Neda Goodarzi | Model Updating | Best Scholar Award

Ms. Neda Goodarzi , Best Scholar Award , Iran.

Short Biography

Ms.Neda Goodarzi is a dedicated civil engineer specializing in structural health monitoring and model updating. She holds a Ph.D. from Universiti Putra Malaysia and an MSc from Khaje Nasir University . With experience as a software instructor, supervisor, and tour leader, she excels in engineering, education, and multilingual communication. Proficient in ETABS, MATLAB, and ABAQUS, she has participated in national engineering competitions and published Q1 research papers . Known for her patience, intelligence, and determination, she is a passionate academic and professional.

Publication Profile

Google Scholar

Education & Experience

Education:

Ph.D. in Structural Civil Engineering – Model Updating (UPM, Malaysia, 2020–2024)
MSc in Structural Civil Engineering – Health Monitoring (Khaje Nasir, Iran, 2016–2018)
BSc in Civil Engineering (Khaje Nasir, Iran, 2011–2015)
Diploma in Mathematics (Imamat, Iran, 2008–2011)

Experience:

English Teacher (English Institute, 2011–2013)
Software Instructor (ETABS) (University, 2013–2015)
Project Supervisor (2015–2017)
English & Persian Tour Leader (2023–2024/2025)
English Teacher at Korean Kids Academy (2024–2025)

Summary Suitability

Dr. Neda Goodarzi, a distinguished recipient of theBest Researcher Award, has demonstrated exceptional academic and professional excellence, making her a leading candidate for the Best Scholar Award. With a strong educational foundation, she has pursued advanced research in health monitoring and model updating, contributing significantly to the industry through her innovative work at University of Putra Malaysia (UPM). studies. Her research expertise includes structural health monitoring, civil engineering model updating, and applied engineering software solutions (ETABS). She has effectively translated her academic knowledge into practical applications, supervising project implementations and teaching advanced engineering software.

Professional Development

Ms.Neda Goodarzi is a skilled civil engineer with expertise in structural health monitoring and model updating . She is proficient in ETABS, OpenSEES, SAP, ARTeMIS, AutoCAD, Tekla Structures, MATLAB, ABAQUS, and Ansys . A certified member of the Engineering Council, she has participated in steel and concrete structural workshops . She has attended national engineering competitions and has experience translating ISI research papers . Fluent in English, Malay, Spanish, and Arabic, she combines technical knowledge with strong communication skills . Passionate about innovation, she continues to expand her expertise.

Research Focus

Ms.Neda Goodarzi research interests lie in structural health monitoring, model updating, and innovative civil engineering techniques . She focuses on enhancing the safety, durability, and resilience of structures by developing advanced computational models . Her work involves finite element analysis, data-driven decision-making, and real-time structural assessment . She actively explores smart materials and sensor-based diagnostics to improve structural performance. Her interdisciplinary approach integrates artificial intelligence with civil engineering . Passionate about sustainable and earthquake-resistant structures , she aims to bridge the gap between theory and real-world applications.

Awards & Honors

Top Bachelor’s Student in Civil Engineering
Direct Admission to MSc (Exceptional Talent)
19.5/20 in Master’s Thesis
Q1 Research Publications
National Engineering Competition Winner (Truss Bridge & Steel Bridge)
Participation in SCC Concrete National Competition (2019)
ISI Research Paper Translator

Publication Top Notes

“A Review of Health Monitoring and Model Updating of Vibration Dissipation Systems in Structures” by N. Godarzi and F. Hejazi was published in 2020 in Civil Engineering Journal, Vol. 6, No. 3, pp. 418-430.
As of now, it has been cited 10 times.

Prof Dr. Jawad Faiz | Electrical Machines | Best Researcher Award

Professor at University of Tehran , Iran

Dr. Jawad Faiz is a distinguished professor in the School of Electrical and Computer Engineering at the University of Tehran. With extensive contributions to the field of electrical engineering, his work spans the design, modeling, and control of various electrical machines, including induction generators and switched reluctance machines. His research has significantly advanced fault diagnosis techniques and condition monitoring in electrical systems.

Profile

ORCID Profile

Scopus Profile

Google Scholar

Author Metrics

Dr. Faiz is a highly cited researcher with numerous influential publications. His work has appeared in leading journals such as IEEE Transactions and IET. Notably, he has authored papers on fault diagnosis in motors, stator current monitoring, and advanced diagnostic techniques. His research is recognized globally, and he is listed among the top 1% of scientists in his field.

Education

Dr. Faiz holds a Ph.D. in Electrical Engineering from the University of Newcastle upon Tyne, UK, awarded in June 1988. He completed his M.Sc. and B.Sc. in Electrical Engineering at the University of Tabriz, Iran, in July 1975 and November 1974, respectively.

Research Focus

Dr. Faiz’s research interests encompass the design and modeling of electrical machines, including induction generators and switched reluctance machines. His work also focuses on fault diagnosis, condition monitoring, and energy recovery in motors. He has developed advanced techniques for detecting faults and optimizing performance in electric vehicles, transformers, and other electrical systems.

Professional Journey

Dr. Faiz has held numerous academic and administrative positions throughout his career. He served as Director of Educational Affairs and Dean of the Faculty of Engineering at the University of Tabriz. At the University of Tehran, he has been Vice-Dean of Graduate Studies and Director of the Center of Excellence on Applied Electromagnetic Systems. His leadership has greatly contributed to the development of research and educational programs in electrical engineering.

Honors & Awards

Dr. Faiz has received numerous accolades for his contributions to engineering and research. These include the Kharazmi International Festival 1st Prize for Basic Research (2007), the Einstein Golden Model Award from UNESCO (2007), and multiple awards from the University of Tehran for his research and book publications. He is also recognized as a Distinguished Researcher and Elite Professor by various Iranian institutions.

Publications Noted & Contributions

Dr. Faiz has authored and co-authored several significant books and papers in his field. His notable publications include “Electronic Tap-changer for Distribution Transformers” and “Fault Diagnosis of Induction Motors.” His translations of key electrical engineering texts into Persian have made substantial contributions to the academic resources available in Iran.

Research Timeline

Dr. Faiz’s research has evolved from foundational studies in electrical machines to advanced diagnostic techniques and modeling of electrical systems. His work has progressively addressed critical challenges in fault detection and energy efficiency, reflecting the advancements in electrical engineering over the decades.

Collaborations and Projects

Throughout his career, Dr. Faiz has collaborated with leading researchers and institutions globally. His projects often involve multi-disciplinary approaches, combining theoretical modeling with practical applications to address complex issues in electrical engineering. His collaborations have significantly enhanced the scope and impact of his research.

