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 projects to their peers and faculty members. This Forum will provide opportunities for students, researchers, and practitioners to discuss the influence and impact of applied computing on the future of our planet and our society
Event details
Date: Thursday, Mar 26th, 2026
Time: 4:30PM-5:30PM PT
Contact: lenghiemminhhieu@cityuniversity.edu
Advisors
DR. Brian Maeng
Professor,
School of Technology & Computing
School of Technology & Computing
Session Chairs
Harrison Le
Presenters
Martin Bong
Securing Digital Identity and Preserving Privacy in the Gig Economy: A STRIDE–LINDDUN-Based Threat Model of SSI Interoperability in Peer-to-Platform Interactions
Course: RESR 694C
Description: This study examines how to secure digital identity and preserve privacy in the gig economy by analyzing Self-Sovereign Identity (SSI) systems used in peer-to-platform interactions. As gig workers increasingly depend on digital platforms, SSI enables greater user control over personal data but also introduces new security and privacy vulnerabilities, particularly in interoperable environments.
Dr. Andreja Mihailovic
Cyber Leadership in the Age of AI: Strategic Governance and Regulatory Alignment
President of the Women4Cyber Montenegro
Description: This presentation addresses cybersecurity as a core governance and risk management priority at the executive level. It examines how leadership structures can operationalize cybersecurity oversight through the application of the NIST Cybersecurity Framework (including its governance dimension), while ensuring alignment with EU regulatory requirements, particularly the NIS2 Directive.
The session further explores the growing interdependence between cybersecurity, artificial intelligence governance, and critical infrastructure protection, with a focus on accountability, decision-making under uncertainty, and regulatory exposure. It also situates cybersecurity within its broader geopolitical context, including cross-border risk dynamics, regulatory influence, and digital sovereignty considerations relevant to both EU and transatlantic environments.
Kiran Kumar Vejendla
Real-Time Predictive Maintenance in Industrial IoT Systems
Course: RESR 694F
Description: The Industrial Internet of Things (IIoT) has enabled real-time monitoring and predictive maintenance but introduced challenges in data privacy, latency, and scalability. Traditional centralized machine learning increases data exposure and network overhead by transmitting raw data to servers. This study proposes a privacy-preserving framework integrating Federated Learning (FL) and Edge Computing (EC) to enable decentralized, real-time predictive maintenance. The architecture includes edge, communication, aggregation, and orchestration layers for secure and efficient model training. Experimental results on the AI4I 2020 dataset show that FedAvg achieved 94.7% accuracy and near-centralized performance, with no significant loss under secure settings. The framework improved recall, reduced latency by up to 60%, and demonstrated strong scalability, supporting Industry 4.0 and 5.0 initiatives.
Schedule
Main Room
Main Room
| 4:30 PM – 4:35 PM | Greeting & Announcement _____________________________________________ | Advisor: Brian Maeng / Sam Chung / Morgan Zantua Main Chair: Harrison Le Teams link: Join here Presentation: 15 Minutes / flexible Q&A: 5 minutes / flexible |
| 4:35 PM – 4:55 PM | Session 1: Dr. Andreja Mihailovic Topic: Cyber Leadership in the Age of AI: Strategic Governance and Regulatory Alignment _____________________________________________ | |
| 4:55 PM – 5:15 PM | Session 2: Martin Bong Topic: Securing Digital Identity and Preserving Privacy in the Gig Economy: A STRIDE–LINDDUN-Based Threat Model of SSI Interoperability in Peer-to-Platform Interactions ____________________________________________ | |
| 5:15 PM – 5:35 PM | Session 3: Kiran Kumar Vejendla Topic: Real-Time Predictive Maintenance in Industrial IoT Systems | |