Head of Electrical Engineering epartment at Shahid Beheshti University, Iran
Prof. MohammadReza Aghamohammadi is a distinguished academic and researcher in Electrical Engineering at Shahid Beheshti University, Iran, with over three decades of impactful contributions to power systems engineering. Currently serving as the Dean of the Faculty of Electrical Engineering, he is also the Head of the Iran Dynamic Research Center (IDRC). His career bridges academia and industry, focusing on real-world challenges such as power system stability, blackout prevention, and intelligent grid control. A leader in energy reliability, he has held numerous national roles in planning and reliability councils under Iran’s Ministry of Energy. He has guided over 80 theses at undergraduate, master’s, and Ph.D. levels, and organized key international conferences in power systems. With memberships in IEEE, Cigre, and IAEEE, Prof. Aghamohammadi is widely recognized for his technical leadership, mentorship, and sustained research excellence. His interdisciplinary expertise continues to shape the next generation of power system innovation in Iran and beyond.
Professional Profile
Education🎓
Prof. Aghamohammadi’s academic journey spans prestigious institutions across Iran, the UK, and Japan. He earned his Bachelor of Science in Electrical Engineering from Sharif University of Technology in Tehran in 1980, laying a strong foundation in the field. He then pursued his Master’s degree in Electrical Engineering at the University of Manchester Institute of Science and Technology (UMIST), UK, graduating in 1986 with advanced expertise in electrical systems. His academic pursuit culminated in a Ph.D. in Electrical Engineering from Tohoku University in Sendai, Japan, in 1994. His doctoral research focused on the secure operation of electric power systems using neural network applications—an innovative and forward-looking topic at the time. His global academic background has equipped him with a broad and multidisciplinary understanding of electrical engineering, making him a well-rounded expert in both theoretical and applied power system studies, with an international perspective critical to energy research and innovation.
Professional Experience📝
Prof. Aghamohammadi’s professional career is marked by a unique blend of academic leadership and national-level energy sector involvement. From 1994 to 2012, he served at the Power & Water University of Technology (PWUT) as an Assistant Professor and held leadership roles including Vice Chancellor for Research and Head of the Power Industry Innovation Center. He served as a consultant to several key departments within Iran’s Ministry of Energy, including Tavanir and Moshanir Engineering Consultants. Since 2005, he has led the Iran Dynamic Research Center and has been a pivotal figure in shaping Iran’s power system strategies. At Shahid Beheshti University, he has held several roles: Head of Power Group, Head of Operation & Planning Group, and currently Dean of the Faculty of Electrical Engineering. His leadership also includes positions within the Iran Electric Reliability Council (IERC), where he contributed to strategic national planning for electrical system stability and development.
Research Interest🔎
Prof. Aghamohammadi’s research interests are deeply rooted in the stability, reliability, and intelligent control of electrical power systems. His work spans key areas such as power system security assessment, inter-area oscillations, cascading failure analysis, and blackout simulation—critical challenges in modern energy infrastructure. He has contributed extensively to voltage stability enhancement, reactive power control, and the implementation of controlled islanding strategies to prevent large-scale outages. A notable aspect of his research is the integration of artificial intelligence and neural network applications into power system operations, aligning traditional power engineering with cutting-edge computational techniques. His long-term research has been instrumental in projects such as the dynamic study of the Iranian power grid, voltage control using STATCOM, and load balancing in distribution networks. Prof. Aghamohammadi’s work not only addresses theoretical models but is directly applied in large-scale national projects, bridging academia with industry for sustainable and resilient power systems.
Award and Honor🏆
While specific individual awards are not detailed, Prof. Aghamohammadi’s honors are reflected through his extensive leadership roles, national responsibilities, and recognitions by key organizations. His appointment as Dean of the Faculty of Electrical Engineering and Director of the Iran Dynamic Research Center signify institutional trust in his expertise. He has served as Chair and Technical Head for prestigious conferences such as the International Power System Conference (1997) and the 17th International Conference on Protection and Automation (2023), recognizing his authority in the field. He is an active member of leading professional societies, including IEEE, Cigre, and IAEEE, indicating peer acknowledgment at both national and international levels. Furthermore, his role on strategic councils like the Iran Electric Reliability Council (IERC) underscores his contributions to national energy policy and planning. These cumulative recognitions and responsibilities are a testament to his status as one of Iran’s foremost experts in power system engineering and energy reliability.
Research Skill🔬
Prof. Aghamohammadi possesses a rich portfolio of advanced research skills centered on electrical power systems and intelligent energy management. He is proficient in dynamic system modeling, power system security evaluation, voltage and frequency stability analysis, and the development of preventive strategies against cascading failures and blackouts. His expertise includes simulation-based analysis, control algorithm design, and the application of artificial intelligence—especially neural networks—for enhanced grid operations. His contributions to long-term dynamic studies and reactive power control demonstrate his ability to manage complex systems with practical and scalable solutions. His research also involves technical knowledge in STATCOM applications, controlled islanding, and real-time decision-making in energy distribution networks. Moreover, he has led numerous multidisciplinary research projects and mentored graduate-level theses, indicating strong supervision and technical communication skills. These capabilities have enabled him to transform academic research into actionable insights for national grid planning and stability, making him a valuable asset to both academia and industry.
