Biography:
Saeed Rezaeian-Marjani received the B.Sc., M.Sc., and Ph.D. degrees in electrical power engineering from Urmia University (Iran), in 2013, 2015, and 2022, respectively.
He was a research assistant (RA) in the Electrical Power Engineering Department of Urmia University, from December 2015 to September 2017, and was involved in two research projects. He completed his first postdoctoral fellowship in the Electrical Engineering Department of Sharif University of Technology (Iran), from 2022 to 2023.
He is currently a postdoctoral researcher at the Institute For Research Technology (IIT) at Comillas Pontifical University (Spain).
In 2019 and 2020, he was honoured to be the recipient of a scholarship award from Iran's National Elites Foundation (INEF). In 2021, he was selected as a top researcher for the West Azerbaijan province (Iran), which was an outstanding achievement. He also received the prestigious "Shahid Tehrani Moghaddam" and "Shahid Rahnamon" awards in 2022 for his exceptional contributions to education and research. In addition, he was awarded postdoctoral research grant funding ("Shahid Chamran" grant) in 2022 from the INEF, a remarkable accomplishment. He is known as an outstanding graduate by INEF.
Through his academic activities, he has published several ISI-indexed papers in high-quality journals and a few IEEE-indexed papers at international conferences. Furthermore, he has also been involved in some industrial and academic projects in collaboration with other academic members.
He is proficient in MATLAB and DIgSILENT power factory (DPL and DSL).
Current research interests:
His main research interests include the operation of power systems considering FACTS devices and other power electronics-based devices, the application of analytical and intelligent algorithms in optimizing power systems performance, the probabilistic assessment of power systems, and the modelling and control of hybrid AC/DC power systems.
Rezaeian-Marjani, S., Miralizadeh Jalalat, S., Tousi, B., Galvani, S., Talavat, V., A probabilistic approach for optimal operation of wind-integrated power systems including UPFC. IET Renewable Power Generation. Vol. 17, nº. 3, pp. 706 - 724, February 2023. [Online: November 2022] 
JCR: 2,600 Q2 (2023); - SJR: 0,859 Q2 (2023); Rezaeian-Marjani, S., Ebrahimi, H., Tousi, B., Probabilistic multi-objective optimization method for interline power flow controller (IPFC) allocation in power systems. IET Generation Transmission & Distribution. Vol. 16, nº. 24, pp. 4951 - 4962, December 2022. [Online: November 2022]
JCR: 2,500 Q3 (2022); 2,000 Q3 (2023) - SJR: 0,981 Q1 (2022); 0,787 Q2 (2023) Ebrahimi, H., Rezaeian-Marjani, S., Farhadi-Kangarlu, M., Galvani, S., Stochastic scheduling of energy storage systems in harmonic polluted active distribution networks. IET Generation Transmission & Distribution. Vol. 16, nº. 23, pp. 4689 - 4709, December 2022. [Online: October 2022]
JCR: 2,500 Q3 (2022); 2,000 Q3 (2023) - SJR: 0,981 Q1 (2022); 0,787 Q2 (2023) Rezaeian-Marjani, S., Galvani, S., Talavat, V., A generalized probabilistic multi-objective method for optimal allocation of soft open point (SOP) in distribution networks. IET Renewable Power Generation. Vol. 16, nº. 5, pp. 1046 - 1072, April 2022. [Online: February 2022]
JCR: 2,600 Q3 (2022); 2,600 Q2 (2023) - SJR: 0,867 Q2 (2022); 0,859 Q2 (2023)
JCR: 5,200 Q1 (2022); 5,000 Q1 (2023) - SJR: 1,533 Q1 (2022); 1,711 Q1 (2023) Ebrahimi, H., Rezaeian-Marjani, S., Galvani, S., Talavat, V., Probabilistic optimal planning in active distribution networks considering non-linear loads based on data clustering method. IET Generation Transmission & Distribution. Vol. 16, nº. 4, pp. 686 - 702, February 2022. [Online: October 2021]
JCR: 2,500 Q3 (2022); 2,000 Q3 (2023) - SJR: 0,981 Q1 (2022); 0,787 Q2 (2023)
JCR: 2,639 Q3 (2021); 1,900 Q3 (2023) - SJR: 0,600 Q2 (2021); 0,577 Q2 (2023)
JCR: 1,276 (2021); 1,700 Q3 (2023) - SJR: 0,361 (2021); 0,379 Q3 (2023)
JCR: 3,818 Q2 (2021); 3,300 Q2 (2023) - SJR: 1,109 Q1 (2021); 1,029 Q1 (2023)
JCR: 4,630 Q1 (2020); 5,000 Q1 (2023) - SJR: 1,050 Q1 (2020); 1,711 Q1 (2023)
JCR: 2,860 Q2 (2020); 1,900 Q3 (2023) - SJR: 0,428 Q2 (2020); 0,577 Q2 (2023)
JCR: 2,860 Q2 (2020); 1,900 Q3 (2023) - SJR: 0,428 Q2 (2020); 0,577 Q2 (2023)
JCR: 3,211 Q2 (2019); 3,300 Q2 (2023) - SJR: 1,042 Q1 (2019); 1,029 Q1 (2023)
JCR: 3,211 Q2 (2019); 3,300 Q2 (2023) - SJR: 1,042 Q1 (2019); 1,029 Q1 (2023)
JCR: 1,692 Q3 (2019); 1,900 Q3 (2023) - SJR: 0,439 Q2 (2019); 0,577 Q2 (2023)
JCR: 0,888 Q4 (2018); 1,700 Q3 (2023) - SJR: Q2 (2018); 0,379 Q3 (2023) 
