Ms. Lingxiao Qu - kernel method - Best Researcher Award

The University of Aizu - China

Author Profile

🎓 Early academic pursuits

Lingxiao Qu began her academic journey with a strong foundation in computer science and technology, earning her bachelor’s degree from north china electric power university in china between october 2013 and september 2017. during this time, she developed a deep interest in embedded systems and power electronics, which laid the groundwork for her future academic and research pursuits. her academic dedication and performance paved the way for graduate-level opportunities and advanced research training.

👩‍💻 Professional endeavors

Following her undergraduate studies, lingxiao pursued a master’s degree in software engineering at guangxi normal university, china, from october 2018 to september 2021 under the guidance of professor jiang jing. currently, she is completing her ph.d. at the university of aizu, japan, in the graduate school of computer science and engineering, where she has been working under the supervision of professor pei yan since october 2021. throughout her academic trajectory, she has actively contributed to software development projects and collaborative research in power electronics and intelligent systems.

🔬 Contributions and research focus

Lingxiao’s research primarily centers on integrating software engineering with power electronics applications, aiming to enhance the intelligence and efficiency of electronic systems. she has explored machine learning algorithms, optimization techniques, and real-time control strategies to advance the design and deployment of smart power electronic devices. her work demonstrates a profound understanding of cross-disciplinary systems, particularly in how computational methods can elevate power electronics design and operation.

🌍 Impact and influence

Lingxiao Qu’s research contributions have had a growing influence in the field of embedded systems and intelligent control, particularly in applying advanced software engineering approaches to power electronics. her innovative thinking has inspired her peers and collaborators, fostering academic discussions and new explorations within her research group and beyond. her ability to merge theoretical knowledge with practical implementation makes her a valuable contributor to modern electronic system advancements.

📚 Academic cites

Although in the early stages of her research career, lingxiao qu’s scholarly work is gaining academic recognition, especially within the circles of computer science and power electronics. she has been actively engaged in publishing her research findings in international journals and conferences. her work has contributed to evolving academic conversations and citations in areas intersecting computer engineering and smart electrical systems.

🌱 Legacy and future contributions

Lingxiao Qu is poised to become a prominent researcher at the intersection of software engineering and power electronics. her future endeavors are expected to explore green energy applications, smart grids, and ai-powered control systems. with a robust academic foundation and a commitment to innovation, her ongoing and future contributions will likely shape the next generation of intelligent electronic systems. she aims to mentor future researchers and collaborate globally to advance sustainable and efficient electronic technologies.

Notable Publications

Title: A Comprehensive Review on Discriminant Analysis for Addressing Challenges of Class-Level Limitations, Small Sample Size, and Robustness
Author(s): Lingxiao Qu, Yan Pei
Journal: Processes
Title: A Data Analysis Method Using Orthogonal Transformation in a Reproducing Kernel Hilbert Space
Author(s): Lingxiao Qu, Yan Pei, Jianqiang Li
Conference: 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Title: Coded Distributed Computing Schemes via Grouping Method
Author(s): Jing Jiang, Lingling Zhou, Lingxiao Qu
Conference: Proceedings of the 8th International Conference on Computing and Artificial Intelligence
Title: An Approach to Improve Distributed Computing
Author(s): Jing Jiang, Yiyun Zhong, Lingxiao Qu
Conference: 2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT)
Title: Cascaded Coded Distributed Computing Schemes Based on Placement Delivery Arrays
Author(s): Jing Jiang, Lingxiao Qu
Journal: IEEE Access

📚 EARLY ACADEMIC PURSUITS

Amir R. Masoodi embarked on his academic journey at the Ferdowsi University of Mashhad, where he demonstrated exceptional aptitude and dedication. He earned his Bachelor's degree in Civil Engineering with a stellar GPA of 17.60/20 in 2012. His quest for knowledge continued with a Master’s degree in Structural Engineering, focusing on the Stability of Structures, and culminating with a Ph.D. in Structural Engineering (Applied Mechanics) in 2020. His doctoral thesis, "Nonlinear finite element analysis of composite shells using strain field mixed interpolation method," stands as a testament to his rigorous research capabilities.

🏗️ PROFESSIONAL ENDEAVORS

Dr. Masoodi’s professional career is marked by his role as an Assistant Professor in Structural Engineering at Ferdowsi University of Mashhad. He has been a pivotal figure in the Department of Civil Engineering, teaching a variety of courses, including Engineering Mechanics, Structural Analysis, and Design of Concrete Structures. His expertise extends beyond academia, with significant contributions as a structural counselor and CEO, demonstrating his leadership and practical application of structural engineering principles in the industry.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Masoodi’s research is centered on the stability and dynamics of structures, soil-structure interaction, and nonlinear mechanics of solids. His work on composite materials, functionally graded materials, and carbon nanotubes has been groundbreaking. He has developed advanced finite element methods for analyzing complex structures, contributing over 38 peer-reviewed journal articles and numerous conference proceedings Numerical Methods that highlight his innovative approaches to structural engineering problems.

🏅 ACCOLADES AND RECOGNITION

Throughout his career, Dr. Masoodi has received numerous accolades that underscore his academic and research excellence. He was recognized as a distinguished lecturer at Sadjad University of Technology in 2019 and was honored as an elite Ph.D. student by the National Elite Foundation Numerical Methods of Iran from 2016 to 2018. His consistent excellence earned him the title of Top Ph.D. student in his department and top researcher at Ferdowsi University of Mashhad in 2015-2016.

🌍 IMPACT AND INFLUENCE

Dr. Masoodi’s influence extends across the global academic community. His work has significantly impacted the understanding and development of composite and functionally graded materials. His innovative research methods and findings have been widely cited and utilized by fellow Numerical Methods researchers, enhancing the field’s overall knowledge base and practical applications in structural engineering.

🔗 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Masoodi’s legacy is built on a foundation of rigorous research, innovative solutions, and a commitment to education. As he continues to explore new frontiers in structural engineering, his future contributions are anticipated to further advance the understanding and application of nonlinear mechanics and composite materials. His ongoing projects and publications ensure that his work will continue to influence and inspire future generations of engineers and researchers.