Milad Ramezankhani

According to our database1, Milad Ramezankhani authored at least 9 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
2025
0
1
2
3
1
2
2
1
1
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
An advanced physics-informed neural operator for comprehensive design optimization of highly-nonlinear systems: An aerospace composites processing case study.
Eng. Appl. Artif. Intell., 2025

2024
Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming.
Int. J. Comput. Integr. Manuf., February, 2024

FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition.
CoRR, 2024

2023
Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL).
Comput. Ind., October, 2023

A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing.
CoRR, 2023

2022
Investigation of a Sparse Autoencoder-Based Feature Transfer Learning Framework for Hydrogen Monitoring Using Microfluidic Olfaction Detectors.
Sensors, 2022

A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

2021
An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Toward Using Few-Shot Learning for Prediction of Complex In-Service Defects of Composite Products: A case Study.
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021


  Loading...