Somayeh Abdi is a Postdoc at the School of Innovation, Design and Engineering at Mälardalen University Sweden since June 2022. She received her B.S. degree in Software Engineering from Razi University in Kermanshah, Iran in 2005. She also received her M.S. and Ph.D. degrees in Software Engineering from Science and Research Branch, Islamic Azad University, Tehran, Iran in 2010 and 2017, respectively.
Somayeh's research interests include workflow scheduling, task scheduling, edge-cloud computing, optimization, linear programming, and reinforcement learning.
Deadline-constrained security-aware workflow scheduling in hybrid cloud architecture (Aug 2024) Somayeh Abdi, Mohammad Ashjaei, Saad Mubeen Future Generation Computer Systems (FGCS)
Cost-aware Workflow Offloading in Edge-Cloud Computing Using a Genetic Algorithm (Jul 2024) Somayeh Abdi, Saad Mubeen, Mohammad Ashjaei The Journal of Supercomputing (Supercomputing)
Task Offloading in Edge-cloud Computing using a Q-Learning Algorithm (Jun 2024) Somayeh Abdi, Mohammad Ashjaei, Saad Mubeen The International Conference on Cloud Computing and Services Science (CLOSER 2024)
Investigation of data mining techniques in the monitoring of malignant tumors of the respiratory tract (Nov 2022) Somayeh Abdi
Powerful enhanced jaya algorithm for efficiently optimizing numerical and engineering problems (Oct 2022) Somayeh Abdi Soft Computing (SC20)
Cognitive and Time Predictable Task Scheduling in Edge-cloud Federation (Sep 2022) Somayeh Abdi, Mohammad Ashjaei, Saad Mubeen International Conference on Emerging Technologies and Factory (ETFA'2022)