Prof Dr. Tony Quek | Networking | Best Researcher Award

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Prof Dr. Tony Quek | Networking | Best Researcher Award

Professor at Networking , Singapore University of Technology and Design, Singapore

👨‍🎓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.

🔬 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.

🏆 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:

Prof. Dr. Tony Quek pursued his academic journey with a Bachelor of Engineering in Electrical & Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, graduating in 1998. He furthered his studies at the same institution, completing a Master of Engineering in Information Processing from April 1998 to March 2000, focusing on Multiuser Detection for DS-CDMA Mobile Communication Systems under the guidance of Professor Hiroshi Suzuki. Dr. Quek’s academic pursuits led him to Massachusetts Institute of Technology (MIT), Cambridge, MA, where he obtained his Ph.D. in Electrical Engineering and Computer Science from September 2002 to February 2008. His doctoral research centered on Efficient Approaches to Robust and Cooperative Wireless Network Design, mentored by Professor Moe Z. Win.

Research Interest:

Dr. Tony Quek’s general research interests revolve around applying mathematical, optimization, learning, and statistical theories to various communication, networking, signal processing, and resource allocation problems. His current research topics include wireless communications and networking, network intelligence, non-terrestrial networks, open radio access networks, and 6G technology. He explores innovative approaches to enhance the efficiency, reliability, and intelligence of communication systems, with a focus on advancing the capabilities of future wireless networks.

Awards & Honors:

Dr. Tony Quek has received numerous honors and awards for his outstanding contributions to the field of electrical engineering and computer science. In 2023 and 2022, he was recognized as one of the World’s Top 2% Scientists. In 2022, he was elected as a Fellow of the Academy of Engineering Singapore and received the IEEE Signal Processing Society Best Paper Award. The year 2021 brought further accolades, including the OpenGov Recognition of Excellence and another recognition as one of the World’s Top 2% Scientists. In 2020, Dr. Quek was awarded the Nokia Visiting Professorship, recognized as a Clarivate Analytics Highly Cited Researcher, and received the IEEE Stephen O. Rice Prize in the Field of Communications Theory, among other honors. His contributions have been consistently recognized, including being elected as an IEEE Fellow in 2018 for his contributions to heterogeneous and wireless networks. Dr. Quek has also served as a Distinguished Lecturer for the IEEE Communications Society.

Experience:

Dr. Tony Quek has held several significant roles in academia and research. Since December 2022, he has served as the STEngineering Distinguished Professor at Singapore Technologies Engineering. Prior to this, Dr. Quek was appointed as the Director of the Future Communications R&D Programme at the Singapore University of Technology and Design (SUTD) in May 2021. He also served as the Interim Programme Director for the Design and Artificial Intelligence Programme at SUTD from April 2020 to December 2020. In March 2020, Dr. Quek was appointed as a Full Professor in the Information Systems Technology and Design Pillar at SUTD, where he currently holds the position of Head of Pillar. His work in these roles has contributed significantly to the advancement of research and education in the field of electrical engineering and computer science.

Teaching Experience:

Dr. Tony Quek has an extensive teaching experience at the Singapore University of Technology and Design (SUTD) in the ISTD and ESD Pillars. Since January 2013, he has taught several courses including “Modelling the Systems World” (Term 3, 2013, 2014, 2015), “The Digital World” (Term 3, 2014, 2016), and “Introduction to Probability and Statistics” (Term 5, 2018, 2019). His teaching contributions have been instrumental in shaping the learning experiences of students in the areas of modelling, digital systems, and probability and statistics, helping them develop a strong foundation in these subjects.

Publications:

  1. Enhanced intercell interference coordination challenges in heterogeneous networks
    • Authors: D Lopez-Perez, I Guvenc, G De la Roche, M Kountouris, TQS Quek, …
    • Citations: 1306
    • Year: 2011
  2. Federated learning with differential privacy: Algorithms and performance analysis
    • Authors: K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor
    • Citations: 1244
    • Year: 2020
  3. Offloading in mobile edge computing: Task allocation and computational frequency scaling
    • Authors: TQ Dinh, J Tang, QD La, TQS Quek
    • Citations: 881
    • Year: 2017
  4. Energy efficient heterogeneous cellular networks
    • Authors: YS Soh, TQS Quek, M Kountouris, H Shin
    • Citations: 676
    • Year: 2013
  5. Sensor OpenFlow: Enabling software-defined wireless sensor networks
    • Authors: T Luo, HP Tan, TQS Quek
    • Citations: 614
    • Year: 2012
  6. Scheduling policies for federated learning in wireless networks
    • Authors: HH Yang, Z Liu, TQS Quek, HV Poor
    • Citations: 522
    • Year: 2019

