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.
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š Early Academic Pursuits
Huan Wang began his academic journey at Nanjing Institute of Technology, where he pursued a Bachelorās 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.
š§āš 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 Chinaās scientific instrumentation and aerospace technology communities.
š Contributions and Research FocusĀ
Wangās 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 Chinaās scientific instrument case library, positioning him as a key contributor in sensor intelligence and precision metrology.
š 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 Chinaās 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.
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.
š 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.
š Teaching and Mentoring ExperienceĀ
While formal teaching roles arenāt 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.
š Awards and HonorsĀ
Huan Wangās 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 heās 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.
š® 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