Conclusion💡
Prof. MohammadReza Aghamohammadi’s long-standing contributions to power system engineering, deep industry-academic integration, and academic leadership strongly support his nomination for the Best Researcher Award. His influence spans research excellence, institutional leadership, and real-world application, making him a standout candidate. While some enhancements in international visibility could be beneficial, his credentials already position him as a top-tier nominee for the award.
Publications Top Noted✍
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Title: A new approach for optimal sizing of battery energy storage system for primary frequency control of islanded microgrid
Authors: MR Aghamohammadi, H Abdolahinia
Year: 2014
Citations: 370
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Title: Intentional islanding using a new algorithm based on ant search mechanism
Authors: MR Aghamohammadi, A Shahmohammadi
Year: 2012
Citations: 120
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Title: Optimal distribution feeder reconfiguration and generation scheduling for microgrid day-ahead operation in the presence of electric vehicles considering uncertainties
Authors: M Sedighizadeh, G Shaghaghi-shahr, M Esmaili, MR Aghamohammadi
Year: 2019
Citations: 82
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Title: DT based intelligent predictor for out of step condition of generator by using PMU data
Authors: MR Aghamohammadi, M Abedi
Year: 2018
Citations: 73
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Title: Wavelet based feature extraction of voltage profile for online voltage stability assessment using RBF neural network
Authors: S Hashemi, MR Aghamohammadi
Year: 2013
Citations: 70
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Title: Application of Newton-based load flow methods for determining steady-state condition of well and ill-conditioned power systems: A review
Authors: M Karimi, A Shahriari, MR Aghamohammadi, H Marzooghi, V Terzija
Year: 2019
Citations: 69
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Title: A new approach for online coherency identification in power systems based on correlation characteristics of generators rotor oscillations
Authors: MR Aghamohammadi, SM Tabandeh
Year: 2016
Citations: 63
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Title: A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control
Authors: S Oshnoei, MR Aghamohammadi, S Oshnoei, S Sahoo, A Fathollahi, …
Year: 2023
Citations: 55
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Title: A three stages decision tree-based intelligent blackout predictor for power systems using brittleness indices
Authors: MR Salimian, MR Aghamohammadi
Year: 2017
Citations: 53
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Title: Decision tree analysis to identify harmful contingencies and estimate blackout indices for predicting system vulnerability
Authors: E Aliyan, M Aghamohammadi, M Kia, A Heidari, M Shafie-khah, …
Year: 2020
Citations: 52
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Title: Intelligent out of step predictor for inter area oscillations using speed-acceleration criterion as a time matching for controlled islanding
Authors: MR Salimian, MR Aghamohammadi
Year: 2016
Citations: 48
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Title: Enhancement of the LVRT capability for DFIG-based wind farms based on short-circuit capacity
Authors: Z Rafiee, R Heydari, M Rafiee, MR Aghamohammadi, F Blaabjerg
Year: 2022
Citations: 44
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Title: A new scheme of WADC for damping inter-area oscillation based on CART technique and Thevenine impedance
Authors: S Ranjbar, MR Aghamohammadi, F Haghjoo
Year: 2018
Citations: 44
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Title: Damping inter-area oscillation by generation rescheduling based on wide-area measurement information
Authors: L Yazdani, MR Aghamohammadi
Year: 2015
Citations: 43
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Title: Provision of frequency stability of an islanded microgrid using a novel virtual inertia control and a fractional order cascade controller
Authors: S Oshnoei, M Aghamohammadi, S Oshnoei, A Oshnoei, …
Year: 2021
Citations: 40
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Title: A new approach for mitigating blackout risk by blocking minimum critical distance relays
Authors: MR Aghamohammadi, S Hashemi, A Hasanzadeh
Year: 2016
Citations: 35
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Title: A deep learning-based attack detection mechanism against potential cascading failure induced by load redistribution attacks
Authors: A Khaleghi, MS Ghazizadeh, MR Aghamohammadi
Year: 2023
Citations: 32
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Title: A review on data-driven security assessment of power systems: Trends and applications of artificial intelligence
Authors: A Mehrzad, M Darmiani, Y Mousavi, M Shafie-Khah, M Aghamohammadi
Year: 2023
Citations: 30
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Title: Identification of coherent groups of generators based on synchronization coefficient
Authors: H Davarikia, F Znidi, MR Aghamohammadi, K Iqbal
Year: 2016
Citations: 27
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Title: Sensitivity characteristic of neural network as a tool for analyzing and improving voltage stability
Authors: M Aghamohammadi, M Mohammadian, H Saitoh
Year: [Year Not Specified]
Citations: Not Provided (from IEEE/PES T&D Conf. proceedings)