| Autonomous task dropping mechanism to achieve robustness in heterogeneous computing systems A Mokhtari, C Denninnart, MA Salehi 2020 IEEE International Parallel and Distributed Processing Symposium …, 2020 | 17 | 2020 |
| Efficient task pruning mechanism to improve robustness of heterogeneous computing systems C Denninnart, J Gentry, A Mokhtari, MA Salehi Journal of Parallel and Distributed Computing 142, 46-61, 2020 | 10 | 2020 |
| FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems A Mokhtari, MA Hossen, P Jamshidi, MA Salehi 2022 IEEE 15th International Conference on Cloud Computing (CLOUD), 459-468, 2022 | 8* | 2022 |
| Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge S Zobaed, A Mokhtari, JP Champati, M Kourouma, M Amini Salehi 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing …, 2022 | 6 | 2022 |
| IoT for Smart Operations in the Oil and Gas Industry: From Upstream to Downstream RF Hussain, A Mokhtari, A Ghalambor, MA Salehi Elsevier, 2022 | 6 | 2022 |
| E2C: A Visual Simulator to Reinforce Education of Heterogeneous Computing Systems A Mokhtari, D Rawls, T Huynh, J Green, MA Salehi 2023 IEEE International Parallel and Distributed Processing Symposium …, 2023 | 1 | 2023 |
| Quantitative analysis of the sequential initiation and simultaneous propagation of multiple fractures in shale gas/oil formations C Fu, B Guo, A Mokhtari Journal of Petroleum Science and Engineering 200, 108272, 2021 | 1 | 2021 |
| HEET: A Heterogeneity Measure to Quantify the Difference across Distributed Computing Systems A Mokhtari, S Ghafouri, P Jamshidi, MA Salehi arXiv preprint arXiv:2312.03235, 2023 | | 2023 |
Chavit DenninnartPost-Doc Researcher, University of Louisiana at LafayetteVerified email at louisiana.edu
