Huan Wang | Machine Learning in Physics | Best Researcher Award

Published on by High Energy Physics

Dr. Huan Wang | Machine Learning in Physics | Best Researcher Award

Dr. Huan Wang | sun yat-sen university | China

Huan Wang is a motivated and innovative researcher specializing in high-precision temperature compensation algorithms for multi-channel pressure sensors, with an academic foundation in mechanical and electrical engineering and advanced studies in aerospace science and technology at Sun Yat-sen University. Known for integrating artificial intelligence and neural network techniques into instrumentation, his work has earned national recognition, publications in Q2 journals, and application in rocket engine testing systems. Wang exhibits a strong passion for blending engineering precision with AI-based optimization, contributing actively to academic literature, technology innovation, and instrumentation advancements.

šŸ‘Øā€šŸŽ“Profile

Scopus

ORCID

šŸ“˜ Early Academic Pursuits

Huan Wang began his academic journey at Nanjing Institute of Technology, where he pursued a Bachelorā€™s degree in Mechanical and Electrical Engineering. His undergraduate curriculum included engineering mechanics, digital/analog electronics, control systems, PLC technology, and robotics, laying a strong interdisciplinary foundation. Passionate about innovation, he developed projects like mine inspection robots and underwater path planning systems. With early achievements such as winning national competitions and securing patents, Wang demonstrated both creativity and technical competence. This robust background set the stage for his graduate studies at Sun Yat-sen University, where he refined his research focus and pursued aerospace engineering applications.

šŸ§‘ā€šŸ­ Professional EndeavorsĀ 

During his postgraduate studies, Huan Wang engaged in high-level projects involving calibration system development for multi-channel pressure scanners. He worked on designing AI-enhanced algorithms that significantly increased pressure sensor accuracy and reliability. His contributions extend to hardware-software integration, building experimental platforms, and conducting third-party verification for calibration precision. Currently, his work is deployed in ground tests for solid rocket engines, indicating a clear industrial relevance. Wang also contributes as a peer reviewer for conferences like CSU-EPSA and the China Automation Conference, underlining his growing influence within Chinaā€™s scientific instrumentation and aerospace technology communities.

šŸ” Contributions and Research FocusĀ 

Wangā€™s primary research contribution lies in developing temperature compensation algorithms using neural networks (BP, RBF, ANN) optimized by bio-inspired algorithms such as Cuckoo Search, PSO, and Whale Optimization. His studies focus on solving the challenges of nonlinear calibration in multi-channel pressure sensors exposed to dynamic environments. His algorithms, verified through publications and third-party testing, enhanced sensor accuracy to 0.02% F.S, reaching international advanced standards. His research has resulted in multiple journal papers, one national invention patent, and inclusion in Chinaā€™s scientific instrument case library, positioning him as a key contributor in sensor intelligence and precision metrology.

šŸŒ Impact and Influence

The impact of Huan Wang’s research is evident through its application in real-world aerospace systems, especially in rocket engine testing. His work bridges the gap between academic theory and engineering application, improving the accuracy and reliability of sensors used in extreme conditions. His research has been published in Q2 international journals, reflecting global academic interest. By contributing to Chinaā€™s technological competitiveness in instrumentation, and by serving as a conference reviewer, Wang influences both present and upcoming scholars in the domain. His work on generalizable AI-based calibration algorithms holds potential across various industries, from aerospace to smart manufacturing.

šŸ“š Academic Cites and Publications

Huan Wang is credited with multiple peer-reviewed publications in journals such as Micromachines and Measurement Science and Technology (JCR: Q2). His studies cover optimization techniques applied to BP and RBF neural networks for pressure sensor calibration. Notable works include papers on Cuckoo Search, Whale Algorithm, and PSO-based optimization, all accepted or published in reputable journals. He is also co-author of a comprehensive review on pressure scanner systems and a national patent on a sealing device. His inclusion in China’s Research Instrument Case Library further highlights the scholarly importance and real-world application of his academic output.

