| Machine learning algorithms in quantum computing: A survey SB Ramezani, A Sommers, HK Manchukonda, S Rahimi, A Amirlatifi 2020 International joint conference on neural networks (IJCNN), 1-8, 2020 | 101 | 2020 |
| Characterizing the CO2-brine interfacial tension (IFT) using robust modeling approaches: A comparative study A Kamari, M Pournik, A Rostami, A Amirlatifi, AH Mohammadi Journal of Molecular Liquids 246, 32-38, 2017 | 53 | 2017 |
| Potential CO2 leakage from geological storage sites: advances and challenges K Mortezaei, A Amirlatifi, E Ghazanfari, F Vahedifard Environmental geotechnics 8 (1), 3-27, 2018 | 46 | 2018 |
| Variation of pore-network, mechanical and hydrological characteristics of sandstone specimens through CO2-enriched brine injection M Foroutan, E Ghazanfari, A Amirlatifi, N Perdrial Geomechanics for Energy and the Environment 26, 100217, 2021 | 34 | 2021 |
| A novel compartmental model to capture the nonlinear trend of COVID-19 SB Ramezani, A Amirlatifi, S Rahimi Computers in Biology and Medicine 134, 104421, 2021 | 29 | 2021 |
| Variation of failure properties, creep response and ultrasonic velocities of sandstone upon injecting CO2-enriched brine M Foroutan, E Ghazanfari, A Amirlatifi Geomechanics and Geophysics for Geo-Energy and Geo-Resources 7, 1-30, 2021 | 19 | 2021 |
| Scalability, explainability and performance of data-driven algorithms in predicting the remaining useful life: A comprehensive review SB Ramezani, L Cummins, B Killen, R Carley, A Amirlatifi, S Rahimi, ... Ieee Access 11, 41741-41769, 2023 | 17 | 2023 |
| Recovery factor prediction for deepwater Gulf of Mexico oilfields by integration of dimensionless numbers with data mining techniques P Srivastava, X Wu, A Amirlatifi, D Devegowda SPE Intelligent Energy International Conference and Exhibition, SPE-181024-MS, 2016 | 15 | 2016 |
| General thermal conductivity function for unsaturated soils considering effects of water content, temperature, and confining pressure T Duc Cao, S Kumar Thota, F Vahedifard, A Amirlatifi Journal of Geotechnical and Geoenvironmental Engineering 147 (11), 04021123, 2021 | 14 | 2021 |
| A Survey of HMM-based Algorithms in Machinery Fault Prediction S Bakhtiari Ramezani, B Killen, L Cummins, S Rahimi, A Amirlatifi, ... IEEE Symposium Series on Computational Intelligence (SSCI), 1-9, 2021 | 13 | 2021 |
| Coupled geomechanical reservoir simulation A Amirlatifi Missouri University of Science and Technology, 2013 | 12 | 2013 |
| Evolution of fracture permeability and aperture during CO2 storage in varyingly cemented sedimentary rocks M Foroutan, E Ghazanfari, A Amirlatifi, O Moradian Geomechanics for Energy and the Environment 32, 100289, 2022 | 9 | 2022 |
| Role of geometrical influences of CO2 sequestration in anticlines A Amirlatifi, A Eckert, R Nygaard, B Bai, X Liu, M Paradeis ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2012-255, 2012 | 7 | 2012 |
| Machine learning assisted geosteering SC Bartosik, A Amirlatifi ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2020-1662, 2020 | 6 | 2020 |
| Reusing abandoned natural gas storage sites for compressed air energy storage A Amirlatifi, F Vahedifard, M Degtyareva, RN Turner, B Sullivan, R Santra, ... Environmental Geotechnics 8 (1), 55-68, 2019 | 6 | 2019 |
| Predictive self-healing of web services using health score M Sharifi, SB Ramezani, A Amirlatifi Journal of Web Engineering, 079-092, 2012 | 6 | 2012 |
| Estimation of Reservoir Uplift, Seismicity and Failure Likelihood during CO2 Injection through Coupled Reservoir Simulation A Amirlatifi, A Eckert, R Nygaard, B Bai SPE Canada Unconventional Resources Conference?, SPE-148946-MS, 2011 | 6 | 2011 |
| From Questions to Insightful Answers: Building an Informed Chatbot for University Resources S Neupane, E Hossain, J Keith, H Tripathi, F Ghiasi, NA Golilarz, ... arXiv preprint arXiv:2405.08120, 2024 | 5 | 2024 |
| MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models S Neupane, S Mitra, S Mittal, NA Golilarz, S Rahimi, A Amirlatifi arXiv preprint arXiv:2403.08607, 2024 | 5 | 2024 |
| Explainable Machinery Faults Prediction Using Ensemble Tree Classifiers: Bagging or Boosting? SB Ramezani, A Amirlatifi, T Kirby, M Seale, S Rahimi Annual Conference of the PHM Society 13 (1), 2021 | 4 | 2021 |
Shahram RahimiDepartment Head and Professor, Mississippi State UniversityEmail verificata su cse.msstate.edu