Sahar Mobaiyen, Doctoral student
Sahar Mobaiyen received her B.Sc. degree in Electrical-Control Engineering from the University of Tabriz, Iran, in 2008, and her M.Sc. degree in Intelligent Embedded Systems from Mälardalen University, Sweden, in 2022. Since June 2022, she has been a Ph.D. student at Mälardalen University, Sweden. Her research focuses on scheduling and timing analysis of real-time applications on heterogeneous computing platforms, with particular emphasis on GPU-based systems, spatial GPU partitioning, and interference modeling for predictable execution of real-time workloads.
Scheduling and analysis of real-time applications on heterogeneous computing platforms
Scheduling and Response-time Analysis of Multicore and Multi-GPU Heterogeneous Systems with Server-Based Approach (Aug 2026) Sahar Mobaiyen, Saad Mubeen, Mikael Sjödin, Nandinbaatar Tsog, Matthias Becker Journal of Control Science and Engineering (JCSE)
Cross-Partition Memory Interference in Software-Partitioned GPUs for Real-Time Tasks Sahar Mobaiyen, Mikael Sjödin, Saad Mubeen IEEE International Conference on Industrial Technology (ICIT 2026) (ICIT26)
Slowdown Modeling under Interference in Spatially Partitioned GPUs Sahar Mobaiyen, Mikael Sjödin, Saad Mubeen 29th International Symposium on Real-Time Distributed Computing (ISORC)