Dr. Samira Mavaddati | Signal Processing | Excellence in Research

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Dr. Samira Mavaddati | Signal Processing | Excellence in Research

Dr at Signal Processing, Signal Processing, Iran

👨‍🎓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.

🔬 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.

🏆 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:

Dr. Samira Mavaddati has a Ph.D. in Electronics Engineering, Major in Digital Electronics, from the Department of Electrical Engineering, Amirkabir University of Technology, Tehran Polytechnic, in 2016. She achieved a GPA of 18.61/20. Her thesis focused on “Noise reduction of speech signals based on sparse representation methods” and received a score of 19.5/20. She also holds an M.Sc. in Electronics Engineering from the Department of Electrical Engineering, Babol University of Technology, Babol, Iran, earned in 2010, with a GPA of 18.50/20. Her thesis was on “Blind source separation using evolutionary algorithms for speech and image signals,” which received a score of 19.9/20. Furthermore, Dr. Mavaddati has a B.Sc. in Electronics Engineering from the Department of Electrical Engineering, Babol University of Technology, Babol, Iran, obtained in 2007, with a GPA of 18.05/20. Her thesis focused on “Designing IR transceiver using AVR microcontroller” and received a perfect score of 20/20. She completed her High School Diploma in Mathematics and Physics at Osveh High School, Babol, Iran, in 2002, with a GPA of 18.55/20.

Honors:

Dr. Samira Mavaddati was accepted as a Ph.D. student in Amirkabir University of Technology in 2011 due to her outstanding educational background in M.Sc. and B.Sc. She ranked 1st among M.Sc. students in the Department of Electrical Engineering, Babol University of Technology, in 2008 and 2009, and was recognized as the distinguished student of the M.Sc. degree in the same department for these years. Additionally, she ranked 1st among B.Sc. students in the Department of Electrical Engineering, Babol University of Technology, in 2006, 2007, and 2008, and was recognized as the distinguished student of the B.Sc. degree in the same department for 2007 and 2008.

Research Interest:

Dr. Samira Mavaddati’s research interests encompass a wide range of topics in the field of electronics engineering and signal processing. She is particularly interested in dictionary learning-based methods, sparse representation techniques, and compressive sensing. Her research also focuses on speech processing, enhancement, and recognition, as well as biomedical signal processing. Additionally, she is involved in research on image processing, voice or music processing, blind source separation approaches, and the application of soft computing, evolutionary computing, and swarm-based algorithms. Dr. Mavaddati is also interested in single-objective optimization and multi-objective optimization methods, artificial intelligence, artificial neural networks, machine vision, and fuzzy logic.

Teaching Experience:

Dr. Samira Mavaddati has extensive experience teaching various courses in electronics engineering. She has taught courses such as digital signal processing, engineering mathematics, basic electrical engineering, communication systems, signals and systems, logic circuit, electrical circuits lab, and logic circuit-computer architecture lab. Since 2016, she has been serving as an Assistant Professor at the University of Mazandaran, Babolsar, Iran. As a teacher assistant at the Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran, from 2012 to 2013, Dr. Mavaddati taught the speech processing course for MSc students. She has also been an instructor at Aryan Institute of Higher Education and Technology, Babol, Iran, since 2015, teaching courses such as evolutionary computing, soft computing, neural network, fuzzy logic, and digital signal processing for MSc students.

Academic Activities:

Dr. Samira Mavaddati has been serving as a supervisor, advisor, and referee for MSc students’ theses in the fields of electrical engineering-electronic integrated circuits and computer engineering-artificial intelligence and robotics at Aryan Institute of Higher Education and Technology, Babol, Iran, since 2015. She has also contributed as a reviewer for conferences and journals, including the 2nd and 3rd International Conferences on Signal Processing and Intelligent Systems (ICSPIS) at Amirkabir University of Technology, Tehran, in December 2016 and December 2017, respectively. Dr. Mavaddati has also served as a reviewer for the Journal of Iranian Association of Electrical and Electronics Engineers (JIAEEE) and the Journal of Information Systems and Telecommunication (JIST).

