Ms. Lingxiao Qu - kernel method - Best Researcher Award

The University of Aizu - China

Author Profile 

ORCID 

🎓 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

Ms. Lingxiao Qu – kernel method – Best Researcher Award