Haoyu Wang | Sensor | Best Researcher Award

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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

scopus

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.

Hugo Bildstein | Sensor-based Control | Best Researcher Award

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Dr. Hugo Bildstein | Sensor-based Control | Best Researcher Award

Dr. LAAS-CNRS, France

Hugo Bildstein is a PhD candidate and Temporary Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, affiliated with the RAP team at LAAS-CNRS. His academic background includes a Master’s degree in Robotics from Toulouse and a previous engineering degree in Mechatronics from ENS Rennes. Hugo’s research focuses on visual predictive control for mobile manipulators, with notable publications in leading journals and conferences, including Robotics and Autonomous Systems (RAS) and IEEE/ASME AIM. His work explores strategies for improving visibility, manipulability, and stability in robotic systems.

Professional Profiles:

scopus

Academic Background 🎓:

Hugo Bildstein is currently a Temporary Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, working within the RAP team at LAAS-CNRS, Toulouse. His academic journey includes a PhD at the same university from 2020-2024, following a Master’s degree in Robotics: Decision and Control (RODECO) at the University of Toulouse 3 – Paul Sabatier. Hugo also holds a Master’s degree in Mechatronics from ENS Rennes and ranked 11th in the Agrégation in Industrial Engineering Sciences, Electrical Engineering option in 2019.

Research Activities and  📚:

Hugo’s research focuses on enhancing visual predictive control for mobile manipulators. His work includes:“Visual Predictive Control for Mobile Manipulators: Visibility, Manipulability, and Stability” – to be published in Robotics and Autonomous Systems (RAS) in 2024.“Enhanced Visual Predictive Control Scheme for Mobile Manipulators” – presented at the 2023 European Conference on Mobile Robots (ECMR) in Coimbra, Portugal.“Multi-camera Visual Predictive Control Strategy for Mobile Manipulators” – showcased at the 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) in Seattle, USA.“Visual Predictive Control Strategy for Mobile Manipulators” – discussed at the 2022 European Control Conference (ECC) in London, United Kingdom.

Research Analysis for Hugo Bildstein

Strengths for the Award:

  1. Innovative Contributions: Hugo Bildstein’s research focuses on cutting-edge topics in robotics, particularly visual predictive control for mobile manipulators. His work on enhancing control schemes through multi-camera strategies and visual feedback systems is highly relevant and forward-thinking in the field of robotics and autonomous systems.
  2. Diverse Research Outputs: Bildstein has published several papers in prestigious journals and conferences, demonstrating a consistent and impactful research output. His papers, such as those presented at the European Conference on Mobile Robots (ECMR) and the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), highlight significant contributions to the field.
  3. Academic Excellence: His strong academic background, including a PhD in Robotics and a Master’s degree in Robotics and Control, coupled with high rankings in competitive exams like the Agrégation in Industrial Engineering Sciences, underscores his deep expertise and commitment to the field.
  4. Teaching and Research Experience: As a Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, Bildstein not only engages in advanced research but also contributes to academic teaching, showcasing his ability to bridge research and education effectively.

Areas for Improvement:

  1. Citation Impact: While Bildstein has several publications, some of his recent papers have yet to accumulate significant citations. Increasing the visibility and impact of his work through broader dissemination and collaboration could enhance his academic profile.
  2. Interdisciplinary Applications: Expanding research to explore interdisciplinary applications of his work could provide broader impact and open new avenues for practical implementation of his findings.
  3. Research Collaboration: Engaging in collaborative research with industry partners or other academic institutions could provide additional resources and perspectives, potentially leading to more comprehensive studies and real-world applications.

Conclusion:

Hugo Bildstein is a promising candidate for the Best Researcher Award due to his innovative contributions to the field of robotics, particularly in visual predictive control for mobile manipulators. His strong academic background, diverse research outputs, and active role in teaching and research highlight his potential and dedication. Addressing areas such as citation impact and interdisciplinary applications could further enhance his standing in the research community.

