Milad Ramezankhani

发表

Fecal microbiota transplantation efficacy for Clostridium difficile infection: A trans-kingdom battle between donor and recipient gut microbiomes

G. Wong, D. Kao, Apurva Narayan, 2020, bioRxiv.

The trans-kingdom battle between donor and recipient gut microbiome influences fecal microbiota transplantation outcome

G. Wong, D. Kao, Apurva Narayan, 2020, Scientific Reports.

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

A. Milani, M. Hoorfar, E. Earl, 2022, Sensors.

Evolving Magnetically Levitated Plasma Proteins Detects Opioid Use Disorder as a Model Disease

A. Milani, M. Mahmoudi, W. Berrettini, 2020, Advanced healthcare materials.

Multi-objective Gaussian process approach for robust optimization and prediction of carbonization process

Milad Ramezankhani, Milad Ramezankhani, 2017 .

Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing

Abbas S. Milani, Rudolf Seethaler, Bryn Crawford, 2021, Journal of Manufacturing Systems.

A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study

Mehrtash Harandi, A. Milani, Apurva Narayan, 2022, 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS).

An Overview of Nanoparticle Protein Corona Literature

A. Milani, M. Landry, V. Serpooshan, 2023, Small.

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

A. Milani, Milad Ramezankhani, 2023, Composites Part B: Engineering.

Bayesian diagnostic learning for a costly composite manufacturing: critical role of dataset size and auxiliary in situ measurements

A. Milani, B. Crawford, Milad Ramezankhani, 2023, The International Journal of Advanced Manufacturing Technology.

A multi-objective Gaussian process approach for optimization and prediction of carbonization process in carbon fiber production under uncertainty

Abbas S. Milani, Hamid Khayyam, Minoo Naebe, 2019, Advanced Composites and Hybrid Materials.

Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming

Mehrtash Harandi, R. Seethaler, Milad Ramezankhani, 2023, International journal of computer integrated manufacturing (Print).

An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing

Abbas S. Milani, Rudolf Seethaler, Apurva Narayan, 2021, 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS).