Mr. Alireza Jodaei | Electrical | Best Researcher Award

Mr. Alireza Jodaei | Electrical | Best Researcher Award

Ph.D. candidate at Electrical , Semnan University , Iran

πŸ‘¨β€πŸŽ“He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

πŸ”¬ He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

πŸ† The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Mr. Alireza Jodaei holds a Ph.D. in Electrical Engineering with a specialization in power protection. His academic expertise and research likely focus on developing and implementing systems and strategies to safeguard electrical systems from various types of faults and disturbances, ensuring their reliable and safe operation. Based in Semnan, Iran, Mr. Jodaei’s work likely contributes to the advancement of power engineering, with potential applications in improving the stability and resilience of electrical grids and systems.

Research:

Several significant research contributions by Mr. Alireza Jodaei, focusing on electrical engineering, have been published in reputed journals. One such contribution involves the improvement of fault detection during power swing in a series compensated line by utilizing a Taylor series method, published in the journal “Computational Intelligence in Electrical Engineering.” Another notable work is the development of a smart method for multi-zonal virtual power plant scheduling in the presence of electric vehicles, featured in “Modeling and Simulation in Electrical and Electronics.” Mr. Jodaei’s research also delves into the impact of STATCOM and HSFCL on the performance of distance relays in transmission networks, explored in the journal “Modeling in Engineering.” Additionally, he has contributed to the field of smart grids with DG by presenting a hierarchical distributed voltage management approach in the journal published by the “International Organization on Technical and Physical Problems of Engineering.” Another significant publication by Mr. Jodaei addresses fault detection and location in power systems with large-scale photovoltaic power plants, featuring adaptive distance relays, which was published in the “International Journal of Electrical Engineering.” His research also includes an effective protection scheme for transmission lines connected to large-scale photovoltaic power plants, contributing to the field’s advancements.

Ms. Zahra Moravej | Electrical | Women Researcher Award

Ms. Zahra Moravej | Electrical | Women Researcher Award

Professor at Electrical, Semnan University, Iran

πŸ‘¨β€πŸŽ“She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

πŸ”¬ She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

πŸ† The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ms. Zahra Moravej is a distinguished scholar with a Ph.D. in Electrical Engineering from IITBHU Banaras, India, earned in 2000. Her doctoral thesis, “ANN Based Differential Protection of Power Transformer,” reflects her expertise in the field. Prior to her Ph.D., she completed her M.E. in Electrical Engineering at Bangalore University, Bangalore, India, in 1990. Her master’s thesis, “Microprocessor based point on wave switching device for power system model study application,” showcases her early contributions to the field. Ms. Moravej commenced her academic journey with a B.E. in Electrical Engineering, also from Bangalore University, Bangalore, India, in 1985. Her bachelor’s thesis, “Design and implementation of Intel 8085 assembler,” demonstrates her foundational understanding of electrical engineering concepts and practices

Expertise:

Ms. Zahra Moravej is a dedicated professional with a keen interest in various aspects of power systems. Her expertise spans a wide range of topics, including power system protection, power quality, substation automation systems, the protection of smart grids, and the application of artificial intelligence and digital signal processing to power system protection. She is particularly passionate about the protection and control of microgrids, where she aims to apply her knowledge and skills to contribute to the advancement of this field. With a strong focus on research and innovation, Ms. Moravej is committed to exploring new technologies and methodologies that can enhance the efficiency, reliability, and resilience of power systems in the modern era.c.

Academic Experience:

Ms. Zahra Moravej has an extensive academic career, starting as a Lecturer at Semnan University from 1989 to 1995. Afterward, they served as an Assistant Professor at Semnan University from 2000 to 2012, where they contributed significantly to their field. Their dedication and scholarly achievements led to their appointment as an Associate Professor at Semnan University in 2012, a position they held until 2018 when they were promoted to the rank of Professor. Throughout their tenure at Semnan University, Ms. Zahra Moravej has been instrumental in advancing their department’s academic and research endeavors. In January 2015, they furthered their research expertise by serving as a Research Scholar at Tennessee Technological University, enhancing their knowledge and contributing to the global academic community.

 

Zahra Moravej ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 2302, Since 2018: 1280
  • Citations: 2302 (All), 1280(Since 2018)
  • h-index: 27 (All), 20 (Since 2018)
  • i10-index: 50 (All), 36 (Since 2018)

These metrics showcase the impact of Moravej Β ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Membership:

Zahra Moravej is a Senior Member of the Institute of Electric and Electronics Engineers (IEEE) and a Member of the Association of Iranian Electrical & Electronics Engineers (AIEEE).

