Information Technology: Faculty Publications
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Collection preserves publications by current and former faculty and staff.
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from 2026
Reviving Fine Details in Historical Photographs Using A-ESRGAN: An AI Framework for Digital Heritage, Yvonne C. Jegede, Temitope D. Jegede, and Atef Shalan
Probabilistic modeling of decryption-failure bounds in CRYSTALS-Kyber under the post-quantum threat model, Cemil Emre Yavas, Lei Chen, and Christopher Kadlec
Retraction Note: Improving earthquake prediction accuracy in Los Angeles with machine learning (Scientific Reports, (2024), 14, 1, (24440), 10.1038/s41598-024-76483-x), Cemil Emre Yavas, Lei Chen, Christopher Kadlec, and Yiming Ji
from 2025
AI-Based Detection of Zero-Day Exploits: A Framework, Temitope Damilola Elijah, Nafeeul Alam Walee, and Atef Shalan
A Comparative Analysis of OpenAI's API Performance: Insights from AI Response Statistics, Nafeeul Alam Walee, Atef Mohamed, Hayden Wimmer, and Christopher A. Kadlec
Empowering Circuit Prototyping with Generative AI: A Framework for Vision-Based Real-Time Code Generation and Adaptation, Nafeeul Alam Walee, Atef Shalan, Hayden Wimmer, and Christopher Kadlec
Enhancing CNNs via structural intervention with XGBoost, Cemil Emre Yavas, Lei Chen, Christopher Kadlec, and Jongyeop Kim
Exploring Predictive Modeling for Food Quality Enhancement: A Case Study on Wine, Cemil Emre Yavas, Jongyeop Kim, Lei Chen, Christopher Kadlec, and Yiming Ji
from 2024
Predictive Modeling of Earthquakes in Los Angeles With Machine Learning and Neural Networks, Cemil Emre Yavas, Lei Chen, Christopher Kadlec, and Yiming Ji
Sales Predictions for Video Games Using Predictive Analytics of Market Data, Dashae Gray, Atef Mohamed Shalan, and Christopher Kadlec
Optimizing Deep Learning Accuracy: Visibility Filtering Approach for Early Wildfire Detection in Forest Sensor Images, Nafeeul Alam Walee, Atef Shalan, Christopher Kadlec, and Munshi Khaledur Rahman
Improving earthquake prediction accuracy in Los Angeles with machine learning, Cemil Emre Yavas, Lei Chen, Christopher Kadlec, and Yiming Ji
from 2023
Big Cyber Security Data Analysis with Apache Mahou, Omotola Adekanbmi, Hayden Wimmer, and Jongyeop Kim
Integration of EEG and Eye Tracking Technology: A Systematic Review, Suhaima Jamal, Meenalosini Vimal Cruz, Sibi Chakravarthy, Camden Wahl, and Hayden Wimmer
Performance Analysis of Machine Learning Algorithm on Cloud Platforms: AWS vs Azure vs GCP, Suhaima Jamal and Hayden Wimmer
JavaScript Frameworks -A Comparative Study, Qozeem Odeniran and Hayden Wimmer
Big Data Approach For IoT Botnet Traffic Detection Using Apache Spark Technology, Arokodare Oluwatomisin, Hayden Wimmer, and Jie Du
An Industry Survey of Analytics Spreadsheet Tools Adoption: Microsoft Excel vs Google Sheets, Carl Rebman, Queen Booker, Hayden Wimmer, Steven Levkoff, Mark McMurtrey, and Loreen Marie Powell
An Exploratory Study Comparing Zoom and Google Technology As A Group Decision Support System, Carl M. Rebman Jr and Hayden Wimmer
Faculty Opinions on Student Preparation, Performance, And Evaluations Post Covid, Carl M. Rebman Jr, Hayden Wimmer, Queen Booker, J. Breese, P. Rogers, Mark McMurtrey, and Steven Levkoff
Web Service Credibility Evaluation Methods in Different Application Domains, Atef Shalan, Jaciel E. Reyes, Hayden Wimmer, Sarika Jain, and Mohamed Hefny
Anomaly Detection in Intrusion Detection System using Amazon SageMaker, Ian A. Trawinski, Hayden Wimmer, and Jongyeop Kim
Evaluating the Performance of Containerized Webservers against web servers on Virtual Machines using Bombardment and Siege, Daniel Ukene, Hayden Wimmer, and Jongyeop Kim
Text Prediction Using Artificial Intelligence: An Analysis of Two Text Prediction Systems, Hayden Wimmer, Jie Due, and Peter Heri
from 2022
Dark Web Forensics: An Investigation of Tracking Dark Web Activity with Digital Forensics, Robert Brinson, Hayden Wimmer, and Lei Chen
