Dr. Xingjia Li is a promising early-career researcher who earned his Ph.D. in Mechanical Engineering from Jiangsu University in 2023. He is currently a Postdoctoral Associate at the postdoctoral workstation of Shanghai Liangxin Electrical Co., Ltd. in Shanghai, China. His research focuses on robotics and electrical systems, with a particular emphasis on sensor data processing using machine learning techniques. Dr. Li is dedicated to advancing human-centered applications by enhancing the reliability, intelligence, and security of robotic systems in daily life. His interdisciplinary approach integrates mechanical engineering, electronics, and artificial intelligence, aligning with the evolving demands of modern technology. While still in the early stages of his research career, his industry collaboration and applied research focus position him as a strong candidate for future leadership in his field. Dr. Li’s work holds potential for significant contributions to smart systems and intelligent automation in real-world environments.

Professional Profile 

ORCID Profile

Education

Dr. Xingjia Li obtained his Ph.D. in Mechanical Engineering from Jiangsu University, Zhenjiang, China, in 2023. During his doctoral studies, he focused on the integration of robotics and intelligent systems, building a strong foundation in both theoretical and applied aspects of mechanical and electrical engineering. His education emphasized sensor systems, automation, and machine learning, which prepared him for interdisciplinary research and practical implementation in advanced robotics. Dr. Li demonstrated strong academic performance and research capabilities throughout his graduate studies, contributing to academic discussions and research forums. His educational background reflects a rigorous training in engineering principles, analytical thinking, and innovation, which has shaped his approach to problem-solving in complex systems. Through research projects, seminars, and collaboration with faculty, he developed a deep understanding of how mechanical systems can be enhanced through intelligent control and data-driven methods, laying the groundwork for his postdoctoral research and future contributions to intelligent automation.

Professional Experience

Following his Ph.D., Dr. Xingjia Li joined the postdoctoral workstation at Shanghai Liangxin Electrical Co., Ltd., a key player in the electrical technology industry. In this role, he has been actively involved in research and development, focusing on advanced robotics and intelligent systems. His work emphasizes real-world implementation of sensor-based machine learning techniques to enhance system performance, reliability, and human-machine interaction. At Liangxin, Dr. Li collaborates with both engineering teams and academic partners to design and improve intelligent robotic systems that can operate efficiently in complex environments. His professional experience bridges academia and industry, allowing him to apply theoretical models to practical challenges in automation and electrical systems. This hands-on engagement with cutting-edge technologies has not only expanded his technical skill set but also positioned him as a valuable contributor in the emerging fields of smart manufacturing and AI-powered industrial automation, where reliability and adaptive performance are critical.

Research Interest

Dr. Xingjia Li’s research interests lie at the intersection of robotics, electrical systems, and machine learning, with a strong focus on sensor data processing for human-centered applications. He is passionate about enhancing the intelligence, reliability, and safety of robotic systems operating in dynamic environments. His work aims to empower robots with the ability to interpret complex sensory inputs through machine learning algorithms, thereby enabling real-time decision-making and adaptive behavior. He is particularly interested in applications that improve quality of life, such as assistive robotics, industrial automation, and intelligent monitoring systems. By integrating advanced data analytics and control strategies, Dr. Li seeks to develop systems that can function autonomously with minimal human intervention while maintaining high levels of trust and safety. His interdisciplinary approach combines the strengths of mechanical design, signal processing, and artificial intelligence, positioning him to contribute meaningfully to the advancement of next-generation robotics and smart systems.

Award and Honor

As a rising researcher in the field of intelligent robotics, Dr. Xingjia Li is at the beginning of his professional recognition journey. While specific awards and honors have not been listed in the available information, his acceptance into a postdoctoral research position at Shanghai Liangxin Electrical Co., Ltd. itself signifies recognition of his academic potential and technical proficiency. The opportunity to work in a dedicated industrial research environment reflects a high level of trust in his expertise and capability to contribute to meaningful innovation. His early involvement in cutting-edge projects and interdisciplinary work also positions him as a strong candidate for future academic and industrial awards. As he continues to publish research, develop prototypes, and contribute to real-world solutions, it is expected that Dr. Li will accumulate professional honors that recognize his growing impact in the fields of robotics, electrical systems, and intelligent automation technologies.

