9 citations · 29 across the 18 of their papers we have counts for
21 papers
HAWC-Leak: Heterogeneous Architecture Workload Classification utilizing Side-Channel Leakage
Muhtasim Alam Chowdhury, Arthur Kim, Rozhin Yasaei +1
Modern heterogeneous computing platforms, which integrate general-purpose processors with specialized accelerators such as FPGAs, have become the standard for high-performance and…
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…
LIB-TRAP: Standard Cell Library Hardware Trojan Risk Assessment and Prevention
Harish Kumar Dharavath, Md Muhtasim Alam Chowdhury, Rozhin Yasaei +1
Vulnerabilities inherent to the fabless semiconductor manufacturing model have significantly increased the risk of malicious Hardware Trojan (HT) insertion, posing severe threats t…
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…
MOTION: ML-Assisted On-Device Low-Latency Motion Recognition
Veeramani Pugazhenthi, Wei-Hsiang Chu, Junwei Lu +5
The use of tiny devices capable of low-latency gesture recognition is gaining momentum in everyday human-computer interaction and especially in medical monitoring fields. Embedded…
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…
Reliability of Capacitive Read in Arrays of Ferroelectric Capacitors
Luca Fehlings, Muhtasim Alam Chowdhury, Banafsheh Saber Latibari +2
The non-destructive capacitance read-out of ferroelectric capacitors (FeCaps) based on doped HfO metal-ferroelectric-metal (MFM) structures offers the potential for low-power a…
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…
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,…
Autonomous Vehicle Security: A Deep Dive into Threat Modeling
Amal Yousseef, Shalaka Satam, Banafsheh Saber Latibari +4
Autonomous vehicles (AVs) are poised to revolutionize modern transportation, offering enhanced safety, efficiency, and convenience. However, the increasing complexity and connectiv…
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…
Automated Hardware Logic Obfuscation Framework Using GPT
Banafsheh Saber Latibari, Sujan Ghimire, Muhtasim Alam Chowdhury +5
Obfuscation stands as a promising solution for safeguarding hardware intellectual property (IP) against a spectrum of threats including reverse engineering, IP piracy, and tamperin…
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…