Aso Ali Abdalmohammed Shateri | Engineering | Best Researcher Award

Mr. Aso Ali Abdalmohammed Shateri | Engineering | Best Researcher Award

Zhejiang University | China

Author Profile

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🌱 Early Academic Pursuits

From a young age, Mr. Aso Ali Abdalmohammed Shateri displayed a keen interest in the sciences, particularly physics. His educational journey began with a Bachelor of Science and Education in Physics from the University of Garmian (2016–2017), where he developed a strong foundation in theoretical and practical physics. This passion led him to pursue a Master of Science in Nano Optoelectronics at Universiti Sains Malaysia (2019–2020), further honing his expertise in cutting-edge technologies. Currently, he is a Ph.D. candidate in Electronic Science and Technology at the prestigious Zhejiang University, China, focusing on information science and electronic engineering.

💼 Professional Endeavors

Mr. Shateri’s career is marked by his dedication to education and research. As a Full-Time Lecturer at the University of Garmian, he has shared his expertise in physics with aspiring students. Additionally, his experience extends to part-time roles at United Skills Private Institute, where he taught diverse subjects, including electronics, mathematics, and energy resources. Beyond academia, he has ventured into roles such as accounting and sales, showcasing his versatility and adaptability in various professional settings.

🔬 Contributions and Research Focus

With a strong focus on nano-optoelectronics and electronic science, Mr. Shateri has been an active contributor to the field of advanced physics and engineering. His laboratory skills, coupled with proficiency in programming tools like MATLAB, have enabled him to conduct significant research in electronic systems and information technologies. He has also participated in numerous workshops and seminars, including an International Workshop on the Large Hadron Collider, underscoring his commitment to staying at the forefront of scientific innovation.

🏆 Accolades and Recognition

Mr. Shateri has been recognized for his academic and professional achievements with a Scientific Nickname (Assistant Lecturer) from the University of Garmian. His certifications in pedagogical training and numerous HP LIFE courses reflect his dedication to continuous learning and professional growth. Additionally, he has earned diplomas in project management, human resource management, and the petroleum industry, demonstrating his multidisciplinary expertise.

🌍 Impact and Influence

As an educator, Mr. Shateri has had a profound impact on his students, inspiring them to pursue careers in science and technology. His contributions to curriculum development and pedagogy have enhanced the quality of education at the institutions he has served. Through his volunteer work, including mentoring Grade 12 students in physics and mathematics, he has also shown a deep commitment to community development.

Legacy and Future Contributions

Looking ahead, Mr. Shateri aims to bridge the gap between academic research and practical applications, particularly in the fields of nano-optoelectronics and sustainable technologies. His vision includes fostering innovation in electronic science and mentoring the next generation of scientists. With his unwavering dedication to excellence, he is poised to leave a lasting legacy in the realms of academia, research, and technology.

 

Publication


📄 Generating a Full Cycle of Alternative Current Using a Triboelectric Nanogenerator for Energy Harvesting

  •  Authors: Aso Ali Abdalmohammed Shateri, Fengling Zhuo, Dr. Nazifi Sani Shuaibu, Rui Wan, Liangquan Xu, Dinku Hazarika, Bikash Gyawali, Xiaozhi Wang
  •  Journal: Micromachines
  •  Year: 2024

 

Elaheh Yaghoubi | Energy | Best Researcher Award

Dr. Elaheh Yaghoubi | Energy | Best Researcher Award

Karabuk University | Turkey

Author profile

Scopus

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Early Academic Pursuits

Dr. Elaheh Yaghoubi's academic journey began with an Associate's degree in Electrical Engineering from University College of Rouzbahan, Iran, where she graduated with a GPA of 3.5. She then pursued a Bachelor's degree in Electrical Engineering at Aryan Institute of Science and Technology University, Iran, achieving a perfect GPA of 4. Following this, she completed her Master's degree in Electrical Engineering at Islamic Azad University in Qaemshahr, Mazandaran, Iran, again with a perfect GPA of 4. Her Master's thesis focused on developing a routing algorithm for a proposed topology for a grid on a large-scale chip to detect errors. Dr. Yaghoubi is currently a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University in Turkey, where she is working on her thesis titled "Optimal power control of grid-connected distributed generation in a hierarchical framework based on Model Predictive Control."

Professional Endeavors

Dr. Yaghoubi has a diverse professional background that complements her academic achievements. From 2015 to 2018, she served as a Senior Manager at Kati Kabl Tabarestan Factory in Mazandaran, Iran, where she was responsible for quality assurance, inspecting products to ensure high quality, and troubleshooting technical issues. She then worked as a Senior Manager at Rico Electronics Company in Mazandaran, Iran, overseeing product quality assurance and implementing design modifications. From 2019 to 2021, she worked as a Website Designer at WebCore Company in Mazandaran, designing front-end interfaces with HTML, CSS, and JavaScript, and back-end systems with PHP and Laravel. Currently, Dr. Yaghoubi is a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) group, focusing on investigation, teaching, and designing.

Contributions and Research Focus

Dr. Yaghoubi's research interests are broad and interdisciplinary, encompassing power system analysis, power system stability, power management, microgrids, smart grids, renewable energies, model predictive controllers (MPC), artificial neural networks, machine learning, deep learning, plasmonic applications, and nano-electronic devices. Her current research work involves optimal power control of grid-connected distributed generation using model predictive control, a topic that is crucial for the advancement of smart grids and renewable energy systems. She has also contributed to the understanding and development of routing algorithms for large-scale chips and has experience in quality control and product management in industrial settings.

Accolades and Recognition

Throughout her academic and professional career, Dr. Yaghoubi has been recognized for her excellence and contributions. She successfully passed her Ph.D. qualification exam with a perfect grade of 4 out of 4. Her consistent academic performance, marked by perfect GPAs during her Bachelor's and Master's studies, reflects her dedication and expertise in her field.

Impact and Influence

Dr. Yaghoubi's work has had a significant impact on both academic and industrial fields. Her research on smart grids, optimization techniques, and model predictive control contributes to the development of more efficient and reliable power systems. Her practical experience in quality control and product management ensures that her research is grounded in real-world applications and industrial standards.

Legacy and Future Contributions

Dr. Yaghoubi's legacy lies in her interdisciplinary approach to electronic and electrical engineering, integrating theoretical research with practical applications. Her work in power systems, renewable energy, and advanced control techniques positions her as a key contributor to the future of smart grid technology and sustainable energy solutions. As she continues her research and professional activities, Dr. Yaghoubi is likely to make further significant contributions to the field, driving innovation and excellence in electronic and electrical engineering.

 

Notable Publications

A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior 2024

A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering 2024

Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller 2023 (1)

Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide 2022 (9)

Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide 2021 (11)