School of Technology and Computing
Hosted by CityU’s Center for Cybersecurity Innovation and School of Technology and Computing (STC), the Doctor of Information Technology (DIT) Forum is open to faculty, professionals, and students from any discipline, university, or professional organization. At the end of this quarter, DIT students can present their research project for their peers and faculty members to listen to. This Forum will provide opportunities for students, researchers, and practitioners to discuss the influence and impact of the applied computing on the future of our planet and our society
Event details
Date: Tuesday, Sep 16th, 2025
Time: 4:30PM-5:30PM PT
Contact: lenghiemminhhieu@cityuniversity.edu
Advisors
DR. Brian Maeng
Professor,
School of Technology & Computing (DS687)
School of Technology & Computing (DS687)
DR. Sam Chung
Dean,
School of Technology & Computing
School of Technology & Computing
Session Chairs
Anh Bui
Harrison Le
Namrata Vijay Mali
Presenters
Kellie Benefiel
The Point of No Return: How Far is Too Far in Cloud Sustainability Investments?
Course: RESR 694A-F
Description: This quantitative study addresses the lack of clear financial thresholds for sustainability investments in cloud computing by using regression and ANOVA to analyze publicly available data from three major US-based cloud providers from 2015 to 2025 to identify whether sustainability investments result in diminishing returns on economic value added (EVA).
George Bragg
Using Abstracted Weakness Enumeration to Predict Exploitation of Vulnerabilities
Course: RESR 694A-F
Description: As the number of software vulnerabilities rises year after year, many organizations struggle to determine which vulnerabilities should be prioritized for remediation under limited support budgets. Several attempts have been made to predict which vulnerabilities are more likely to be exploited by an attacker. The analysis presented here suggests a relatively simple indicator for prioritization which nonetheless correlates strongly with exploitation likelihood.
Scott Zhou
The Rise of Artificial Intelligence in Monitoring Remote Work: Impacts on Productivity, Privacy, and Workforce Dynamics in the Tech Industry
Course: RESR 694A-F
Description: Incorporating multi-agent AI systems for implementing AI monitoring tools within remote work environments in the tech industry.
Jemell Garris
Cybersecurity Culture in Higher Education: Organizational Barriers and Enablers to Incident Response
Course: RESR 694A-F
Description: This research explores how organizational culture influences cybersecurity incident management in U.S. higher education institutions. Using the Organizational Culture Model (OCM) and Technology Acceptance Model (TAM), the study examines cultural enablers and barriers that shape policy compliance, communication, and incident response effectiveness. By surveying institutions across the country, this work seeks to identify best practices that foster a proactive security culture, improve incident reporting, and strengthen institutional resilience against cyber threats.
Eli Taylor
Improving Hospital ER Efficiency through Federated Machine Learning: A Simulation Approach
Course: DIT 650A-C
Description: Avoidable emergency room use raises healthcare costs, waiting times, and resource strain, yet predicting it for individual patients is difficult due to limited real-time data. Federated learning offers a solution by securely sharing model parameters between facilities without exposing patient data. This study will simulate a federated framework across two institutions, applying differential privacy, homomorphic encryption, and SHAP for explainability. The goal is to assess feasibility, performance tradeoffs, and provide guidance for secure collaborative prediction of avoidable ER visits.
Stanley George
Automated Cyber Security Auditing Techniques
Course: DIT 650A-C
Description: This paper examines how AI, ML, and NLP can automate cybersecurity audits, enabling faster detection of compliance gaps, vulnerabilities, and misconfigurations while reducing human error.
Andre Neptune
Thermal Runaway in Electric Vehicle Lithium-Ion Batteries: Predictive Modeling of Two-Phase Gassing Under Variable Atmospheric Pressure
Course: DIT 650A-C
Description: My dissertation explores how low atmospheric pressure at high altitudes, an often overlooked factor in EV research, contributes to battery degradation and thermal runaway. Using predictive modeling with multiple tools, including a schema-driven architecture with LSTM and Random Forest Regression, I analyze sensor data to track two-phase gassing behavior. This work integrates atmospheric pressure into safety models, helping improve EV reliability in diverse real-world conditions.
Schedule
Main Room & Session 01
Session 02
Session 03
Main Room & Session 01
| 4:30 PM – 4:35 PM | Greeting & Announcement _____________________________________________ | Advisor: Brian Maeng / Sam Chung Main Chair: Harrison Le Teams link for Main Session / Session 1: Session 01 |
| 4:35 PM – 4:55 PM | Presenter 1: Eli Taylor Topic: Improving Hospital ER Efficiency through Federated Machine _____________________________________________ | Chair: Harrison Le Presentation: 15 Minutes Q&A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Stanley George Topic: Automated Cyber Security Auditing Techniques ____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Andre Neptune Topic: Thermal Runaway in Electric Vehicle Lithium-Ion Batteries: _____________________________________________ | |
Session 02
Chair: Namrata Vijay Mali Presentation: 15 Minutes Q&A: 5 minutes Link: Session 02 | ||
| 4:35 PM – 4:55 PM | Presenter 1: Kellie Benefiel Topic: The Point of No Return: How Far is Too Far in _____________________________________________ | |
| 4:55 PM – 5:15 PM | Presenter 2: George Bragg Topic: Using Abstracted Weakness Enumeration to Predict Exploitation of Vulnerabilities _____________________________________________ |
Session 03
Chair: Anh Bui Presentation: 15 Minutes Q&A: 5 minutes Link: Session 03 | ||
| 4:35 PM – 4:55 PM | Presenter 1: Scott Zhou Topic: The Rise of Artificial Intelligence in Monitoring _____________________________________________ | |
| 4:55 PM – 5:15 PM | Presenter 2: Jemell Garris Topic: Cybersecurity Culture in Higher Education: _____________________________________________ |