Professional Experience & Skills:

Dr. Samira Mavaddati’s professional experience includes:

  • Co-Founder and Board of Directors of Abar Rayane Tabarestan High Tech Startup Company 🚀
  • Member of the Innovation Center of Babol Noshirvani University of Technology 💡
  • Researcher and Scientific Programmer in AI Team at Abar Rayane Tabarestan Company 🧠

Her computer skills include proficiency in programming languages such as VHDL, Verilog, C++, Matlab, Simulink, Assembly, Pascal, Assembly X86, Microprocessor 8051, AVR, PIC, and Z80. She is also adept at using technical software like the HTK toolbox, Optimization toolbox, PSpice, Hspice, Orcad, Proteus professional, Codevision, and Bascom. Additionally, Dr. Mavaddati is familiar with operating systems like Windows and applications including the MS Office collection and Mathtype.

Publications:

“A novel speech enhancement method by learnable sparse and low-rank decomposition and domain adaptation” (2016) – S Mavaddaty, SM Ahadi, S Seyedin – Speech Communication, 76, 42-60 (Citations: 36)

“Modified coherence‐based dictionary learning method for speech enhancement” (2015) – S Mavaddaty, SM Ahadi, S Seyedin – IET Signal Processing, 9 (7), 537-545 (Citations: 21)

“Blind signals separation with genetic algorithm and particle swarm optimization based on mutual information” (2011) – S Mavaddaty, A Ebrahimzadeh – Radioelectronics and Communications Systems, 54 (6), 315-324 (Citations: 21)

“Speech enhancement using sparse dictionary learning in wavelet packet transform domain” (2017) – S Mavaddaty, SM Ahadi, S Seyedin – Computer Speech & Language, 44, 22-47 (Citations: 19)

“A novel technique for blind source separation using bees colony algorithm and efficient cost functions” (2014) – A Ebrahimzadeh, S Mavaddati – Swarm and Evolutionary Computation, 14, 15-20 (Citations: 18)

“Voice-based Age and Gender Recognition Based on Learning Generative Sparse Models” (2018) – S Mavaddati – International Journal of Engineering, 31 (9), 1529-1535 (Citations: 10*)

“A comparative study of bees colony algorithm for blind source separation” (2012) – S Mavaddaty, A Ebrahimzadeh – 20th Iranian Conference on Electrical Engineering (ICEE2012), 1172-1177 (Citations: 9)

“A novel singing voice separation method based on a learnable decomposition technique” (2020) – S Mavaddati – Circuits, Systems, and Signal Processing, 39 (7), 3652-3681 (Citations: 7)

“Rice classification and quality detection based on sparse coding technique” (2018) – S Mavaddati – International Journal of Engineering, 31 (11), 1910-1917 (Citations: 7)

“A Novel Singing Voice Separation Method Based on Sparse Non-Negative Matrix Factorization and Low-Rank Modeling” (2018) – S Mavaddati – Iranian Journal of Electrical and Electronic Engineering, 15 (2), 161-171 (Citations: 5)

 

 

 

Assoc Prof Dr. Shabana Urooj | Electrical Engineering | Women Researcher Award

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Assoc Prof Dr. Shabana Urooj | Electrical Engineering | Women Researcher Award

Associate Professor at Electrical Engineering , Princess Nourah bint Abdulrahman University , Saudi Arabia

👨‍🎓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.

🔬 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.

🏆 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:

  1. Ph.D. in Electrical Engineering (2011) – Department of Electrical Engineering, Jamia Millia Islamia (A Central University) in New Delhi, India. Her thesis was titled “Design & Development of Computer-based Biophysical Model for Diagnosing Pulmonary Edema.”
  2. Master of Technology in Electrical Engineering with specialization in Instrumentation & Control (2003) – Aligarh Muslim University in Aligarh, Uttar Pradesh, India. Her dissertation focused on the “Design of Sub-optimal Controller for Linear Time Invariant System incorporating Sensitivity Considerations.”
  3. Bachelor of Engineering in Electrical Engineering (1998) – Aligarh Muslim University in Aligarh, Uttar Pradesh, India.

