Wanting Zhu | Engineering and Technology | Best Researcher Award

Wanting Zhu | Engineering and Technology | Best Researcher Award

Ms Wanting Zhu, School of Electronic Information, Central South University, China

Wanting Zhu is pursuing an M.S. in Electronic Science and Technology at Central South University, China, where she earned her B.S. degree in 2022. She has authored four papers, cited over 30 times. Her research focuses on chaos theory and nonlinear dynamics, exploring complex behaviors in dynamic systems, such as multi-cavity maps and neuron behavior. Zhu’s work involves modeling nonlinear chaotic maps, dynamic analyses, and both digital and analog circuit design, aiming to advance understanding in chaotic systems and their applications across various scientific fields. πŸ“šπŸ”¬πŸŒβœ¨

Publication profile

Orcid

Education

Wanting Zhu received her B.S. degree in Electronic Information Science and Technology from Central South University, China, in 2022. She is pursuing her M.S. degree at the same institution, focusing on chaos theory and nonlinear dynamics. She has authored 4 papers, cited over 30 times. Her research involves modeling nonlinear chaotic maps, dynamic analyses, digital and analog circuit design, advancing understanding in chaotic systems. Kehui Sun, a Professor at Central South University since 2006, received his B.S., M.S., and Ph.D. degrees from the same university. Recognized as a Highly Cited Researcher by Elsevier (2020-2023), he has published over 180 papers, holds 6 patents, and received the Hunan Province Third Prize in Natural Science. πŸ“šπŸ”βœ¨πŸ”¬

Research focus

Wanting Zhu’s research focuses on the dynamics, synchronization, and applications of chaotic systems, particularly in discrete neuron-like maps and hyperchaotic maps. This involves studying the behavior of these systems under various conditions and exploring their potential applications in fields like analog circuit implementation and rotational control operations. Zhu’s work spans the development of multi-dimensional hyperchaotic maps and their practical uses, contributing significantly to the understanding and manipulation of complex dynamic systems. This research aids in advancements in chaos theory and its practical implementations. πŸ§ πŸ”„πŸ”¬πŸ“ŠπŸ”§

Publication top notes

Dynamics, synchronization and analog circuit implementation of a discrete neuron-like map with pulsating spiral dynamics

Dynamics of multicavity hyperchaotic maps with rotational control operation and its applications

A class of m-dimension grid multi-cavity hyperchaotic maps and its application

 

 

Ming-Yen Wei | Engineering and Technology | Best Researcher Award

Ming-Yen Wei | Engineering and Technology | Best Researcher Award

Assist Prof Dr Ming-Yen, Wei National Formosa University, Department of Electrical Engineering, Taiwan

Assist. Prof. Dr. Ming-Yen was born in Taichung City, Taiwan πŸ‡ΉπŸ‡Ό on April 20, 1983. He earned his Bachelor’s and Master’s degrees in Electrical Engineering from National Formosa University in 2005 and 2007, and his Ph.D. from National Taiwan University of Science and Technology in 2012 πŸŽ“. After a decade in industrial technical roles, he joined National Formosa University as an Assistant Professor in early 2023 πŸ‘¨β€πŸ«. His research interests include motor drive control, embedded systems, control theory applications, mechatronics, and robotics πŸ€–βš™οΈ.

Publication profile

Scopus

Research focus

Dr. Ming-Yen Wei’s research primarily focuses on the design, control, and implementation of advanced motion control systems and platforms. His work encompasses the development of servo control systems, multi-axis motion chairs, and flight simulators, utilizing CAN bus and microcontroller technologies. Additionally, he has contributed to the creation of motion-cueing algorithms and inverse kinematics for six degrees of freedom (6DoF) platforms. His research has significant applications in robotics, aerospace, and virtual reality simulations, showcasing innovations in precision motion control and system integration.

Publication top notes

Design and Control of a Three-Axis Motion Servo Control System Based on a CAN Bus

Design and Implementation of a New Training Flight Simulator System

Design and Control of a Multi-Axis Servo Motion Chair System Based on a Microcontroller

Design of a DSP-Based Motion-Cueing Algorithm Using the Kinematic Solution for the 6-DoF Motion Platform

Design and implementation of inverse kinematics and motion monitoring system for 6dof platform

Optimal Control-based Motion Cueing Algorithm Design for 6DOF Motion Platform

Design and Implementation of the Inverse Kinematics and Monitoring Module for Six-axis Crank Arm Platform

Design, Analysis, and Implementation of a Four-DoF Chair Motion Mechanism