Deputy Director, University of Science and Technology Beijing,China
Xiaolong Wen, Ph.D., is an Associate Professor at the Department of Physics, University of Science and Technology Beijing, China. He specializes in MEMS-based electric field sensors and instrumentation. Dr. Wen holds a Ph.D. from the University of Chinese Academy of Sciences and has had research experiences at prestigious institutions like Tsinghua University and the University of Cambridge. He has led various projects, including the development of high-performance electric field sensors, lightning warning systems, and 3D electric field measurement technologies. His research has contributed significantly to the fields of sensor technology, electrical engineering, and atmospheric research.
Profile
Education
Dr. Xiaolong Wen completed his Bachelor’s degree in Applied Physics at the University of Science and Technology Beijing in 2009. He then pursued his Ph.D. at the Institute of Electronics, University of Chinese Academy of Sciences, focusing on transducer technology and MEMS sensors. He earned his Ph.D. in 2014. Dr. Wen later conducted postdoctoral research at Tsinghua University’s Institute of Microelectronics from 2014 to 2016, where he worked on advanced electric field sensor technologies. He has also served as a Visiting Scholar at the University of Cambridge, Department of Engineering, from 2023 to 2024, further broadening his research network and expertise in sensor technology.
Experience
Dr. Xiaolong Wen’s career spans various academic and research roles. He is currently an Associate Professor at the University of Science and Technology Beijing (2022-present). Prior to this, he was a Lecturer in the same department (2017-2022). His postdoctoral research at Tsinghua University’s Institute of Microelectronics focused on MEMS-based sensors, contributing to the development of innovative technologies in electric field sensing. Dr. Wen has served as a core member and project leader in several national research projects, including those funded by the National Natural Science Foundation of China and the National Key Research and Development Plan of China. His research includes leading advancements in the development, mass manufacturing, and application of MEMS electric field sensors, with contributions in lightning hazard warning systems and high-altitude sensors. His expertise is highly recognized in both academic and industrial circles.
Awards and Honors
Dr. Xiaolong Wen’s work has earned numerous accolades. He won the Top Prize in the China (International) Sensor Innovation Competition in 2014 for his outstanding contributions to sensor technologies. In 2015, he received the 1st Prize in the Beijing Science and Technology Award and the 1st Prize in the Transformation Award of Science and Technology from the Chinese Academy of Sciences, Beijing Branch. In 2022, he was awarded the 3rd Prize in the Chinese Ministry of Education Teaching Instruments Competition for Colleges and Universities, recognizing his excellence in teaching and instrumentation development. He was also honored with the Outstanding Paper Award from the Instrumentation Journal in 2014, a testament to his impactful research in the sensor field. These awards reflect his leadership, innovation, and ongoing contributions to science and technology.
Research Focus
Dr. Xiaolong Wen’s primary research focus is on the development and application of MEMS (Microelectromechanical Systems) electric field sensors. He leads several national projects, including research into 3D electric field sensors, the noise characterization of microsensors, and the development of highly stable and sensitive sensor technologies. His work addresses critical challenges in atmospheric electricity, lightning hazard warning, and high-altitude electric field measurement systems. Dr. Wen’s research aims to improve the performance, reliability, and manufacturing consistency of MEMS-based sensors, applying these advancements to meteorology, public safety, and environmental monitoring. His innovative work in electric field decoupling algorithms, signal processing circuits, and sensor calibration techniques has advanced the practical application of electric field sensors in diverse real-world scenarios.
Publications
- “Design, fabrication, and application of an SOI-based resonant electric field microsensor with coplanar comb-shaped electrodes” 📐⚡
- “A novel MEMS chip-based atmospheric electric field sensor for lightning hazard warning applications” 🌩️🔬
- “A non-intrusive voltage measurement scheme based on MEMS electric field sensors: Theoretical analysis and experimental verification of AC power lines” ⚡📊
- “Enhanced sensitivity and stability of a novel resonant MEMS electric field sensor based on closed-loop feedback” 🔧📏
- “Non-intrusive DC voltage measurement based on resonant electric field microsensors” ⚡📝
- “Toward atmospheric electricity research: A low-cost, highly sensitive, and robust balloon-borne electric field sounding sensor” 🎈⚡
- “Measuring method of three-dimensional atmospheric electric field based on coplanar decoupling structure” 🌍⚡
- “Resolution-enhancing structure for the electric field microsensor chip” 🛠️💡
- “Three-dimensional electric field measurement method based on coplanar decoupling structure” 🌐⚡
- “Design of a novel micromachined non-contact resonant voltage sensor for power distribution systems” ⚡🔌
- “High performance electric field microsensor with combined differential structure” 🔬⚡
- “A novel MEMS chip-based ground atmospheric electric field sensor” 🌍🌩️
- “AC/DC fields demodulation methods of resonant electric field microsensor” 📊⚡
- “Improved microsensor-based fieldmeter for ground-level atmospheric electric field measurements” 🌍🛠️
- “Computation of capacitance and electrostatic forces for electrostatically driving actuators considering fringe effects” 💡⚙️
- “A Washable, Permeable, and Ultrasensitive Sn-Based Textile Pressure Sensor for Health Monitoring” 👗💡
- “Research and development on MEMS-based electric field sensor” 🛠️⚡
- “Humidity-induced charge leakage and field attenuation in electric field microsensors” 💧⚡
- “Study on the multiperiod bipolar inductive absolute angle sensor” 🧭🔧
- “A resonant electrostatic field microsensor with self-compensation for sensitivity drift” 🔄⚡