✍️Publications Top Note :

1. Enhanced Visual Predictive Control Scheme for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville, V. Cadenat

Citations: 0

2. Multi-camera Visual Predictive Control Strategy for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville, V. Cadenat

3. Visual Predictive Control Strategy for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville
Citations: 2
Access: Open access

Ye Shaowei | wavefront sensening | Best Researcher Award

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Dr. Ye Shaowei | wavefront sensening | Best Researcher Award

Dr. Sun Yat-sen University, China

Shaowei Ye is a dedicated researcher currently pursuing a Doctor of Science in Physics at Sun Yat-sen University. His research primarily focuses on laser ranging and adaptive optics, where he is working on correcting aberrations in laser ranging systems. With a strong background in vehicle engineering from Xiamen University of Technology, Shaowei has contributed to several patents and publications in prestigious journals. He has been recognized with awards for his work, including the Best Poster Award at the TianQin Project. Proficient in software like Zemax, Matlab, and Python, Shaowei Ye combines technical expertise with innovative research.

Professional Profiles:

Orcid

🧑‍🎓 Educational Background

Shaowei Ye, born in Shangrao, China, is currently pursuing a Doctor of Science in Physics at Sun Yat-sen University, expected to graduate in December 2024. Prior to this, he completed both his Bachelor’s and Master’s degrees in Vehicle Engineering at Xiamen University of Technology, showcasing his diverse academic foundation.

🔬 Research Focus and Project Experience

Sun Yat-sen University, Tianqin Laser Ranging Station (June 2020 – Present) Shaowei’s Ph.D. research is centered on Laser Ranging and Adaptive Optics. He has conducted extensive experiments on Earth-Moon laser ranging and star measurements, aiming to improve the accuracy of telescopic observations by correcting aberrations in a 1.2m telescope. His work at the station also includes volunteering, where he provides tours and explains complex scientific concepts to visitors.

Xiamen University of Technology, Mechanical Innovation Laboratory (March 2016 – December 2019) During his time at Xiamen University of Technology, Shaowei majored in 3D Modeling and Mechanical Design. He played a key role as a primary research assistant in a laser cleaning project, which involved the development of innovative solutions for cleaning automotive tire molds using laser technology.

🛠️ Technical Skills and Research Achievements

Shaowei possesses strong skills in Zemax, Matlab, Python, UG, C++, and 3D MAX. His research on laser cleaning led to several patents, including a utility model patent for a 500W laser cleaning machine. His Ph.D. work on adaptive optics aims to advance the field by addressing the sources of aberrations in laser ranging systems and proposing closed-loop correction methods.

🏆 Honors and Awards

Shaowei has been recognized with numerous accolades throughout his academic career, including:Provincial First Prize in the National College Students’ Mathematical Modeling Competition (2015)Provincial Special Prize in the National College Students’ 3D Modeling Competition (2018)Second Prize in the TianQin Graduate Skills Competition at Sun Yat-sen University (2021)Excellent Second Prize Scholarship for his contribution to the TianQin Satellite Construction at Sun Yat-sen UniversityBest Poster Award in the TianQin Project at Sun Yat-sen University (2024)

📚 Publications and Patents

Shaowei has co-authored several high-impact research papers and holds multiple patents, including:Invention Patent: “A Fully Automatic Ingot-Shaped Wonton Forming Device and Its All-in-One Machine” (2017)Utility Model Patent: “A Laser Cleaning Machine” (2019)SCI Q1 Publication: “Efficiency Testing Method for the Echo Receiving System of Laser Ranging Station” (2023)SCI Q2 Publication: “Near-Infrared Lunar Laser Ranging: Research on Pointing Error of Lunokhod 2 Corner Reflector” (2023)

Research Suitability for Best Researcher Award

Strengths for the Award:

  1. Cutting-Edge Research Contributions: Shaowei Ye has made significant advancements in the field of laser ranging and adaptive optics. His work on enhancing wavefront sensing and adaptive optics technology, particularly his doctoral thesis on active aberration correction, highlights his expertise in addressing complex challenges in optical systems.
  2. Innovative Patents and Publications: Ye’s involvement in multiple patents and high-impact journal articles demonstrates his innovative approach and commitment to advancing technology. His patents, such as those for laser cleaning machines and dry ice cleaning devices, showcase his practical contributions to the field.
  3. Diverse Research Experience: With experience ranging from mechanical innovation and 3D modeling to advanced laser systems, Ye exhibits a broad skill set. His participation in various projects, including those related to laser cleaning and optical system performance, reflects his versatility and depth of knowledge.
  4. Recognition and Awards: Ye’s achievements have been recognized through several awards, including provincial prizes and best poster awards. These accolades underscore his dedication and excellence in research and development.
  5. Technical Proficiency: Ye’s proficiency in software tools such as Zemax, Matlab, and Python, combined with his strong English skills (CET6 and TOEIC 680), further supports his capability to excel in research and effectively communicate his findings.

Areas for Improvement:

  1. Broader Collaboration: While Ye has made significant individual contributions, increased collaboration with international research groups could further enhance the impact and reach of his work. Engaging in joint projects or global research initiatives could provide additional perspectives and opportunities.
  2. Interdisciplinary Applications: Exploring interdisciplinary applications of his research could offer new insights and potential breakthroughs. For example, integrating his work on adaptive optics with emerging technologies in other fields may lead to innovative solutions.
  3. Public Engagement: Increasing visibility and public engagement through outreach activities, such as public talks or educational workshops, could further establish Ye as a leading figure in his field and enhance the societal impact of his research.

Conclusion:

Shaowei Ye is a highly deserving candidate for the Best Researcher Award due to his innovative contributions to laser ranging and adaptive optics, his strong patent portfolio, and his recognition through various awards. His diverse experience and technical skills position him as a leading researcher in his field. Addressing areas for improvement, such as fostering broader collaboration and exploring interdisciplinary applications, could further amplify his impact and contribute to even greater advancements in optical technologies.

✍️Publications Top Note :

1. Analysis and Reduction of Back-Reflection Straylight in Laser Ranging System

Journal: Measurement: Journal of the International Measurement Confederation

Publication Date: 2024

DOI: 10.1016/j.measurement.2024.114907

EID: 2-s2.0-85193820422

ISSN: 02632241

Contributors: Zhou, L.; He, Z.; Li, H.; Ye, S.; Zhou, C.; Han, X.; Wu, X.; Lin, X.; Li, M.

2. Efficiency Testing Method for the Echo Receiving System of Laser Ranging Station

Journal: Optics and Lasers in Engineering

Publication Date: 2024

DOI: 10.1016/j.optlaseng.2024.108061

EID: 2-s2.0-85183993949

ISSN: 01438166

Contributors: Zhou, L.; Han, X.; Ye, S.; Lin, X.; Zhao, H.; Zhu, T.; Li, M.

3. Near-Infrared Lunar Laser Ranging: Research on Pointing Error of Lunokhod 2 Corner Reflector Based on Effective Echo Signal Broadening

Journal: Infrared Physics and Technology

Publication Date: 2024

DOI: 10.1016/j.infrared.2023.105095

EID: 2-s2.0-85182388535

ISSN: 13504495

Contributors: Gao, T.; Xue, L.; Ye, S.

4. Enlarge the Dynamic Range of Shack-Hartmann Wavefront Sensor Based on Biplanar Image Acquisition and Segmentation Method

Journal: Optics and Lasers in Engineering

Publication Date: November 2024

DOI: 10.1016/j.optlaseng.2024.108443

Contributors: Shaowei Ye; Ming Li; Lixiang Zhou; Tianlin Zhu; Xin Li; Xida Han; Xianglin Wu; Xudong Lin