9 citations · 29 across the 10 of their papers we have counts for
11 papers
Federated Cybersecurity Testbed as a Service (FCTaaS): A framework to federate cybersecurity testbeds
Josh Dean, Yu-Zheng Lin, John Paul Martin Encinas +9
Rapid technological change is reshaping society through emerging domains such as autonomous vehicles and smart manufacturing, creating new research challenges in system design, ope…
Exploring Silicon-Based Societies: An Early Study of the Moltbook Agent Community
Yu-Zheng Lin, Bono Po-Jen Shih, Hsuan-Ying Alessandra Chien +6
The rapid emergence of autonomous large language model agents has given rise to persistent, large-scale agent ecosystems whose collective behavior cannot be adequately understood t…
LLM-MC-Affect: LLM-Based Monte Carlo Modeling of Affective Trajectories and Latent Ambiguity for Interpersonal Dynamic Insight
Yu-Zheng Lin, Bono Po-Jen Shih, John Paul Martin Encinas +7
Emotional coordination is a core property of human interaction that shapes how relational meaning is constructed in real time. While text-based affect inference has become increasi…
Integrating Generative AI into Cybersecurity Education: A Study of OCR and Multimodal LLM-assisted Instruction
Karan Patel, Yu-Zheng Lin, Gaurangi Raul +6
This full paper describes an LLM-assisted instruction integrated with a virtual cybersecurity lab platform. The digital transformation of Fourth Industrial Revolution (4IR) systems…
LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement
Yu-Zheng Lin, Sujan Ghimire, Abhiram Nandimandalam +8
The rapid growth of hardware vulnerabilities has created an urgent need for systematic and scalable analysis methods. Unlike software flaws, which are often patchable post-deployme…
RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring
Gaurangi Raul, Yu-Zheng Lin, Karan Patel +6
The rapid digital transformation of Fourth Industrial Revolution (4IR) systems is reshaping workforce needs, widening skill gaps, especially for older workers. With growing emphasi…
Personalized Education with Generative AI and Digital Twins: VR, RAG, and Zero-Shot Sentiment Analysis for Industry 4.0 Workforce Development
Yu-Zheng Lin, Karan Petal, Ahmed H Alhamadah +6
The Fourth Industrial Revolution (4IR) technologies, such as cloud computing, machine learning, and AI, have improved productivity but introduced challenges in workforce training a…
DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework
Yu-Zheng Lin, Qinxuan Shi, Zhanglong Yang +5
Digital twin (DT) technology enables real-time simulation, prediction, and optimization of physical systems, but practical deployment faces challenges from high data requirements,…
PRISM: A Personalized, Rapid, and Immersive Skill Mastery framework for personalizing experiential learning through Generative AI
Yu-Zheng Lin, Karan Patel, Ahmed Hussain J Alhamadah +7
The rise of generative AI (gen-AI) is transforming industries, particularly in education and workforce training. This chapter introduces PRISM (Personalized, Rapid, and Immersive S…
Photogrammetry for Digital Twinning Industry 4.0 (I4) Systems
Ahmed Alhamadah, Muntasir Mamun, Henry Harms +5
The onset of Industry 4.0 is rapidly transforming the manufacturing world through the integration of cloud computing, machine learning (ML), artificial intelligence (AI), and unive…
HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion
Yu-Zheng Lin, Muntasir Mamun, Muhtasim Alam Chowdhury +11
The escalating complexity of modern computing frameworks has resulted in a surge in the cybersecurity vulnerabilities reported to the National Vulnerability Database (NVD) by pract…