Publications

S. Bakhtiari Ramezani, A. Amirlatifi, S. Rahimi, M. Seale, “Arrhythmia Detection through Tokenizing ECG Signals: A Novel Framework for Signature Extraction using Self-supervised Motif Discovery”, Techrxiv, 2024.

Vahid Daghigh, S. Bakhtiari Ramezani, Hamid Daghigh, Thomas E Lacy Jr, “Explainable artificial intelligence prediction of defect characterization in composite materials”, Composites Science and Technology, 256, 110759, 2024.

A. Summers, S. Bakhtiari Ramezani, L. Cummins, S. Mitta, S. Rahimi, M. Seale, J. Jaboure, “Generating Synthetic Time Series Data for Cyber-Physical Systems,” arXive, 2024.

L. Cummins, A. Sommers, S. Bakhtiari Ramezani, S. Mittal, J. Jabour, M. Seale, S. Rahimi “Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities”, IEEE Access, 2024

P. Penmetsa, S. Okafor, E. Adanu, M. Hudnall, S. Bakhtiari Ramezani, S. Holiday, S. Jones, “How is automated and self-driving vehicle technology presented in the news media?”, in Technology in Society, 2023, 102290.

S. Bakhtiari Ramezani et. al., “Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review”, in IEEE Access, DOI: 10.1109/ACCESS.2023.3267960.

L. Cummins, B. Killen, S. Bakhtiari Ramezani, S. Rahimi, M. Seale, S. Mittal, “A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries”, FLAIRS-36, May 14-17, 2023.

A. Amirlatifi, S. Bakhtiari Ramezani, A. Ovalle, I. Mohamed, O. Abou-Sayed, “General Considerations for the Use of Offshore Depleted Reservoirs for CO₂ Sequestration”, SPE Annual Technical Conference and Exhibition, 2022, DOI: 10.2118/210059-MS.

K. T. Baghaei, A. Payandeh, P. Fayyazsanavi, S. Rahimi, Z. Chen, S. Bakhtiari Ramezani, “Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges”, IEEE Access, 2023, DOI:10.48550/arXiv.2211.14732.

S. Bakhtiari Ramezani, et. al., “Explainable Machinery Faults Prediction Using Ensemble Tree Classifiers: Bagging or Boosting,” Annual Conference of the PHM Society 13, 2021, DOI: 0.36001/phmconf.2021.v13i1.3063. (Paper with Oral Presentations)

S. Bakhtiari Ramezani et. al., “Similarity Based Methods for Faulty Pattern Detection in Predictive Maintenance,” 8^th Annual Conf. on Computational Science & Computational Intelligence (CSCI’21), 2021, DOI: 10.1109/CSCI54926.2021.00108. (Paper with Oral Presentations)

S. Bakhtiari Ramezani, B. Killen, L. Cummins, S. Rahimi, A. Amirlatifi and M. Seale, “A Survey of HMM-based Algorithms in Machinery Fault Prediction,” IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-9, 2021, DOI: 10.1109/SSCI50451.2021.9659838. (Paper with Oral Presentations)

S. Bakhtiari Ramezani, et. al., “Empowering Compartmental Modeling with Mobility and Shelter-In-Place Analysis,” Journal of Frontiers in Future Transportation, 2021, DOI: 10.3389/ffutr.2021.646751

S. Bakhtiari Ramezani, et. al., “A Novel Compartmental Model to Capture the Nonlinear Trend of COVID-19”, Journal of Computer in Biology and Medicine, DOI: 10.1016/j.compbiomed.2021.104421, 2021.

S. Bakhtiari Ramezani, et. al., “Machine Learning Algorithms in Quantum Computing: A Survey,” 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2020, DOI: 10.1109/IJCNN48605.2020.9207714. (Paper with Oral Presentations)

M. Sharifi, S. Bakhtiari Ramezani, A. Amirlatifi, “Predictive Self‐Healing of Web Services Using Health Score,” Journal of Web Engineering 11(1): 79-92, 2012.