| 2025 | CCGRID | CarbonDIS: Carbon-Aware DNN Inference Scheduling on Heterogeneous GPUs. | Seyed Morteza Nabavinejad, Weiwei Jia, Shubbhi Taneja, Tian Guo |
| 2022 | DSD | Inference Time Reduction of Deep Neural Networks on Embedded Devices: A Case Study. | Isma-Ilou Sadou, Seyed Morteza Nabavinejad, Zhonghai Lu, Masoumeh Ebrahimi |
| 2021 | ASPDAC | BatchSizer: Power-Performance Trade-off for DNN Inference. | Seyed Morteza Nabavinejad, Sherief Reda, Masoumeh Ebrahimi |
| 2020 | CCGRID | ApproxDNN: Incentivizing DNN Approximation in Cloud. | Seyed Morteza Nabavinejad, Lena Mashayekhy, Sherief Reda |
| 2018 | DATE | QoR-aware power capping for approximate big data processing. | Seyed Morteza Nabavinejad, Xin Zhan, Reza Azimi, Maziar Goudarzi, Sherief Reda |
| 2018 | SAC | Data locality and VM interference aware mitigation of data skew in hadoop leveraging modern portfolio theory. | Seyed Morteza Nabavinejad, Maziar Goudarzi |
| 2016 | DATE | Energy efficiency in cloud-based MapReduce applications through better performance estimation. | Seyed Morteza Nabavinejad, Maziar Goudarzi |