| Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing M Ramezankhani, B Crawford, A Narayan, H Voggenreiter, R Seethaler, ... Journal of Manufacturing Systems 59, 345-354, 2021 | 48 | 2021 |
| The trans-kingdom battle between donor and recipient gut microbiome influences fecal microbiota transplantation outcome N Kazemian, M Ramezankhani, A Sehgal, FM Khalid, AHZ Kalkhoran, ... Scientific reports 10 (1), 18349, 2020 | 37 | 2020 |
| Evolving Magnetically Levitated Plasma Proteins Detects Opioid Use Disorder as a Model Disease AA Ashkarran, T Olfatbakhsh, M Ramezankhani, RC Crist, WH Berrettini, ... Advanced Healthcare Materials, 1901608, 2020 | 26 | 2020 |
| An overview of nanoparticle protein corona literature MJ Hajipour, R Safavi‐Sohi, S Sharifi, N Mahmoud, AA Ashkarran, E Voke, ... Small 19 (36), 2301838, 2023 | 23 | 2023 |
| A multi-objective Gaussian process approach for optimization and prediction of carbonization process in carbon fiber production under uncertainty M Ramezankhani, B Crawford, H Khayyam, M Naebe, R Seethaler, ... Advanced Composites and Hybrid Materials 2, 444-455, 2019 | 20 | 2019 |
| A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study M Ramezankhani, A Nazemi, A Narayan, H Voggenreiter, M Harandi, ... 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems …, 2022 | 15 | 2022 |
| An active transfer learning (ATL) framework for smart manufacturing with limited data: case study on material transfer in composites processing M Ramezankhani, A Narayan, R Seethaler, AS Milani 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems …, 2021 | 15 | 2021 |
| Digital twining of an automated fabric draping process for industry 4.0 applications: Part imulti-body simulation and finite element modeling H Montazerian, R Sourki, M Ramezankhani, A Rashidi, M Koerber, ... CAMX 2019: composites and advanced materials expo, 2019 | 6 | 2019 |
| Investigation of a sparse autoencoder-based feature transfer learning framework for hydrogen monitoring using microfluidic olfaction detectors H Mirzaei, M Ramezankhani, E Earl, N Tasnim, AS Milani, M Hoorfar Sensors 22 (20), 7696, 2022 | 4 | 2022 |
| Development of a computationally efficient model of the heating phase in thermoforming process based on the experimental radiation pattern of heaters H Hosseinionari, M Ramezankhani, R Seethaler, AS Milani Journal of Manufacturing and Materials Processing 7 (1), 48, 2023 | 3 | 2023 |
| Toward using few-shot learning for prediction of complex in-service defects of composite products: a case study M Khajezade, M Ramezankhani, FH Fard, MS Shehata, A Milani 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2021 | 2 | 2021 |
| Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL) D Sarkar, M Ramezankhani, A Narayan, AS Milani Computers in Industry 151, 103989, 2023 | 1 | 2023 |
| Towards a Due Foundation for Image Based Discrimination of Multiple Sclerosis Disease Types Using Magnetic Levitation and Vision Intelligence M Ramezankhani, T Olfatbakhsh, A Ashkarran, D Abou Zeki, I Radu, ... Preprints, 2022 | 1 | 2022 |
| Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming M Ramezankhani, M Harandi, R Seethaler, AS Milani International Journal of Computer Integrated Manufacturing 37 (1-2), 18-36, 2024 | | 2024 |
| An Overview of Nanoparticle Protein Corona Literature (Small 36/2023) MJ Hajipour, R Safavi‐Sohi, S Sharifi, N Mahmoud, AA Ashkarran, E Voke, ... Small 19 (36), 2370293, 2023 | | 2023 |
| A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing M Ramezankhani, AS Milani arXiv preprint arXiv:2308.06447, 2023 | | 2023 |
| Bayesian diagnostic learning for a costly composite manufacturing: critical role of dataset size and auxiliary in situ measurements B Crawford, M Ramezankhani, AS Milani The International Journal of Advanced Manufacturing Technology 127 (7), 3729 …, 2023 | | 2023 |
| Data-efficient and uncertainty-aware hybrid machine learning in advanced composites manufacturing M Ramezankhani University of British Columbia, 2023 | | 2023 |
| Fecal microbiota transplantation efficacy for Clostridium difficile infection: A trans-kingdom battle between donor and recipient gut microbiomes N Kazemian, M Ramezankhani, A Sehgal, FM Khalid, AHZ Kalkhoran, ... bioRxiv, 2020.05. 27.120386, 2020 | | 2020 |
| Multi-objective Gaussian process approach for robust optimization and prediction of carbonization process M Ramezankhani University of British Columbia, 2017 | | 2017 |
Abbas S. MilaniProfessor of Mechanical Engineering, UBC, Composites Research Network (CRN), MMRIVerified email at ubc.ca