Conclusion

Dr. Xingjia Li is an emerging researcher whose interdisciplinary expertise bridges mechanical engineering, robotics, and artificial intelligence. With a strong educational foundation from Jiangsu University and practical postdoctoral experience at Shanghai Liangxin Electrical Co., Ltd., he is well-positioned to make significant contributions to the field of intelligent systems. His research aims to improve human-robot interaction and automation reliability through advanced sensor data processing and machine learning techniques. Though still in the early stages of his career, Dr. Li’s work shows great promise for practical impact in industry and society. His commitment to innovation, real-world application, and cross-disciplinary collaboration sets the stage for a distinguished research trajectory. With continued focus, publication, and recognition, Dr. Li has the potential to emerge as a thought leader in the development of smart, adaptive, and secure robotic systems that support both industrial and human-centered needs.

Publications Top Notes

• Title: Optimization of Piezoelectric Energy Harvester Using Equilibrium Optimizer Algorithm
  Authors: Jian Sun, X. J. Li, J. N. Gu, M. L. Pu, H. Chen
  Year: 2022
  DOI: 10.1109/spawda56268.2022.10046019Semantic Scholar+44ResearchGate+44SciSpace+44

• Title: Tuning ANFIS Using a Simplified Sparrow Search Algorithm
  Authors: Xingjia Li
  Year: 2022
  DOI: 10.3233/ATDE220091

• Title: A Numerical Approach for Flexoelectric Energy Harvester Modeling Using COMSOL Multiphysics
  Authors: X. J. Li, J. Sun, M. L. Pu
  Year: 2021
  DOI: 10.1109/spawda51471.2021.9445427ResearchGate+1ResearchGate+1

• Title: A Fusion Parameter Method for Classifying Freshness of Fish Based on Electrochemical Impedance Spectroscopy
  Authors: Jian Sun, Yuhao Liu, Gangshan Wu, Yecheng Zhang, Rongbiao Zhang, X. J. Li, Daniel Cozzolino
  Year: 2021
  DOI: 10.1155/2021/6664291Unglue It Files+1MDPI+1

• Title: Research on the Actuation Performance of 2D-Orthotropic Piezoelectric Composite Materials Linear Phased Array Transducer
  Authors: Ziping Wang, Xingjia Li, Fuh-Gwo Yuan, Zhujie Bao
  Year: 2019
  DOI: 10.1166/jnn.2019.16814ResearchGate+1ResearchGate+1

• Title: Design and Optimization for Double-Sided Interdigital Transducer with Piezoelectric Substrate
  Authors: Lei Qian, Zi-ping Wang, Xing-jia Li, Jie Zhao
  Year: 2019
  Citations: 2
  Source: ResearchGateResearchGate+1ResearchGate+1ResearchGate

• Title: Study on Attenuation Properties of Surface Wave of AE Simulation Source Based on OPCM Sensor Element
  Authors: Ziping Wang, Xian Xue, Xingjia Li, Zhengxuan Jiang, Karthik Reddy
  Year: 2018
  DOI: 10.1155/2018/6926594Wiley Online Library+3Google Scholar+3Semantic Scholar+3

• Title: Effects of Two Nano-ZnO Processing Technologies on the Properties of Rubber
  Authors: Qiang He, Yangjing Zhou, Guangfei Wang, Bo Zheng, Ming Qi, Xingjia Li, Linghao Kong
  Year: 2018
  Citations: 25
  DOI: 10.1007/s13204-018-0871-0SciSpace+1ResearchGate+1

• Title: Simulation and Optimal Design of Acoustic Field of Orthotropic Piezoelectric Composite Material Ultrasonic Phased Linear Array Actuator
  Authors: Xingjia Li
  Year: 2018
  DOI: 10.1166/sl.2018.3931ResearchGate

• Title: Flexoelectric Effect on Vibration of Piezoelectric Microbeams Based on a Modified Couple Stress Theory
  Authors: Xingjia Li, Ying Luo
  Year: 2017
  DOI: 10.1155/2017/4157085

• Title: Size-Dependent Postbuckling of Piezoelectric Microbeams Based on a Modified Couple Stress Theory
  Authors: Xingjia Li, Ying Luo
  Year: 2017
  DOI: 10.1142/s1758825117500533