Publications

Static-, Dynamic-, and Mixed-Eccentricity Fault Diagnoses in Permanent-Magnet Synchronous Motors
Authors: BM Ebrahimi, J Faiz, MJ Roshtkhari
Journal: IEEE Transactions on Industrial Electronics
Year: 2009
Volume and Pages: 56 (11), 4727-4739
Citations: 404
This paper presents methods for diagnosing various types of eccentricity faults (static, dynamic, and mixed) in permanent-magnet synchronous motors (PMSMs). The focus is on the diagnostic techniques used to identify these faults and their impact on motor performance.
Advanced Eccentricity Fault Recognition in Permanent Magnet Synchronous Motors Using Stator Current Signature Analysis
Authors: BM Ebrahimi, MJ Roshtkhari, J Faiz, SV Khatami
Journal: IEEE Transactions on Industrial Electronics
Year: 2013
Volume and Pages: 61 (4), 2041-2052
Citations: 281
This paper improves upon the fault recognition techniques for PMSMs, particularly focusing on advanced methods for detecting eccentricity faults using stator current signature analysis. It highlights the effectiveness of this approach in identifying fault conditions.
Dissolved Gas Analysis Evaluation in Electric Power Transformers Using Conventional Methods: A Review
Authors: J Faiz, M Soleimani
Journal: IEEE Transactions on Dielectrics and Electrical Insulation
Year: 2017
Volume and Pages: 24 (2), 1239-1248
Citations: 241
This review paper evaluates conventional methods for dissolved gas analysis (DGA) in electric power transformers. It discusses various techniques and their effectiveness in assessing transformer health and diagnosing faults.
Extension of Winding Function Theory for Nonuniform Air Gap in Electric Machinery
Authors: J Faiz, I Tabatabaei
Journal: IEEE Transactions on Magnetics
Year: 2002
Volume and Pages: 38 (6), 3654-3657
Citations: 218
This paper extends the winding function theory to account for nonuniform air gaps in electric machinery. The extension provides more accurate modeling of electrical machines, improving the understanding and analysis of their performance.
Feature Extraction for Short-Circuit Fault Detection in Permanent-Magnet Synchronous Motors Using Stator-Current Monitoring
Authors: BM Ebrahimi, J Faiz
Journal: IEEE Transactions on Power Electronics
Year: 2010
Volume and Pages: 25 (10), 2673-2682
Citations: 217
This paper discusses methods for feature extraction aimed at detecting short-circuit faults in PMSMs by monitoring stator currents. It emphasizes the use of current monitoring techniques to enhance fault detection capabilities.
Finite-Element Transient Analysis of Induction Motors Under Mixed Eccentricity Fault
Authors: J Faiz, BM Ebrahimi, B Akin, HA Toliyat
Journal: IEEE Transactions on Magnetics
Year: 2007
Volume and Pages: 44 (1), 66-74
Citations: 213
This paper utilizes finite-element transient analysis to study induction motors affected by mixed eccentricity faults. The analysis provides insights into the performance and behavior of motors under these fault conditions.

Strength for Best Researcher Award

Innovative Fault Diagnosis Techniques
Dr. Faiz has pioneered advanced methods for diagnosing eccentricity faults in permanent-magnet synchronous motors and other electrical systems. His innovative approaches have significantly improved fault detection and system reliability.
High Citation Impact
His publications, including influential papers on fault diagnosis and current signature analysis, have garnered substantial citations, highlighting the impact and relevance of his research in the field.
Comprehensive Research Focus
Dr. Faiz’s research encompasses a broad range of topics, from the design and modeling of electrical machines to fault diagnosis and energy recovery. This wide-ranging expertise contributes to a holistic understanding of electrical systems.
Educational Contributions
His role in educating and mentoring students and professionals in electrical engineering has been pivotal. His teaching and publications have enriched academic resources and advanced knowledge in his field.
Recognition and Awards
Dr. Faiz’s numerous accolades, including the Kharazmi International Festival 1st Prize and the Einstein Golden Model Award, reflect his esteemed position in the research community and his contributions to advancing electrical engineering.

Areas for Improvement

Broader Interdisciplinary Collaboration
While Dr. Faiz has collaborated with many researchers, expanding his interdisciplinary partnerships could further enhance the application and impact of his work across different fields.
Increased Focus on Emerging Technologies
Emphasizing emerging technologies such as renewable energy systems and smart grids could align his research with current and future industry trends, ensuring its continued relevance.
Publication in Newer High-Impact Journals
Publishing in newer or more diverse high-impact journals could broaden the reach of his research and attract attention from a wider audience within and outside the electrical engineering community.
Enhanced Industry Engagement
Strengthening ties with industry stakeholders and participating in industry-driven projects could facilitate practical applications of his research and drive innovation in real-world scenarios.
Development of Advanced Research Tools
Investing in the development or adoption of advanced research tools and methodologies could enhance the precision and scope of his studies, leading to more robust and comprehensive findings.

Conclusion

Dr. Jawad Faiz’s distinguished career is marked by his significant contributions to electrical engineering, particularly in fault diagnosis and machine modeling. His research has had a profound impact, evidenced by high citation rates and prestigious awards. Despite his many strengths, there is room for growth in areas such as interdisciplinary collaboration and industry engagement. Addressing these areas could further amplify his research impact and align it with contemporary technological advancements, ensuring continued relevance and innovation in the field.