Milad Ramezankhani

15 papers Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study. CoRR Janak M. Patel, Milad Ramezankhani, Anirudh Deodhar, Dagnachew Birru
2025	J	`jnl`	An advanced physics-informed neural operator for comprehensive design optimization of highly-nonlinear systems: An aerospace composites processing case study. Eng. Appl. Artif. Intell. Milad Ramezankhani, Anirudh Deodhar, Rishi Yash Parekh, Dagnachew Birru
2025	J	`jnl`	DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting. CoRR Owais Ahmad, Milad Ramezankhani, Anirudh Deodhar
2025	J	`jnl`	GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations. CoRR Milad Ramezankhani, Janak M. Patel, Anirudh Deodhar, Dagnachew Birru
2025	J	`jnl`	State of Health Estimation of Batteries Using a Time-Informed Dynamic Sequence-Inverted Transformer. CoRR Janak M. Patel, Milad Ramezankhani, Anirudh Deodhar, Dagnachew Birru
2024	J	`jnl`	An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study. CoRR Milad Ramezankhani, Anirudh Deodhar, Rishi Yash Parekh, Dagnachew Birru
2024	J	`jnl`	FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition. CoRR Milad Ramezankhani, Rishi Yash Parekh, Anirudh Deodhar, Dagnachew Birru
2024	J	`jnl`	Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming. Int. J. Comput. Integr. Manuf. Milad Ramezankhani, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
2023	J	`jnl`	A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing. CoRR Milad Ramezankhani, Abbas S. Milani
2023	J	`jnl`	Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL). Comput. Ind. Debangsha Sarkar, Milad Ramezankhani, Apurva Narayan, Abbas S. Milani
2022	—	`conf`	A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. ICPS Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
2022	J	`jnl`	A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. CoRR Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
2022	J	`jnl`	Investigation of a Sparse Autoencoder-Based Feature Transfer Learning Framework for Hydrogen Monitoring Using Microfluidic Olfaction Detectors. Sensors Hamed Mirzaei, Milad Ramezankhani, Emily Earl, Nishat Tasnim, Abbas S. Milani, Mina Hoorfar
2021	—	`conf`	An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing. ICPS Milad Ramezankhani, Apurva Narayan, Rudolf J. Seethaler, Abbas S. Milani
2021	—	`conf`	Toward Using Few-Shot Learning for Prediction of Complex In-Service Defects of Composite Products: A case Study. CCECE Mohamad Khajezade, Milad Ramezankhani, Fatemeh Hendijani Fard, Mohamed S. Shehata, Abbas S. Milani