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Mr. Mohammad Reza Eesazadeh | Dynamic State Estimation | Best Researcher Award

Mohammad Reza Eesazadeh at Sharif university of technology, Iran

Mr. Mohammad Reza Eesazadeh is a Ph.D. candidate in Electrical Engineering – Power at Sharif University of Technology (SUT), Tehran, specializing in synchro design for electric vehicles and machine learning applications in power systems. He holds an M.Sc. in Electrical Engineering from Shahid Beheshti University, where he focused on dynamic state estimation with non-Gaussian noises, and a B.Sc. in Electrical Engineering from University of Mohaghegh Ardabili. His work experience includes roles as an R&D expert and software developer in energy management systems and power system simulations. He has published research in prestigious journals like the IEEE Sensors Journal, and his research interests include power system modeling, wide-area measurement, and electrical machines.

Profile:

Education:

Mr. Eesazadeh is currently pursuing a Ph.D. in Electrical Engineering – Power at Sharif University of Technology (SUT), Tehran, Iran, where he is developing advanced synchro designs for electric vehicles (EVs) and exploring machine learning topics. He previously earned his M.Sc. in Electrical Engineering – Power Systems from Shahid Beheshti University (SBU), Tehran, graduating with a GPA of 16.28. His Bachelor’s degree in Electrical Engineering was obtained from University of Mohaghegh Ardabili, where he focused on fault current limiters. Mr. Eesazadeh has consistently ranked among the top students, including placing 2nd in the National University Entrance Exam for Ph.D. in 2021 and being in the top 3% for M.Sc. entrance exams.

Professional Experience:

Mr. Eesazadeh has diverse work experience as a software developer and R&D expert, particularly in the power systems sector. He has worked with Modje Niroo Company, Tehran, developing advanced state estimation and power flow modules for energy management systems. At the Research and Technology Deputy of SBU, he led a team to develop a power system simulator for Iran’s Electric Transmission Grid, combining MATLAB, C++, and DIgSILENT for real-time data estimation. His early work includes an internship at Ardabil Province Electricity Distribution Company, focusing on power system expansion planning.

Research Interests:

Mr. Mohammad Reza Eesazadeh’s research interests encompass a broad range of topics within electrical engineering, particularly in power systems and advanced technologies. His work focuses on power system modeling and analysis, with a special emphasis on developing dynamic state estimation techniques. He is also deeply engaged in wide-area measurement systems and system identification, applying data analytics and machine learning to enhance these processes. Additionally, Mr. Eesazadeh is interested in the development of electrical machines, especially for electric vehicles, and electromagnetic sensors such as resolvers and synchros. His innovative contributions to these fields are reflected in his research on improving power system operations and advancing sensor technologies.

Skills:

Mr. Mohammad Reza Eesazadeh possesses a diverse set of skills that span technical, analytical, and personal development areas. His technical expertise includes proficiency in specialized software such as MATLAB (Simulink and Script), DIgSILENT, Ansys Electrical, ePLAN, AutoCAD, and LabVIEW, as well as electrical design tools like ETAP and PSIM. He is also adept in programming languages, including C++, Python, C#, and SQL, leveraging these for tasks like power system analysis, state estimation, and data analytics. Additionally, Mr. Eesazadeh is skilled in various instrumentation and engineering design principles, and his experience in developing Energy Management Systems and SCADA modules further highlights his depth in the field. On the personal side, he is an effective communicator with strong teamwork, leadership, and problem-solving abilities, demonstrated through his roles in R&D teams and his supervision of graduate students. His commitment to self-learning and continuous improvement, combined with his ability to prioritize tasks and make informed decisions, further strengthens his professional profile.

Conclusion:

With his strong educational background, significant work experience, advanced technical skills, and impactful research contributions, Mr. Mohammad Reza Eesazadeh presents a compelling case for the Research for Best Researcher Award. His work in power systems, machine learning applications, and energy management systems positions him as a leader in his field.

Publication Top Noted:

  • Developed square-root cubature Kalman filter-based solution for improving power system state estimation with unknown inputs and non-Gaussian noise
    • Journal: Sustainable Energy, Grids and Networks
    • Volume: 40
    • Year: 2024
    • Article Number: 101523
    • Contributors: M.R. Eesazadeh, M.T. Ameli
    • Citations: 0
  • Development of a Multi-Turn Linear Variable Reluctance Resolver with Integrated Ferromagnetic Core
    • Journal: IEEE Sensors Journal
    • Year: 2024
    • Contributors: S.A. Seyed-Bouzari, M. Eesazadeh, F. Tootoonchian, Z. Nasiri-Gheidari
    • Citations: 0
  • Winding Selection for Wound-Rotor Synchro
    • Journal: IEEE Sensors Journal
    • Volume: 24(1)
    • Pages: 215-222
    • Year: 2024
    • Contributors: M.R. Eesazadeh, Z. Nasiri-Gheidari
    • Citations: 0
Mohammad Reza Eesazadeh | Dynamic State Estimation | Best Researcher Award

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