Peng Yang | Electronic Devices | Best Researcher Award

Dr. Peng Yang| Electronic Devices | Best Researcher Award

student at National University of Defense Technology, China

Peng Yang is a dedicated researcher pursuing a Ph.D. at the National University of Defense Technology, focusing on cutting-edge advancements in electronic science and technology. With an M.S. in Microelectronics and Solid-State Electronics from Sun Yat-Sen University, Peng has consistently demonstrated excellence in the fields of ferroelectric transistors, neuromorphic computing, optoelectronic devices, and biosensing. His passion lies in bridging theoretical knowledge with practical applications, driving innovation in emerging electronic technologies.

Publication Profile

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📚 Education

🎓 M.S. in Microelectronics and Solid-State Electronics – Sun Yat-Sen University, Guangzhou, 2020🎓 Ph.D. Candidate in Electronic Science and Technology – National University of Defense Technology, Changsha (ongoing)
Peng’s academic journey reflects a strong foundation in microelectronics and an ongoing pursuit of deeper expertise in advanced electronic systems.

💼 Experience

🔬 Ph.D. Researcher – National University of Defense Technology (2020–Present)📡 Graduate Research Assistant – Sun Yat-Sen University (2018–2020)
Peng’s hands-on experience spans across semiconductor device design, fabrication, and innovative electronic component research.

🏆 Awards and Honors 

🏅 Best Paper Award – International Conference on Advanced Electronics (2022)🌟 National Scholarship for Academic Excellence (2019)🏆 Research Excellence Award – Sun Yat-Sen University (2020)
Peng’s dedication to his field is recognized by prestigious awards, celebrating his contributions and academic achievements.

🔍 Research Focus 

🔋 Ferroelectric Transistors🧠 Neuromorphic Computing💡 Optoelectronic Devices🩺 Biosensing Technologies
Peng Yang’s research drives the development of next-generation electronics, focusing on technologies that blend computational power with innovative sensing capabilities.

Publications 📖

Multistates and Ultralow-Power Ferroelectric Tunnel Junction by Inserting Al₂O₃ Interlayer
📅 IEEE Transactions on Electron Devices, 2025-01
🔗 DOI: 10.1109/TED.2024.3503533
👥 Contributors: Yefan Zhang, Shihao Yu, Peng Yang, Xiaopeng Luo, Hui Xu, Xi Wang, Haijun Liu, Sen Liu, Qingjiang Li

Fully Electrically Modulated Hetero-Synapses With Lateral Multigate Ferroelectric Thin Film Transistor
📅 IEEE Transactions on Electron Devices, 2024
🔗 DOI: 10.1109/ted.2024.3456775
👥 Contributors: Peng Yang, Hui Xu, Shihao Yu, Yang Liu, Bing Song, Haijun Liu, Sen Liu, Qingjiang Li

The Optical-Electronic Integrated Spiking Neurons Based on Antiferroelectric Thin-Film Transistors
📅 IEEE Transactions on Electron Devices, 2024
🔗 DOI: 10.1109/ted.2024.3450440
👥 Contributors: Luo Xiaopeng, Peng Yang, Yu Shihao, Xu Guo, Yefan Zhang, Yang Liu, Yi Sun, Yinan Wang, Sen Liu, Qingjiang Li

Tailoring Dynamic Synaptic Plasticity in FeTFT Optoelectronic Synapse for Associative Learning
📅 Advanced Electronic Materials, 2024-12-30
🔗 DOI: 10.1002/aelm.202400732
👥 Contributors: Peng Yang, Hui Xu, Xiaopeng Luo, Shihao Yu, Yang Liu, Yefan Zhang, Xu Guo, Bing Song, Zhiwei Li, Sen Liu

Inhibiting the Imprint Effect of the TiN/HZO/TiN Ferroelectric Capacitor by Introducing a Protective HfO2 Layer
📅 AIP Advances, 2024-08-01
🔗 DOI: 10.1063/5.0222725
👥 Contributors: Yu Shihao, Yefan Zhang, Peng Yang, Xiaopeng Luo, Zhenyuan Sun, Haijun Liu, Sen Liu

Multistate Capability Improvement of BEOL Compatible FeFET by Introducing an Al2O3 Interlayer
📅 IEEE Transactions on Electron Devices, 2023-11
🔗 DOI: 10.1109/ted.2023.3309776
👥 Contributors: Yu Shihao, Qin Wang, Yefan Zhang, Peng Yang, Xiaopeng Luo, Haijun Liu, Changlin Chen, Qingjiang Li, Sen Liu

A Large Memory Window and Low Power Consumption Self‐Rectifying Memristor for Electronic Synapse
📅 Electronics Letters, 2023-01
🔗 DOI: 10.1049/ell2.12717
👥 Contributors: Qingjiang Li, Shihao Yu, Peng Yang, Qin Wang, Sen Liu

Improved Symmetry of Ferroelectric Switching in HZO Based MFM Capacitors Enabled by High Pressure Annealing
📅 IEEE Journal of the Electron Devices Society, 2022
🔗 DOI: 10.1109/jeds.2022.3221727
👥 Contributors: Qin Wang, Yefan Zhang, Peng Yang, Rongrong Cao, Haijun Liu, Hui Xu, Sen Liu, Qingjiang Li

🔹 Conclusion

Peng Yang is a strong candidate for a Best Researcher Award, given his contributions to cutting-edge technologies and an impressive publication record. While his collaborative achievements stand out, focusing on individual accolades, project leadership, and public engagement will further bolster his eligibility. Overall, his research trajectory reflects immense promise, positioning him as a rising star in the field of microelectronics and solid-state devices.