Professional Services:

Zahra Moravej serves as the Executive Manager at the Journal of Modeling and Simulation in Electrical and Computer Engineering. Additionally, she has undertaken the role of a reviewer for esteemed publications such as IEEE Power Delivery, IEEE Industry Application, European Transaction on Electrical Power, International Journal of Electrical Power & Energy Systems, and Modeling in Engineering. Her contributions in these capacities reflect her expertise and commitment to the advancement of research in electrical and computer engineering.

Research Projects:

In 2007, Semnan University, Semnan, Iran, undertook a case study on the implementation of Substation Automation System & Its Redundancy. This study likely delved into the practical aspects and outcomes of implementing such a system in a real-world scenario, providing valuable insights for the field. In 2011, the university also conducted research on Power Quality Monitoring, a critical aspect of electrical systems, especially in ensuring the reliability and efficiency of power supply. These studies reflect the university’s commitment to advancing knowledge and understanding in the field of electrical engineering and its practical applications.

Honors:

Dr. Zahra Moravej has been consistently recognized as a top researcher in the Electrical & Computer Faculty at Semnan University, Iran. Her dedication to research excellence is evident through her successive awards as the Best Researcher of the Electrical & Computer Faculty at Semnan University in December 2012, 2014, 2016, and 2018. These accolades highlight her sustained contributions to the field over the years. Additionally, her research impact is underscored by her inclusion among the top 5% of scientists in December 2021 and the top 2% in December 2022, demonstrating her continued influence and standing within the academic community.

Publications:

A novel approach based on cuckoo search for DG allocation in distribution network

  • Published in Energy in 2013 with 239 citations.

Optimal coordination of directional overcurrent relays using NSGA-II

  • Published in Energy in 2015 with 121 citations.

Detection and classification of power quality disturbances using wavelet transform and support vector machines

  • Published in Energy in 2009 with 103 citations.

Optimal coordination of distance and over-current relays in series compensated systems based on MAPSO

  • Published in Energy in 2012 with 99 citations.

New pattern-recognition method for fault analysis in transmission line with UPFC

  • Published in Energy in 2014 with 94 citations.

Classification and discrimination among winding mechanical defects, internal and external electrical faults, and inrush current of transformer

  • Published in Energy in 2017 with 87 citations.

Key management issue in SCADA networks: A review

  • Published in Energy in 2017 with 86 citations.

Impact of UPFC on power swing characteristic and distance relay behavior

  • Published in Energy in 2013 with 77 citations.

A new formulation for coordination of directional overcurrent relays in interconnected networks

  • Published in Energy in 2015 with 76 citations.

 

 

Dr. Ali Jahedsaravani | Electrical Engineering | Best Scholar Award

Dr. Ali Jahedsaravani : Leading Researcher in Electrical Engineering

Assistant Professor at Electrical Engineering, Khatam al Anbiya University, Iran

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

πŸ”¬ He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

πŸ† The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ph.D. in Automation and Control Engineering from the University Putra Malaysia, Malaysia, earned between 2011 and 2015, with a GPA of 3.75 on a scale of 4. MSc in Automation and Control Engineering at Islamic Azad University, Gonabad branch, Iran, completed between 2008 and 2011, with a GPA of 18.28 on a scale of 20. BSc in Electronic Engineering from Islamic Azad University, Iran, Birjand, completed between 2002 and 2007, with a GPA of 14.77 on a scale of 20.

Areas of Interest:

  1. Assistant Professor at the Faculty of Engineering, Khatam al-Anbiya University, from 2018 to the present.
  2. Lecturer at the Faculty of Engineering, Khatam al-Anbiya University, from 2016 to 2018.

Publications:

Measurement of bubble size and froth velocity using convolutional neural networks

Prediction of Froth Flotation Performance Using Convolutional Neural

Recognition of process conditions of a coal column flotation circuit using computer vision and machine learning

Flotation froth image classification using convolutional neural networks

Machine vision based monitoring and analysis of a coal column flotation circuit

An image segmentation algorithm for measurement of flotation froth bubble size distributions

Development of a machine vision system for real-time monitoring and control of batch flotation process

Application of Image Processing and Adaptive Neuro-fuzzy System for Estimation of the Metallurgical Parameters of a Flotation Process