šŸ› ļø Research SkillsĀ 

Wang possesses advanced research skills in AI algorithm design, neural network modeling, and optimization techniques. He is proficient in using MATLAB/Simulink for simulation, and UG NX for CAD modeling, essential for prototyping sensor systems. His practical abilities in sensor testing, data analysis, and experimental setup construction are matched by a deep understanding of control systems and embedded hardware. With additional competencies in academic paper writing, literature reviews, and scientific presentation, he bridges engineering theory and hands-on application. His skills are reinforced by strong English proficiency, demonstrated by certifications like CET-6, Business English Certificate, and national language contests.

šŸŽ“ Teaching and Mentoring ExperienceĀ 

While formal teaching roles arenā€™t extensively documented, Huan Wang has shown strong involvement in academic dissemination through his roles as a reviewer and conference participant. His background suggests experience in mentoring junior students during summer camps and national competitions, such as the Jiangsu Winter Camp and Invention Cup. His contribution to the case library implies he has likely presented or shared his research methods with broader technical audiences. Given his technical writing and public speaking experience, he is well-prepared for future roles in academic instruction, lab supervision, or graduate mentorship within fields of automation and intelligent instrumentation.

šŸ† Awards and HonorsĀ 

Huan Wangā€™s achievements are recognized through numerous honors. He received the National Scholarship for graduate students and consistently ranked among the top at Sun Yat-sen University, winning First-, Second-, and Third-class scholarships. As an undergraduate, he secured first prize in the Jiangsu innovation competition, and patents for smart furniture. His work has earned places in scientific innovation libraries, and heā€™s a reviewer for national-level academic conferences. He also completed elite summer schools on AI and optoelectronics, reflecting academic curiosity. These accolades confirm his excellence in research, innovation, and academic engagement, making him a strong candidate for future awards.

šŸ”® Legacy and Future ContributionsĀ 

Huan Wang is poised to leave a legacy in smart instrumentation and precision calibration through continued contributions in AI-integrated sensor technology. His work already forms the basis of high-performance aerospace applications, and the scalable nature of his algorithms suggests potential in biomedical sensing, automotive systems, and IoT-based industrial monitoring. As he moves forward, likely towards doctoral research or industrial R&D, his commitment to open research, academic collaboration, and technological advancement will grow. With his blend of engineering knowledge, AI expertise, and research rigor, Wang is set to play a transformative role in the next generation of intelligent systems.

Top Noted Publications

KERNEL EXTREME LEARNING MACHINE COMBINED WITH GRAY WOLF OPTIMIZATION FOR TEMPERATURE COMPENSATION IN PRESSURE SENSORS

  • Authors: Wang, Huan; Wu, Ting; Liu, Pan; Zou, Yijun; Zeng, Qinghua
    Journal: Metrology and Measurement Systems
    Year: 2025

A two-hidden-layer neural network based on the Rime optimization algorithm: application to temperature compensation in a combined-range electronic pressure scanner

  • Authors: Huan Wang; Zongyu Zhang; Ting Wu; Pan Liu; Yijun Zou; Qinghua Zeng
    Journal: Measurement Science and Technology
    Year: 2025

Temperature compensation of a hybrid algorithm optimized neural network: Application to a 64-channel electronic pressure scanner

  • Authors: Huan Wang; Pan Liu; Yijun Zou; Zongyu Zhang; Qinghua Zeng
    Journal: Instrumentation Science & Technology
    Year: 2024

A novel whale-based algorithm for optimizing the ANN approach: application to temperature compensation in pressure scanner calibration systems

  • Authors: Wang, Huan; Zeng, Qinghua; Zhang, Zongyu; Zou, Yijun
    Journal: Measurement Science and Technology
    Year: 2023

Research on Temperature Compensation of Pressure Scanning Valve Based on Improved PSO Optimized RBF

  • Author: Huan Wang
    Journal: Journal of Transduction Technology
    Year: 2023

 

Chuhui Zhang | Machine Learning in Physics | Best Researcher Award

Published on by High Energy Physics

Mr. Chuhui Zhang | Machine Learning in Physics | Best Researcher Award

Nanjing University of Information Science and Technology | China

Chuhui Zhang is a masterā€™s degree candidate at Nanjing University of Information Science & Technology, where he studies Big Data Science and Technology in a Sino-foreign collaboration program. His research focuses on laser system development and intelligent control, specifically in laser system design and control algorithm development. Originally from Wuxi, Jiangsu, he has consistently demonstrated an aptitude for both academic and practical contributions in the field of optical systems.

