Prof. Xiaolei Wang | Signal Processors Award | Best Researcher Award

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Prof. Xiaolei Wang | Signal Processors Award | Best Researcher Award

Prof. Xiaolei Wang, Beijing University of Technology, China

Dr. Wang Xiaolei is a distinguished Associate Professor in the College of Physics and Optoelectronics at Beijing University of Technology, where she has been a faculty member since June 2019. With a strong background in materials science, she obtained her Ph.D. from the City University of Hong Kong in 2013, following her Master’s degree from Renmin University of China and her Bachelor’s degree from Northwestern Polytechnical University. Prior to her current role, she served as an Assistant Professor and later an Associate Professor at the Institute of Semiconductors, Chinese Academy of Sciences, from August 2013 to June 2019, and as an Academic Visitor at the University of Cambridge’s Department of Materials Science & Metallurgy. Dr. Wang’s research focuses on spintronic devices, magnetic semiconductors, resistive switching, and novel two-dimensional electronics. She is actively involved in the academic community as a permanent member of the Chinese Physical Society, Beijing Optical Society, and Beijing Cross Society, and serves as the Deputy Director of the Optical Society Youth Council. Additionally, she contributes as an Associate Editor for the Journal of Superconductivity and Novel Magnetism and a Guest Editor for multiple journals, including Symmetry.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Wang Xiaolei, a distinguished Professor in Chemistry and Material Science, has a remarkable research portfolio and extensive contributions to various cutting-edge fields, which make her an excellent candidate for the Best Researcher Award. Her work primarily focuses on spintronics, magnetic semiconductors, resistive switching, molecular spintronics, and two-dimensional electronics.

Education

  • Ph.D. in Physics and Materials Science
    City University of Hong Kong, Hong Kong
    August 2010 – July 2013
  • Master’s Degree in Physics
    Renmin University of China, Beijing, China
    September 2007 – July 2010
  • Bachelor’s Degree in Applied Physics
    Northwestern Polytechnical University, Xi’an, Shanxi, China
    September 2002 – July 2006

Work Experience

  • Associate Professor
    College of Physics and Optoelectronics, Faculty of Science
    Beijing University of Technology, Beijing, China
    June 19, 2019 – Present

    • Conducting research and teaching in spintronics and optoelectronics.
  • Assistant Professor / Associate Professor
    State Key Laboratory of Superlattices and Microstructures
    Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China
    August 1, 2013 – June 18, 2019

    • Engaged in research on semiconductor materials and spintronic devices.
  • Academic Visitor
    Department of Materials Science & Metallurgy
    University of Cambridge, Cambridge, Cambridgeshire, United Kingdom
    January 5, 2013 – July 5, 2013

    • Participated in collaborative research projects in materials science.

Research Areas:

Dr. Wang’s research spans a diverse range of topics:

  1. Spintronic devices 🌀
  2. Magnetic semiconductors 🧲
  3. Resistive switching 🔄
  4. Molecular spintronics 🧬
  5. Transition metal ferromagnets ⚛️
  6. Novel two-dimensional electronics 📏

Honors:

Dr. Wang has received several prestigious awards for her contributions to science:

  • Young Changjiang Scholars Award Program, Ministry of Education (2023) 🎓
  • Advisor of Outstanding Master’s Degree Thesis (2021) 🏆
  • Youth Promotion Association of the Chinese Academy of Sciences (2018) 🌟
  • Research Tuition Scholarship (2011 and 2012) 💰
  • Outstanding Academic Performance Award (2012 and 2013) 📚
  • Excellent Graduation Thesis Award (2010) 🎖️

Publication top Notes:

Local manipulation of skyrmion lattice in Fe3GaTe2 at room temperature

The performance of ultraviolet solar-blind detection of p-Si/n-Ga2O3 heterojunctions with/without hole-blocking layer

Thickness- and Field-Dependent Magnetic Domain Evolution in van der Waals Fe3GaTe2