Shabana Urooj ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 2123, Since 2018: 1488
  • Citations: 2123 (All), 1488 (Since 2018)
  • h-index: 24 (All), 20 (Since 2018)
  • i10-index: 64 (All), 44 (Since 2018)

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

Research Area(s) & Interests:

Computer-Based Diagnosis of Chronic Diseases and Bio-Medical Instrumentation: Dr. Urooj’s expertise includes the development of computer-based models for diagnosing chronic diseases, particularly in the field of bio-medical instrumentation. Her work likely involves the use of computational tools and techniques to analyze medical data and aid in the diagnosis and monitoring of chronic conditions. Optimization & Control, WSN, BAN: Dr. Urooj’s research interests extend to optimization and control systems, as well as Wireless Sensor Networks (WSN) and Body Area Networks (BAN). This expertise suggests involvement in designing and implementing control algorithms, optimizing system performance, and working with wireless communication technologies in healthcare applications. Material Research, Nanomaterials for Engineering Applications: Dr. Urooj is also engaged in material research, particularly in the area of nanomaterials for engineering applications. Her work likely involves the synthesis, characterization, and application of nanomaterials in various engineering fields, such as electronics, materials science, or biomedical engineering.

Teaching Experience:

Associate Professor at College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia (since 15th September 2019): In her current role, Dr. Urooj serves as an Associate Professor, likely contributing to the academic and research activities of the College of Engineering at Princess Nourah bint Abdulrahman University. Assistant and Associate Professor at the Department of Electrical Engineering, Gautam Buddha University, Gr. Noida, UP, India (6th July 2011 to 13th Sep 2019): Dr. Urooj previously worked as both an Assistant and Associate Professor at Gautam Buddha University. She also served as the Head of the Department of Electrical Engineering from 1st August 2018 to September 2019, demonstrating leadership and administrative skills in addition to her teaching and research responsibilities. Associate Professor at the Department of Electronics & Instrumentation Engineering, Galgotias College of Engineering and Technology, Gr. Noida, UP, India (31st July 2009 to 5th July 2011): Prior to her tenure at Gautam Buddha University, Dr. Urooj worked as an Associate Professor at Galgotias College of Engineering and Technology, where she likely contributed to the academic and research activities of the Department of Electronics & Instrumentation Engineering.

MEMBESRSHIP COUNCILS/COMMITTEES:

• Director: College of Engineering Club- 2022-23, 2023-24
• Member of M. Sc Program in collaboration with Essex University UK.
• Member of B. S IoT in collaboration with College of Computer Science.
• General Co-Chair CCAML2024 Committee
• Track Chair (Special Session) IEEE APSCON 2024

Publications:

Fuzzy clustering algorithm for enhancing reliability and network lifetime of wireless sensor networks

  • Published in Energy in 2020 with 1150citations.

Entropy index in quantitative EEG measurement for diagnosis accuracy

  • Published in Energy in 2013 with 83 citations.

A robust polynomial filtering framework for mammographic image enhancement from biomedical sensors

  • Published in Energy in 2013 with 62 citations.

A composite wavelets and morphology approach for ECG noise filtering

  • Published in Energy in 2013 with 56 citations.

Strategies, current status, problems of energy and perspectives of Yemen’s renewable energy solutions

  • Published in Energy in 2018 with 53 citations.

An improved CAD system for breast cancer diagnosis based on generalized pseudo-Zernike moment and Ada-DEWNN classifier

  • Published in Energy in 2016 with 52 citations.

Non-linear polynomial filters for edge enhancement of mammogram lesions

  • Published in Energy in 2016 with 49 citations.

Human visual system based unsharp masking for enhancement of mammographic images

  • Published in Energy in 2017 with 48 citations.

 

Mr. Alireza Jodaei | Electrical | Best Researcher Award

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Mr. Alireza Jodaei | Electrical | Best Researcher Award

Ph.D. candidate at Electrical , Semnan 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.

🔬 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.

🏆 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

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Ms. Zahra Moravej | Electrical | Women Researcher Award

Professor at Electrical, Semnan University, Iran

👨‍🎓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.

🔬 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.

🏆 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  ‘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

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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.

🔬 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.

🏆 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