optimal peak power density was obtained when the loading of Fe-N-C …

A Machine Learning Framework For Ddos Attack Detection In Sdn-Enabled Mobile Wireless Networks, Ishita Sharma, Satyam Agarwai, Shashi Shekhar Jha, Sumit Chakravarty

Faculty Articles

Attacks on network components and devices pose a significant threat to service continuity, necessitating robust detection mechanisms. This paper presents a Distributed Denial of Service (DDoS) attack detection framework tailored for heterogeneous mobile wireless networks within a Software-Defined Networking architecture. A two-tier model is proposed: localized attack detection at access points (APs) using a Multi-Layer Perceptron (MLP) classifier, and centralized detection under mobility at the controller using a Long Short-Term Memory (LSTM) model. The system incorporates novel traffic features such as flow count, speed of source IP, source and destination IP address entropy, proportion of bidirectional flows, and handover frequency, …

Slait - Secure Language Assembly Inspector Tool, Michael Bratcher, Maria Linkins-Nielsen

Electrical Engineering and Computer Science Student Publications

Develop a secure web-based platform that enables users to:

• Upload assembly programs through a browser
• Select instruction inspection points
• Execute code inside an isolated sandbox
• Capture register and flag state changes
• Visualize execution behavior step-by-step

Diode-Pumped Solid-State (Dpss) Laser, Ryan Farrar, Kiahna Taylor, Jules Stone, Finn Mcmanus, Zoe Kreisler, Reis Knowles

Electrical Engineering and Computer Science Student Publications

The objective of this project is to create a working Nd:YAG laser design using an 808nm laser instead of a traditional flashlamp. The reason for the 808nm laser is to enable controlled lasing, and furthering accuracy & efficiency relative to a flashlamp.

Rapid Reach, Rishi Ammanabrolu, Alex Dumbell, Peyton Hay, Ashley Hurtado, Ryan Matthews, Mac Mchale, Sean Miller, Dan Zschau

Electrical Engineering and Computer Science Student Publications

Survival of out-of-hospital cardiac arrest depends on rapid heart defibrillation, yet automated external defibrillator (AED) retrieval, high acquisition costs, and maintenance requirements often limit unit availability. Consequently, the delay inherent in traditional manual retrieval and EMS arrival frequently prevents aid from reaching victims in time.

Chess Observation Based Operable Technology (Cobot), Brandon Goerz, Jeremy Hay, Luke Jacobsen, Sean Kalkiewicz, Logan Steele

Electrical Engineering and Computer Science Student Publications

This project aims to develop an autonomous robotic chess system capable of interpreting board state and physically executing moves. With a focus in real time against a human opponent. Utilizing integrating computer vision, game logic, user friendly GUI, and a robotic arm.

Srcis: Human-Robot Collaboration In Urban Search And Rescue Operations, Younghoon Cho, Yavanni Ensley, Jaylin Ollivierre

Electrical Engineering and Computer Science Student Publications

Search and Rescue Coordinated Intelligence System (SRCIS) is a human-agent system designed to:

• Improve the effectiveness of real-time search and rescue operations.
• Integrate human judgement with robotic autonomy and capabilities
• Enable coordinated action and adaptive response in dynamic environments.

Nocap: Article Fact-Checking With Ai, Thomas Chamberlain, Anthony Ciero, Varun Doddapaneni, Joshua Pechan

Electrical Engineering and Computer Science Student Publications

Fact checking media is important for properly obtaining information

Create a website that uses AI knowledge to allow users to fact check an article

Give these articles an authenticity score and report on what is fact or fiction

Aggregate scores of articles by the same publisher in a database allowing users to view their scores and article authenticity reports

Microgravity Simulator, Aruna Dookeran, Alexander Montano, Elias Orellana, Aiden Smart

Ocean Engineering and Marine Sciences Student Publications

Microgravity significantly affects biological growth, but space-based experiments are costly and difficult to access. Ground-based systems provide an alternative; however, many require continuous manual supervision to maintain operating conditions.

Breach Buddy: Compact Ugv, Zane Hicks, William Stanish, Kyle Gillenwater, Luis Garbanzos

Electrical Engineering and Computer Science Student Publications

This project addresses the challenges of obtaining real-time intelligence in hazardous environments, where personnel face significant risks and many existing systems face significant drawbacks.

Cardiac Image Reconstruction From Low-Dosage Spect Scans Via Deep Learning (Cirfldssvdl), Evan Gunderson, Timothy Shane, Alexander Thoms

Electrical Engineering and Computer Science Student Publications

● Single-Photon Emission Computed Tomogrophy (SPECT) scans are a type of medical scan ● A patient is injected with a radiotracer, which emits gamma rays that are detected by gamma cameras that rotate around the patient ● Using a series of images collectively referred to as a sinogram, a 3D reconstruction of the patient is created using techniques such as Maximum Likelihood Expectation Maximization (MLEM) ●MLEM takes a long time, but using a neural network can speed up the reconstruction process and allow for a lower dosage of radiotracer to be used

Aurora Display - Autonomous Dashboard For Smart Spaces, Isabella Bretthauer, Zach Collins

Electrical Engineering and Computer Science Student Publications

Aurora Display is a low-cost, API-driven digital signage platform for public environments. Built on Raspberry Pi 4B, it retrieves and normalizes real-time data from multiple sources and displays it through a modular tile interface. Local caching and fallback states ensure continuous, autonomous operation. A working prototype demonstrates adaptable deployment, sustainable operation, and continuous real-time, context-aware, information delivery.

Skin Cancer Detection App, Nicholas Rincon-Speranza, Lawson Darrow, Nikiraj Konwar, Christian Stevens

Electrical Engineering and Computer Science Student Publications

Skin cancer is one of the most common cancers, and early detection greatly improves outcomes.

Many people do not have quick or easy access to a dermatologist for an initial screening.

Our goal was to build a mobile app that can analyze a lesion image and provide a fast preliminary prediction on device.

This is not meant to replace a doctor, but to serve as an accessible screening aid that encourages earlier follow-up.

Electric Vehicle, Terence Lee, Troy Stephens, Corbin Williams

Electrical Engineering and Computer Science Student Publications

This project focuses on the research, design, and implementation of a traction inverter for the M- 9000-MACHE "Eluminator" electric motor. The work transitions the control and power stages from previous custom prototypes to industrial-grade evaluation platforms to achieve a stable motor spin. This phase integrates a Silicon Carbide (SiC) MOSFET power stage with a real-time TI C2000 control architecture, serving as a critical step in a multigenerational research initiative to develop a modular electric vehicle traction framework.

Edge Vision, A. Dookeran, L. Kahveci, K. Voelstad Bogen, M. Yanke

Electrical Engineering and Computer Science Student Publications

Assisted feeding requires real-time detection of: 

• Food locations of varying types 
• Mouth positions of where to feed. The system shall accurately detect and return the coordinates of the aforementioned while being able to execute on the NVIDIA Jetson Orin Nano.

Ortega Observatory Weather Station, L. Collins, B. Erskine, L. Houck, E. Kornbau

Electrical Engineering and Computer Science Student Publications

The team’s mission was to create an automated weather station with a convenient display to give information on conditions that affect the ability to observe such as rain and wind, in addition to performing necessary maintenance or repair on the Ortega Observatory and aiding in the construction of the PCB that will control the telescope movement arms.

Revu: Project Development Platform, Arisa Laloo, Chervelle Pierre

Electrical Engineering and Computer Science Student Publications

The development of Artificial intelligence (AI) tools has created new challenges for instructors.

Revu is designed to encourage students to build a deeper understanding of their projects through consistent interaction.