Determination of Enantiomeric Excess by Optofluidic Microlaser near Exceptional Point

Study on the structural, optical and electrical properties of N-doped Ga2O3 films synthesized by sol-gel method

Mechanical manipulation for ordered topological defects

Dr. Zhengjia Xu | Signal Analysis Award | Best Researcher Award

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Dr. Zhengjia Xu | Signal Analysis Award | Best Researcher Award

Dr. Zhengjia Xu, Cranfield University, United Kingdom

Dr. Zhengjia Xu is an accomplished Electronic and Embedded Software Engineer with a rich blend of academic and industrial experience. He holds a Ph.D. in Aerospace from Cranfield University, where his research focused on cognitive communication and intelligent DSP for drone applications. Dr. Xu has a strong track record of over 25 peer-reviewed publications, including influential journal articles and conference papers in fields such as intelligent signal processing and aerospace engineering. Currently, he serves as a Research Fellow at Cranfield University, specializing in position, navigation, and timing systems, and has led several high-profile projects funded by ESA and EPSRC. His prior roles include Senior RF Engineer at Drone Defense Services Ltd, where he made significant advancements in passive RF radar and SDR-based receivers, and Electronic and Embedded Software Engineer at ASH Wireless (Captec LTD), where he developed advanced NB-IoT products and embedded firmware.

Professional Profile:

Summary of Suitability for the Best Researcher Award

Zhengjia Xu has a comprehensive technical and research background, demonstrating expertise in both industrial and academic settings. His experience spans a range of areas including embedded software development, digital system design, RF analysis, and intelligent signal processing.

Education

Ph.D. in Aerospace Engineering
Cranfield University, Cranfield, UK
September 2017 – March 2021

  • Research Area: Cognitive communication, intelligent DSP, drone communication
  • Thesis: “Cognitive Communication for UAV Applications”
  • Proposed a DSP algorithm enabled by deep learning for RF fingerprint identification, simulated air-to-ground communication performance, and proposed system architectures for UAV communications.

M.Sc. in Vehicle Operation Design
Nanjing University of Aeronautics and Astronautics, Nanjing, China
September 2014 – June 2017

  • Research Area: Aircraft modeling and control, fault-tolerant control
  • Simulated aircraft aerodynamic models, developed aircraft control algorithms, and analyzed real flight data. Involved in PCB layout design and the development of flight simulators.

Bachelor in Electrical and Electronics Engineering
Nanjing University of Aeronautics and Astronautics, Nanjing, China
September 2010 – June 2014

  • Thesis: “Research on Stability and Control of Quadratic Aircraft Based on STM32F407”
  • Designed PID-based flight control software on a self-designed PCB board with STM32 MCU.

Work Experience

Research Fellow in Position, Navigation, and Timing
Cranfield University, Bedford, UK
March 2023 – Present

  • Managed projects with stakeholders including Telespazio – Thales UK, European Space Agency, and others.
  • Co-supervised over 10 MSc and PhD student projects.
  • Main researcher for two ESA-funded projects and one EPSRC-funded 6G project.
  • Delivered lectures and developed course materials for 13 hours across four modules.

Senior RF Engineer
Drone Defense Services Ltd, Retford, UK
March 2022 – March 2023

  • Developed passive RF radar products, including software refactoring and hardware integration.
  • Improved radar detection range significantly and led the design of an SDR-based OFDM receiver.
  • Proficient in SDR developments and GPU platform optimization.

Electronic and Embedded Software Engineer
ASH Wireless (Captec LTD), Southampton, UK
March 2021 – March 2022

  • Developed an NB-IoT product for air-to-ground communication.
  • Customized IoT protocol suite and performed schematic design and RF validation.
  • Experienced in STM ARM Cortex-based embedded application developments.

Volunteer, IET Aerospace TN Committee
Institution of Engineering and Technology (IET)
September 2022 – Present

  • Participated in strategic planning and board meetings for the aerospace technical network.

Publication top Notes:

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