Milad Ramezankhani

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Transfer Learning

Qualitative Physics

Heterogeneous Data

Multimedia Learning Environment

Top Venues

Int. J. Comput. Integr. Manuf.

Publications

Milad Ramezankhani, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming. Int. J. Comput. Integr. Manuf. 37 (1-2) (2024)
Milad Ramezankhani, Anirudh Deodhar, Rishi Yash Parekh, Dagnachew Birru
An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study. CoRR (2024)
Milad Ramezankhani, Abbas S. Milani
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing. CoRR (2023)
Debangsha Sarkar, Milad Ramezankhani, Apurva Narayan, Abbas S. Milani
Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL). Comput. Ind. 151 (2023)
Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. CoRR (2022)
Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. ICPS (2022)
Hamed Mirzaei, Milad Ramezankhani, Emily Earl, Nishat Tasnim, Abbas S. Milani, Mina Hoorfar
Investigation of a Sparse Autoencoder-Based Feature Transfer Learning Framework for Hydrogen Monitoring Using Microfluidic Olfaction Detectors. Sensors 22 (20) (2022)
Mohamad Khajezade, Milad Ramezankhani, Fatemeh Hendijani Fard, Mohamed S. Shehata, Abbas S. Milani
Toward Using Few-Shot Learning for Prediction of Complex In-Service Defects of Composite Products: A case Study. CCECE (2021)
Milad Ramezankhani, Apurva Narayan, Rudolf J. Seethaler, Abbas S. Milani
An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing. ICPS (2021)