Haoyu Wang | Sensor | Best Researcher Award

Dr. Haoyu Wang |  Sensor | Best Researcher Award

Doctor at Dalian Jiaotong University, China

Dalian Jiaotong University Ph.D. candidate in Mechatronics | 📚 Published 4 first-author and 2 co-authored papers in JCR Q1/Q2 journals | 🎯 Expert in thin-film thermocouples, intelligent temperature monitoring, and machine learning models for surgical safety.

 

Publication Profile

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Education🎓

Doctorate in Mechatronics (2022–Present), Dalian Jiaotong University, advised by Prof. Cui Yunxian Master’s in Mechatronics (2020–2022), Dalian Jiaotong University, advised by Prof. Cui Yunxia Bachelor’s in Industrial Engineering (2016–2020), Dalian Jiaotong University Extensive academic achievements with a focus on nanocomposite sensor technology and temperature monitoring systems.

Experience🔬

Developed NiCr/NiSi thin-film thermocouples using magnetron sputtering Revealed second-order dynamic characteristics through nanosecond laser experiments Engineered a wireless temperature monitoring system for bone drilling, enhancing surgical safety Integrated machine learning models to optimize heat management in medical procedures

Awards & Honors🏆

4 publications in prestigious journals like Measurement (IF 5.2) & Materials (IF 3.1) Corresponding author for 2 groundbreaking studies on CFRP drilling and transient temperature measurement Contributed significantly to advancing high-precision temperature sensors in healthcare and manufacturingRecognized for innovative research in dynamic thermocouple performance and intelligent monitoring systems.

Research Focus🌡️ 

Mechanism of Dynamic Characteristic Regulation for Thin-Film Thermocouples (TFTCs  Intelligent Monitoring of Bone Drilling Temperature using machine learning Transient heat transfer modeling to enhance thermocouple stability and speed Developing real-time surgical temperature monitoring systems to prevent thermal bone damage

Publication  Top Notes

Nanosecond-level Second-order Characteristics in Dynamic Calibration of Thin Film Thermocouples

Authors: Wang, H.; Cui, Y.; Mingfeng, E.; Ding, W.; Yin, J.

Journal: Measurement, 2024, 238, 115165

Summary: This paper presents a novel dynamic calibration technique for thin-film thermocouples (TFTCs) using short-pulse lasers, achieving nanosecond-level precision.

2. Research on a Dedicated Thin-Film Thermocouple Testing System for Transient Temperature Measurement

Authors: Xie, Y.; Cui, Y.; Wang, H.; Feng, W.

Journal: Measurement Science and Technology, 2024, 35(8), 085117

Summary: This study develops a specialized testing system for measuring transient temperatures, significantly enhancing the accuracy of TFTC performance evaluation.

3. Thermoelectric Electromotive Force Oscillation of NiCr/NiSi Thin Film Thermocouple

Authors: Sun, Y.; Liu, Z.; Hao, Y.; Cui, Y.; Ding, W.

Journal: Small, 2024, 20(23), 2308002

Summary: Investigates oscillation behaviors in NiCr/NiSi TFTCs under dynamic conditions, contributing to sensor stability improvements at high temperatures.

4. Fast Reconstruction of Milling Temperature Field Using CNN-GRU Models

Authors: Ma, F.; Wang, H.; E, M.; Cui, Y.; Yin, J.

Journal: Frontiers in Neurorobotics, 2024, 18, 1448482

Summary: This research leverages CNN-GRU machine learning models for real-time reconstruction of temperature fields in milling processes, optimizing thermal management.

5. A Novel Sensor with High-Temperature Performance for In-Situ Measurement

Authors: Cui, Y.; Song, Y.; Wang, H.; Wang, X.; Yin, J.

Conference: Journal of Physics: Conference Series, 2024, 2760(1), 012046

Summary: Introduces a high-temperature sensor designed for in-situ applications, demonstrating superior heat resistance and measurement accuracy.

6. Design and Fabrication of a Thermopile-Based Thin Film Heat Flux Sensor

Authors: Cui, Y.; Liu, H.; Wang, H.; Ding, W.; Yin, J.

Journal: Coatings, 2022, 12(11), 1670

Summary: Details the creation of a lead-substrate integrated thermopile-based sensor, enhancing heat flux measurement precision.

7. Nanocomposite Thin-Film Temperature Sensors in Milling Processes

Authors: Cui, Y.; Wang, H.; Cao, K.; Ding, W.; Yin, J.

Journal: Materials, 2022, 15(20), 7106

Summary: Focuses on developing nanocomposite TFTCs for enhanced temperature sensing during milling, ensuring precise thermal management.

8. Development of a High-Temperature Thin Film Heat Flux Sensor

Authors: Cui, Y.; Huang, J.; Cao, K.; Wang, H.; Yin, J.

Journal: Yi Qi Yi Biao Xue Bao, 2021, 42(3), pp. 78–87

Summary: Describes the development of advanced high-temperature thin-film sensors, with applications in industrial heat measurement systems.

Conclusion

Haoyu Wang is a strong candidate for the Best Researcher Award due to his innovative contributions to sensor technology, demonstrated publication excellence, and successful interdisciplinary applications. His work on intelligent temperature monitoring in bone drilling is not only pioneering but also bridges a critical gap between medical and engineering sciences. With broader application exploration and increased global exposure, he has the potential to become a leading figure in the field of sensor technology.