9 citations · 43 across the 20 of their papers we have counts for
22 papers
From Prompts to Silicon: Scaling LLM-Assisted Chip Design with the AI Hardware Design League
Parsa Mirfasihi, Harish Kumar Dharavath, Muhtasim Alam Chowdhury +5
The semiconductor workforce shortage has renewed interest in making chip design accessible to students without conventional very-large-scale integration (VLSI) training. We present…
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…
Can Agents Secure Hardware? Evaluating Agentic LLM-Driven Obfuscation for IP Protection
Sujan Ghimire, Parsa Mirfasihi, Muhtasim Alam Chowdhury +6
The globalization of integrated circuit (IC) design and manufacturing has increased the exposure of hardware intellectual property (IP) to untrusted stages of the supply chain, rai…
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…
Towards a Zero Trust Decentralized Identity Management System for Secure Autonomous Vehicles
Amal Yousseef, Shalaka Satam, Banafsheh Saber Latibari +3
Autonomous vehicles (AVs) rely on pervasive connectivity to enable cooperative and safety-critical applications, but this connectivity also exposes them to a wide range of cybersec…
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…
Transformers for Secure Hardware Systems: Applications, Challenges, and Outlook
Banafsheh Saber Latibari, Najmeh Nazari, Avesta Sasan +4
The rise of hardware-level security threats, such as side-channel attacks, hardware Trojans, and firmware vulnerabilities, demands advanced detection mechanisms that are more intel…
Large Language Models and Attention-Based AI for Hardware Design and Security: Progress, Challenges, and Opportunities
Sujan Ghimire, Parsa Mirfasihi, Muhtasim Alam Chowdhury +9
Recent advances in attention-based artificial intelligence (AI) models have unlocked vast potential to automate digital hardware design while enhancing and strengthening security m…
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…
AI/ML Based Detection and Categorization of Covert Communication in IPv6 Network
Mohammad Wali Ur Rahman, Yu-Zheng Lin, Carter Weeks +6
The flexibility and complexity of IPv6 extension headers allow attackers to create covert channels or bypass security mechanisms, leading to potential data breaches or system compr…
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…
GPS-IDS: An Anomaly-based GPS Spoofing Attack Detection Framework for Autonomous Vehicles
Murad Mehrab Abrar, Amal Youssef, Raian Islam +6
Autonomous Vehicles (AVs) heavily rely on sensors and communication networks like Global Positioning System (GPS) to navigate autonomously. Prior research has indicated that networ…
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…
Quantized Transformer Language Model Implementations on Edge Devices
Mohammad Wali Ur Rahman, Murad Mehrab Abrar, Hunter Gibbons Copening +4
Large-scale transformer-based models like the Bidirectional Encoder Representations from Transformers (BERT) are widely used for Natural Language Processing (NLP) applications, whe…
A BERT-based Deep Learning Approach for Reputation Analysis in Social Media
Mohammad Wali Ur Rahman, Sicong Shao, Pratik Satam +4
Social media has become an essential part of the modern lifestyle, with its usage being highly prevalent. This has resulted in unprecedented amounts of data generated from users in…
AI-based Arabic Language and Speech Tutor
Sicong Shao, Saleem Alharir, Salim Hariri +3
In the past decade, we have observed a growing interest in using technologies such as artificial intelligence (AI), machine learning, and chatbots to provide assistance to language…
Spatio-Temporal Processing for Automatic Vehicle Detection in Wide-Area Aerial Video
Xin Gao, Jeno Szep, Pratik Satam +3
Vehicle detection in aerial videos often requires post-processing to eliminate false detections. This paper presents a spatio-temporal processing scheme to improve automatic vehicl…