Dr. Mingliang Zheng | Mechanical Sensors | Best Researcher Award

Dr. Mingliang Zheng, huainan normal university, China

Dr. Zheng Mingliang is a distinguished professor at the School of Mechanical and Electrical Engineering, Huainan Normal University, Huainan, China. He earned his Ph.D. in Mechanical and Control Engineering from Zheng Sci-Tech University, Hangzhou, in 2018. His primary research interests span the interdisciplinary fields of mathematics and mechanics, dynamics, and image processing. Dr. Zheng has made significant contributions to his areas of expertise, with over fifty academic papers published as the first author. His consistent scholarly output reflects his dedication to advancing theoretical and applied research. He is recognized for his academic rigor and his role in mentoring young researchers. Dr. Zheng’s research excellence and leadership make him a strong candidate for the Research for Best Researcher Award.

Professional Profile:

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Summary of Suitability – Best Researcher Award: Dr. Zheng Mingliang

Dr. Zheng Mingliang is a distinguished academic and highly suitable candidate for the Best Researcher Award, demonstrating a robust track record in interdisciplinary research and academic excellence. With a Ph.D. in Mechanical and Control Engineering from Zheng Sci-Tech University (2018), he currently serves as a professor at the School of Mechanical and Electrical Engineering, Huainan Normal University, where he contributes to both foundational and applied sciences.

👨‍🎓 Education

🎓 Ph.D. in Mechanical and Control Engineering
Zheng Sci-Tech University, Hangzhou, China
📅 Graduated in 2018

👨‍🏫 Work Experience

🏫 Professor
School of Mechanical and Electrical Engineering
Huainan Normal University, Huainan 232038, China
📧 Email: liangmingzheng@hnnu.edu.cn
🔗 ORCID: 0000-0001-5681-0051

🧠 Research Interests

📐 Mathematics and Mechanics
⚙️ Dynamics
🖼️ Image Processing

🏆 Achievements

✍️ Published over 50 academic papers as first author in peer-reviewed journals
📊 Significant contributions to interdisciplinary fields combining mathematical modeling, mechanical analysis, and image computation

🎖️ Awards and Honors

🏅 Recognized for high-impact research publications (specific awards not mentioned; subject to user update if available)
📚 Often cited in research related to mechanical systems and computational imaging

Publication Top Notes:

R 0 estimation for COVID-19 pandemic through exponential fit.

Symmetries and Invariant Solutions for the Coagulation of Aerosols

Numerical Simulation of Condensation Heat Transfer and Structural Optimization in Dryer of Paper Machine

Quantitative analysis for the spread range of malignant tumor based on Lie symmetry

Lie symmetries and conserved quantities of the singular mechanico-electrical coupling systems

Noether symmetries and conserved quantities of fractional nonconservative singular systems

Study on symmetries and conserved quantities of mechanical multibody system collision dynamics

The noether theorem for nonlinear optimal control problems of mechanical multibody system dynamics

Introduction of Mechanical sensors (inertial, pressure, and tactile)

Mechanical sensors, encompassing inertial, pressure, and tactile sensors, are the unsung heroes behind many technological advancements. They provide the ability to measure and respond to physical forces, enabling applications in areas such as automotive safety, medical devices, robotics, and consumer electronics.

Inertial Sensors:

Investigating the development of accelerometers and gyroscopes for measuring acceleration and angular velocity, respectively, with applications in navigation, motion analysis, and stabilization systems.

Pressure Sensors:

Focusing on the design and calibration of pressure sensors that can measure a wide range of pressures, from atmospheric pressure to high-pressure environments, for use in industrial, medical, and automotive applications.

Tactile Sensors:

Exploring the creation of tactile sensors that mimic the human sense of touch, enabling robots and prosthetic devices to perceive and interact with their environment with a high degree of sensitivity and dexterity.

Microelectromechanical Systems (MEMS):

Delving into MEMS-based sensor technologies, which miniaturize mechanical sensors to fit on a microscale, offering advantages in size, power consumption, and cost for various applications.

Sensor Fusion and Integration:

Analyzing strategies for integrating multiple types of mechanical sensors, along with other sensor modalities such as optical and electromagnetic sensors, to provide comprehensive data for complex applications like autonomous vehicles and wearable devices.