3 citations · 6 across the 6 of their papers we have counts for
6 papers
Product-Aware Deep Autoencoders for Robust Process Monitoring in Multi-Product Cyber-Physical Systems
MD Shafikul Islam, Jordan Carden
As Industry 4.0 accelerates the integration of Cyber-Physical Systems (CPS) in manufacturing, robust anomaly detection has become critical for ensuring process safety and security.…
Feature-Aware Anisotropic Local Differential Privacy for Utility-Preserving Graph Representation Learning in Metal Additive Manufacturing
MD Shafikul Islam, Mahathir Mohammad Bappy, Saifur Rahman Tushar +1
Metal additive manufacturing (AM) enables the fabrication of safety-critical components, but reliable quality assurance depends on high-fidelity sensor streams containing proprieta…
A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization
Azmine Toushik Wasi, Mahfuz Ahmed Anik, Abdur Rahman +3
Supply chain management is growing increasingly complex due to globalization, evolving market demands, and sustainability pressures, yet traditional systems struggle with fragmente…
Graph Neural Networks for Supply Chain Management: A Framework and Real World Benchmark
Azmine Toushik Wasi, MD Shafikul Islam, Adipto Raihan Akib +1
Graph Neural Networks (GNNs) have recently gained traction in transportation, bioinformatics, language and image processing, but research on their application to supply chain manag…
SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Azmine Toushik Wasi, MD Shafikul Islam, Adipto Raihan Akib
Graph Neural Networks (GNNs) have gained traction across different domains such as transportation, bio-informatics, language processing, and computer vision. However, there is a no…
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
MD Shafikul Islam, Azmine Toushik Wasi
Inventory Routing Problem (IRP) is a crucial challenge in supply chain management as it involves optimizing efficient route selection while considering the uncertainty of inventory…