Mostafa Hadadian Nejad Yousefi

PhD Student

• Room number: 566
• Email: m.hadadian [at] rug.nl

Research

• Machine Learning Operations (MLOps)
• Big Data
• Distributed Systems
• Cloud Computing
• Machine Learning

Publications

1. Hadadian Nejad Yousefi, M., Degeler, V., & Lazovik, A. (2024). Self-Adaptive Service Selection for Machine Learning Continuous Delivery. IEEE International Conference on Web Services, 1048–1056. https://doi.org/10.1109/ICWS62655.2024.00123
2. Yousefi, M. H. N., Degeler, V., & Lazovik, A. (2023). Empowering Machine Learning Development with Service-Oriented Computing Principles. In M. Aiello, J. Barzen, S. Dustdar, & F. Leymann (Eds.), Service-Oriented Computing (pp. 24–44). Springer. https://doi.org/10.1007/978-3-031-45728-9_2
3. Albers, T., Lazovik, E., Hadadian Nejad Yousefi, M., & Lazovik, A. (2021). Adaptive On-the-Fly Changes in Distributed Processing Pipelines. Frontiers in Big Data, 4. https://doi.org/10.3389/fdata.2021.666174
4. Albers, T., Lazovik, E., Yousefi, M. H. N., & Lazovik, A. (2021). Adaptive On-the-fly Changes in Distributed Processing Pipelines. Frontiers in Big Data, 79.
5. Akbarinejad, S., Yousefi, M. H. N., & Goudarzi, M. (2021). SVNN: an efficient PacBio-specific pipeline for structural variations calling using neural networks. BMC Bioinformatics, 22(1), 1–17.
6. Yousefi, M. H. N., Ghiassi, A., Hashemi, B. S., & Goudarzi, M. (2020). Workload Scheduling on heterogeneous Mobile Edge Cloud in 5G networks to Minimize SLA Violation. ArXiv Preprint ArXiv:2003.02820.
7. Yousefi, M. H. N., Goudarzi, M., & Motahari, S. A. (2019). IMOS: improved meta-aligner and Minimap2 on spark. BMC Bioinformatics, 20(1), 1–14.
8. Yousefi, M. H. N., & Goudarzi, M. (2018). A task-based greedy scheduling algorithm for minimizing energy of mapreduce jobs. Journal of Grid Computing, 16(4), 535–551.