19 citations · 37 across the 7 of their papers we have counts for
8 papers
Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process-Structure-Property Prediction
Jingzhan Ge, Ajeeth Vellore, Ajinkya Palwe +5
Multiphoton photoreduction enables high-fidelity fabrication of complex 3D microstructures, yet reliable process-structure-property (PSP) prediction remains difficult because the a…
Domain-Aware Hyperdimensional Computing for Edge Smart Manufacturing
Fardin Jalil Piran, Anandkumar Patel, Rajiv Malhotra +1
Smart manufacturing requires on-device intelligence that meets strict latency and energy budgets. HyperDimensional Computing (HDC) offers a lightweight alternative by encoding data…
Knowledge Graph Fusion with Large Language Models for Accurate, Explainable Manufacturing Process Planning
Danny Hoang, David Gorsich, Matthew P. Castanier +1
Precision process planning in Computer Numerical Control (CNC) machining demands rapid, context-aware decisions on tool selection, feed-speed pairs, and multi-axis routing, placing…
Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models
Kiarash Naghavi Khanghah, Zhiling Chen, Lela Romeo +4
Additive manufacturing enables the fabrication of complex designs while minimizing waste, but faces challenges related to defects and process anomalies. This study presents a novel…
Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?
Zhiling Chen, Hanning Chen, Mohsen Imani +1
In industrial settings, the accurate detection of anomalies is essential for maintaining product quality and ensuring operational safety. Traditional industrial anomaly detection (…
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
Fardin Jalil Piran, Zhiling Chen, Mohsen Imani +1
Federated Learning (FL) has become a key method for preserving data privacy in Internet of Things (IoT) environments, as it trains Machine Learning (ML) models locally while transm…
Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces
Zhiling Chen, Hanning Chen, Mohsen Imani +2
Workplace accidents due to personal protective equipment (PPE) non-compliance raise serious safety concerns and lead to legal liabilities, financial penalties, and reputational dam…
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
Fardin Jalil Piran, Prathyush P. Poduval, Hamza Errahmouni Barkam +2
Machine Learning (ML) models integrated with in-situ sensing offer transformative solutions for defect detection in Additive Manufacturing (AM), but this integration brings critica…