Dr. Xiangyu Xie | Wireless Sensor Awards | Best Researcher Award

Dr. Xiangyu Xie | Wireless Sensor Awards | Best Researcher Award

Dr. Xiangyu Xie, Guiyang University, China

Dr. Xiangyu Xie is a highly skilled researcher and engineer specializing in sensor technologies and material analytics. He currently serves as a Senior Lab Master and Group Leader of Materials Engineering at Guiyang University, where he has been leading projects since October 2017. Dr. Xie is expected to complete his PhD in Materials Science and Engineering from Harbin Engineering University by December 2024. His academic journey began with a Master’s degree in Mechanical Engineering from Guizhou University (2014–2017) and a Bachelor’s degree in Mechanical Engineering from Hunan Institute of Science and Technology (2010–2014). With extensive experience in data manipulation and project management, Dr. Xie has played a pivotal role in the Detection and Localization of Threats Project and the development of Novel Sensing Networks for Intelligent Monitoring, both funded by the National Natural Science Foundation of China. His work focuses on advanced sensor systems, including the development of RFID sensors for strain and damage mapping, and his ability to handle complex projects with evolving priorities has made him a strong leader in his field.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Xiangyu Xie is highly suitable for the Best Researcher Award due to his extensive qualifications, project leadership experience, and innovative contributions to the field of sensor technologies and materials science. His academic background, including a Ph.D. in Materials Science and Engineering (expected in 2024), coupled with his Master’s and Bachelor’s degrees in Mechanical Engineering, demonstrates a solid foundation in engineering and materials research.

Working Experience and Education 🎓

  • Harbin Engineering University, Harbin, China
    📚 Doctor of Philosophy (PhD) in Materials Science and Engineering (Expected: December 2024)
  • Guiyang University, Guiyang, China
    🔬 Senior Lab Master, Group Leader of Materials Engineering (Oct 2017–Present)
  • Guizhou University, Guiyang, China
    🎓 Master of Science in Mechanical Engineering (Sep 2014–June 2017)
  • Hunan Institute of Science and Technology, Yueyang, China
    🎓 Bachelor of Science in Mechanical Engineering (Sep 2010–June 2014)

Project Experience 🧪

  • Detection and Localization of Threats Project (National Natural Science Foundation of China) (Mar 2023–Present)
    🔍 Led project direction, data processing, and qualitative/quantitative analyses.
  • Novel Sensing Networks for Intelligent Monitoring (National Natural Science Foundation of China) (Jun 2021–Present)
    🛠️ Planned content themes and developed novel structures for RFID sensors in strain and damage mapping.

Highlight of Qualifications 🌟

🔹 Rich internship and project experience in sensor technologies and material analytics with strong data manipulation skills.
🔹 Exceptional communication and interpersonal skills for effective collaboration and project management.
🔹 Self-motivated and capable of managing complex projects while balancing multiple priorities in demanding timelines.

Publication top Notes:

Passive wireless RFID strain sensor for directional-independent structural deformation monitoring

Influence of HCl in Photo-catalyzed Oxidation of Cyclohexane with Decatungstate or PMo12-nVn

An RFID smart structure using inkjet-printed additive manufacturing technology for metal crack characterization

High-Sensitivity RFID Tag Sensor with Coupled Ring Resonators for Multi-Position Crack Monitoring

Reliable Crack Monitoring Based on Guided Wave Through Periodically Loaded Transmission Line

Re-transmission Crack Sensor based on Re-configurable Series Ring Resonator

 

Assist Prof Dr. Qinghua Yang | Sensor Fusion Award | Best Researcher Award

Assist Prof Dr. Qinghua Yang | Sensor Fusion Award | Best Researcher Award

Assist Prof Dr. Qinghua Yang, Shanghai university, China

Yang Qinghua, born in August 1980, is currently a Special Associate Researcher at Shanghai University’s School of Mechanical Engineering. He holds a Ph.D. from the School of Automation Science and Electrical Engineering at Beihang University (2008-2012), a Master’s degree from Shandong University of Technology in Computer Science (2005-2008), and a Bachelor’s degree from the College of Engineering and Technology at the same institution (2003-2005). His research areas include integrated avionics testing for civil aircraft, indoor positioning sensors, and the development of aircraft bus signal simulators. He has led and participated in numerous high-profile research projects, including collaborations with China Commercial Aircraft Co., LTD., and the Ministry of Industry and Information Technology. Notable projects include the development of PACU simulators, high-frequency communication failure mechanisms, and aircraft hydraulic energy system testing.

Professional Profile:

Summary of Suitability:

Qinghua Yang’s research covers critical technological advancements in sensing systems, avionics, and autonomous control, making him a well-rounded and highly deserving candidate for the Best Researcher Award. His multidisciplinary expertise, innovative methods, and leadership in both academic and applied research projects underline his exceptional contributions to science and engineering.

Education Experience:

  • Ph.D. in Automation Science and Electrical Engineering, Beihang University (2008.9 – 2012.6)
  • Master’s Degree in Computer Science, Shandong University of Technology (2005.9 – 2008.7)
  • Bachelor’s Degree in Engineering and Technology, Shandong University of Technology (2003.9 – 2005.7)

Work Experience:

  • Special Associate Researcher at Shanghai University, School of Mechanical Engineering
    • Focus areas:
      1. Integrated avionics integrated test for civil aircraft
      2. Indoor positioning sensors
      3. Research and development of aircraft bus signal and corresponding ground reception signal simulator

Publication top Notes:

A Novel Method and System Implementation for Precise Estimation of Single-Axis Rotational Angles

Optimization of PMSM for EV based on Vibration and Noise Suppression

Multi-Scale Indoor Scene Geometry Modeling Algorithm Based on Segmentation Results

Movable Surface Rotation Angle Measurement System Using IMU

An improved torque sensorless speed control method for electric assisted bicycle with consideration of coordinate conversion

Autonomous Trajectory Tracking Control for a Large‐Scale Unmanned Helicopter under Airflow Influence