Yaser Damchi | Faculty of Electrical Engineering | Editorial Board Member

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Assoc. Prof. Dr. Yaser Damchi | Faculty of Electrical Engineering | Editorial Board Member

Faculty of Electrical Engineering | Shahrood University of Technology | Iran

Dr. Yaser Damchi is an Associate Professor in the Faculty of Electrical Engineering at Shahrood University of Technology, Iran, specializing in advanced power system analysis. His research focuses on power system protection, relay coordination, fault detection, power swing analysis, power system reliability, and renewable energy integration.

He has developed innovative methods for detecting high-impedance and low-impedance faults, identifying abnormal power swing conditions, improving reliability-centered maintenance practices, and enhancing fault-location algorithms in modern transmission systems. His work bridges theoretical modeling and practical applications, with solutions applicable to distribution networks, transmission lines, and renewable-integrated grids.

Dr. Damchi’s contributions have appeared in leading journals such as Electric Power Systems Research, Computers and Electrical Engineering, International Journal of Electrical Power and Energy Systems, and International Transactions on Electrical Energy Systems. His research continues to support the evolution of secure, intelligent, and reliable power systems.

Profiles: Scopus | Orcid

Featured Publications

Alaei, S. A., & Damchi, Y. (2023). A new method based on the discrete time energy separation algorithm for high and low impedance faults detection in distribution systems. Electric Power Systems Research. https://doi.org/10.1016/j.epsr.2023.109200

Taheri, R., Eslami, M., & Damchi, Y. (2023). A current-based algorithm for one-end fault location in series capacitor compensated double-circuit transmission lines. Computers and Electrical Engineering. https://doi.org/10.1016/j.compeleceng.2023.10861

Kaffashbashi, A., & Damchi, Y. (2023). Statistical approach for detection of fault and stable and unstable power swings based on signal energy. International Journal of Electrical Power and Energy Systems. https://doi.org/10.1016/j.ijepes.2022.108638

Abbasghorbani, M., Damchi, Y., & Mashhadi, H. R. (2022). Reliability-centered maintenance for overhead transmission lines in composite power system. International Transactions on Electrical Energy Systems. https://doi.org/10.1155/2022/1170269

Damchi, Y., & Eivazi, A. (2022). Power swing and fault detection in the presence of wind farms using generator speed zero-crossing moment. International Transactions on Electrical Energy Systems. https://doi.org/10.1155/2022/2569810

Lina Guo | Information Theory | Best Researcher Award

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Dr. Lina Guo | Information Theory | Best Researcher Award

Lecturer at North University of China, China

Dr. Lina Guo is a dedicated researcher in signal and information processing, specializing in image processing, reconstruction, and photoelectric detection. She holds a Ph.D. and currently serves as a Lecturer at North University of China while also working as a Postdoctoral Researcher at the Automation Research Institute Co., Ltd. of China South Industries Group Corporation. Her research excellence is reflected in her leadership of three major funded projects, including grants from the National Natural Science Foundation and Shanxi Province Natural Science Foundation. She has published 15 academic papers, with 10 indexed in SCI/EI, and has been granted seven national invention patents, demonstrating her ability to bridge theoretical advancements with practical applications. Dr. Guo’s work significantly contributes to advancing photoelectric detection technologies, and her dedication to cutting-edge research positions her as a leading scientist in her field. Her expertise and research impact make her a strong candidate for prestigious scientific awards.

Professional Profile 

ORCID Profile

Education

Dr. Lina Guo holds a Doctor of Philosophy (Ph.D.) in Signal and Information Processing, an advanced and interdisciplinary field that integrates image processing, reconstruction, and photoelectric detection. Her academic journey has been focused on developing innovative methodologies for improving signal analysis and image interpretation, which are crucial in numerous technological and industrial applications. With a strong foundation in mathematical modeling, algorithm development, and real-world problem-solving, she has honed her expertise in analyzing complex datasets and enhancing imaging technologies. Her education has equipped her with the theoretical knowledge and practical skills required to conduct high-impact research, leading to numerous scientific contributions. Throughout her academic training, Dr. Guo demonstrated exceptional analytical abilities and a commitment to pioneering advancements in her field. Her Ph.D. education has played a pivotal role in shaping her research direction, enabling her to lead groundbreaking projects and contribute significantly to the scientific community.

Professional Experience

Dr. Lina Guo has an extensive background in research and academia, holding key positions that have allowed her to advance scientific knowledge and mentor young researchers. Since January 2019, she has been serving as a Lecturer at North University of China, where she plays a crucial role in teaching and guiding students in the fields of signal processing, image reconstruction, and photoelectric detection. Additionally, in January 2022, she joined the Automation Research Institute Co., Ltd. of China South Industries Group Corporation as a Postdoctoral Researcher, further expanding her research expertise in industrial and technological applications. Her experience spans across academic research, technological innovation, and project management, allowing her to contribute to both theoretical advancements and practical implementations. Her ability to work on multidisciplinary projects has positioned her as an influential figure in signal processing research, bridging the gap between academia and industry through her innovative contributions.

Research Interest

Dr. Lina Guo’s research is centered around Signal and Information Processing, with a specific focus on image processing, reconstruction, and photoelectric detection. Her work explores advanced algorithms and computational methods for improving image clarity, enhancing detection accuracy, and optimizing data processing in optical systems. By integrating machine learning, mathematical modeling, and digital signal analysis, she aims to develop cutting-edge solutions for medical imaging, remote sensing, and industrial automation. Dr. Guo’s research also extends to photoelectric detection technologies, where she investigates novel methods for improving sensor efficiency and optical signal interpretation. With an emphasis on practical applications, her studies contribute to fields such as biomedical engineering, security surveillance, and artificial intelligence-driven imaging. Her commitment to exploring innovative methodologies has positioned her as a leader in the field, influencing the future of image reconstruction and processing techniques while solving real-world challenges in various industries.

Awards and Honors

Dr. Lina Guo has earned prestigious recognition for her outstanding research and contributions to the fields of signal processing and image analysis. She has successfully led three significant research projects, including one funded by the National Natural Science Foundation of China, one by the Shanxi Province Natural Science Foundation, and another supported by the central government for local scientific and technological development. These projects highlight her ability to secure competitive research grants and drive impactful innovations. Her scholarly work is further reflected in her 15 published academic papers, with 10 indexed in SCI/EI, demonstrating her global research influence. Additionally, she has been granted seven national invention patents, showcasing her capability to translate theoretical research into practical, real-world applications. These achievements underscore her commitment to scientific excellence and her contributions to advancing technological solutions in image processing and photoelectric detection.

Conclusion

Dr. Lina Guo is a highly accomplished researcher and educator, making remarkable contributions to signal and information processing. With her Ph.D. in Signal Processing, she has established herself as an expert in image reconstruction, machine learning, and photoelectric detection. Her lecturing and postdoctoral research roles demonstrate her dedication to academia, innovation, and mentorship. Through her three major research projects, numerous publications, and patents, she has significantly impacted the scientific and technological community. Her ability to secure competitive research funding highlights her leadership in pioneering state-of-the-art advancements in optical imaging and signal analysis. Dr. Guo’s continued efforts in bridging research and industry applications position her as a leading scientist in her field. Her achievements make her a strong candidate for esteemed scientific recognitions and awards, further solidifying her role as an innovator and thought leader in the evolving landscape of signal processing and imaging technologies.

Publications Top Noted