13 citations · 19 across the 6 of their papers we have counts for
8 papers
When the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data
Ahmadreza Eslaminia, Klara Nahrstedt, Chenhui Shao
An organization often holds too little labeled data to train a model that generalizes, and the records that would supply the rest sit with organizations that cannot release them. C…
LLM-ADAM: A Generalizable LLM Agent Framework for Pre-Print Anomaly Detection in Additive Manufacturing
Ahmadreza Eslaminia, Chuhan Cai, Cameron Smith +5
Additive manufacturing (AM) continues to transform modern manufacturing by enabling flexible, on-demand production of complex geometries across diverse industries. Fused filament f…
Adaptive Unknown Fault Detection and Few-Shot Continual Learning for Condition Monitoring in Ultrasonic Metal Welding
Ahmadreza Eslaminia, Kuan-Chieh Lu, Klara Nahrstedt +1
Ultrasonic metal welding (UMW) is widely used in industrial applications but is sensitive to tool wear, surface contamination, and material variability, which can lead to unexpecte…
QoS-QoE Translation with Large Language Model
Yingjie Yu, Mingyuan Wu, Ahmadreza Eslaminia +3
QoS-QoE translation is a fundamental problem in multimedia systems because it characterizes how measurable system and network conditions affect user-perceived experience. Although…
Multi-Modal Zero-Shot Prediction of Color Trajectories in Food Drying
Shichen Li, Ahmadreza Eslaminia, Chenhui Shao
Food drying is widely used to reduce moisture content, ensure safety, and extend shelf life. Color evolution of food samples is an important indicator of product quality in food dr…
FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks
Ahmadreza Eslaminia, Adrian Jackson, Beitong Tian +5
Fused Deposition Modeling (FDM) is a widely used additive manufacturing (AM) technique valued for its flexibility and cost-efficiency, with applications in a variety of industries…
Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding
Ahmadreza Eslaminia, Yuquan Meng, Klara Nahrstedt +1
Ultrasonic metal welding (UMW) is a key joining technology with widespread industrial applications. Condition monitoring (CM) capabilities are critically needed in UMW applications…
WeldMon: A Cost-effective Ultrasonic Welding Machine Condition Monitoring System
Beitong Tian, Kuan-Chieh Lu, Ahmadreza Eslaminia +3
Ultrasonic welding machines play a critical role in the lithium battery industry, facilitating the bonding of batteries with conductors. Ensuring high-quality welding is vital, mak…