šŸ‘Øā€šŸŽ“Profile

ORCID

šŸŽ“ Early Academic Pursuits

Zhang’s academic journey began at Jiangsu University, where he earned his Bachelor’s degree in Software Engineering. During his undergraduate years, he distinguished himself with his exceptional leadership and academic achievements, earning accolades such as Three Good Students, Outstanding Student Cadre, and the Outstanding Graduate recognition. He also obtained the CET-6 certification, marking his proficiency in the English language. These early years were formative in shaping his technical skills and research interests in fields such as control algorithms and optical systems.

šŸ› ļø Professional Endeavors

Since 2023, Zhang has been engaged in cutting-edge laser technology projects through his work on the National Natural Science Foundation of China project. His work on high-repetition rate, high-energy mid-infrared picosecond lasers focuses on laser design, time-frequency domain stability control, and ultrafast process measurement. He has also worked on green pulsed laser development and picosecond laser advancements, demonstrating a wide range of expertise across laser systems and optical technologies. Zhangā€™s technical contributions are evident in his work developing mode-locked fiber lasers, self-starting erbium-doped lasers, and hollow-core anti-resonant fibers.

šŸ”¬ Contributions and Research Focus

Zhang’s research focus is primarily on laser system development and intelligent control. His notable contributions include:

  • Developing advanced laser systems such as passively mode-locked ultrafast fiber lasers based on nonlinear polarization rotation.
  • Designing innovative fibers like hollow-core anti-resonant fibers, with a focus on mid-infrared applications.
  • Implementing machine learning algorithms like Particle Swarm Optimization and BFGS optimization to improve mode-locking and control.
  • Utilizing deep learning frameworks such as Pytorch, TensorFlow, and Sklearn to optimize and control ultrafast laser systems.

These projects aim to address some of the most challenging technological gaps in laser science, with an emphasis on achieving higher energy outputs and improved laser performance.

šŸŒ Impact and Influence

Zhang’s work in the field of laser technology has the potential to impact multiple industries, including medical imaging, communications, and scientific research. His development of high-power green pulsed lasers and mode-locked fiber lasers has the ability to transform applications in microscopy, biomedical imaging, and optical communications. The invention patents and published research in respected journals, such as Infrared Physics & Technology, showcase Zhangā€™s growing influence in the laser community and his contributions to cutting-edge innovations in optical technology.

šŸ§‘ā€šŸ« Research Skills

Zhang has developed a comprehensive skill set in:

  • Optical system design, including system construction and optical path debugging.
  • Advanced simulation tools, including COMSOL, Matlab, and SolidWorks for fiber laser design.
  • Deep learning and machine learning skills with Pytorch, TensorFlow, and Sklearn.
  • Practical laboratory experience with instruments such as laser pump sources, spectrometers, and oscilloscopes.

These technical skills equip Zhang to independently handle complex laser system development and research experimentation.

šŸ† Awards and Honors

Zhang’s exceptional academic performance has been recognized through various honors, including:

  • Outstanding Freshman Scholarship and Third-class Scholarship at Nanjing University of Information Science & Technology.
  • Gold Award in the Mathematical Modeling Competition.
  • Gold Medal in the National International College Student Innovation Competition (2024).
  • Outstanding Graduate recognition at Jiangsu University. These awards underscore his academic excellence and research potential.

šŸ… Legacy and Future Contributions

Looking forward, Zhangā€™s research legacy is set to further impact the field of laser system development. His focus on intelligent control algorithms and high-performance lasers offers promising solutions to high-energy laser applications and optical communication systems. In the future, Zhang is expected to continue pushing the boundaries of laser technology, with the potential to influence not only academic and research sectors but also industry applications. With an increasing number of patents and publications, Zhangā€™s future contributions are likely to shape the trajectory of optical sciences and laser engineering.

Publications Top Notes

Intelligent controllable ultrafast fiber laser via deep learning and adaptive optimization algorithm

  • Authors: Chuhui Zhang, Pengfei Xiang, Wei Zhu, Chen Chen, Xueming Liu
  • Journal: Infrared Physics & Technology
  • Year: 2024