🔹 Education & Experience
🎓 Ph.D. in Mechanical Engineering – Jiangsu University, Zhenjiang, China (2023)
🧪 Postdoctoral Associate – Shanghai Liangxin Electrical Co., Ltd., Postdoctoral Workstation, Shanghai, China (2023–Present)
🔬 Research Interests – Robotics 🤖, Electrical Systems ⚡, Sensor Data Processing with Machine Learning 📈
🔗 Application Areas – Human-centered Systems 🧍♂️🛡️, Automation 🤝, Smart Devices 📲
🔹 Professional Development
Dr. Li is committed to continuous professional growth through industrial collaboration and advanced research 🤝🧪. At Shanghai Liangxin Electrical Co., Ltd., he participates in practical projects focused on secure and intelligent automation systems 🔒🤖. He actively engages in interdisciplinary learning, integrating machine learning, AI, and electrical systems to enhance innovation 📚💡. His exposure to both academic and industrial environments enables him to develop real-world applications that solve current technological challenges 🌍🛠️. By staying updated through research networks, technical seminars, and collaboration, Dr. Li positions himself as a forward-thinking researcher 📖🌐.
🔹 Research Focus Category
Dr. Xingjia Li’s research falls under AI-driven robotics and smart electrical systems 🤖⚡. He specializes in applying machine learning techniques to process sensor data 📊🧠, enabling systems to become more intelligent, secure, and adaptive to human needs. His focus includes cyber-physical systems, human-machine interfaces, and automation technologies 💻🔧. These technologies have broad applications in healthcare, industrial automation, and smart homes 🏥🏭🏠. Dr. Li’s interdisciplinary approach combines mechanical engineering, computer science, and electrical design to create next-generation human-centric innovations 🌐🤝.
🔹 Awards & Honors
As a recent Ph.D. graduate and emerging researcher, Dr. Xingjia Li 🎓 is in the early stages of building his academic and professional recognition profile. While there are currently no publicly documented awards or honors 🏅, his active involvement in cutting-edge research projects and collaboration with industry through Shanghai Liangxin Electrical Co., Ltd. 🏢 positions him well for future accolades. With continued publication of impactful research, participation in international conferences 🌐, and contributions to innovation in robotics and machine learning 🤖📊, Dr. Li is poised to earn distinctions such as best paper awards, patents, or young researcher honors in the near future 🌟📈.
Publication Top Notes
1. Optimization of Piezoelectric Energy Harvester Using Equilibrium Optimizer Algorithm
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Conference: 16th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA)
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Date: October 11, 2022
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DOI: 10.1109/spawda56268.2022.10046019
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Contributors: Jian Sun, X. J. Li, J. N. Gu, M. L. Pu, H. Chen
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Summary: This paper presents a novel approach to enhance the efficiency of piezoelectric energy harvesters by applying the Equilibrium Optimizer algorithm, a nature-inspired metaheuristic, for optimal parameter tuning. The method improves energy output and system stability.
2. Tuning ANFIS Using a Simplified Sparrow Search Algorithm
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Journal: Advances in Transdisciplinary Engineering
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Date: February 10, 2022
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DOI: 10.3233/ATDE220091
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Contributor: Xingjia Li
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Summary: This study applies a simplified version of the Sparrow Search Algorithm to optimize the parameters of the Adaptive Neuro-Fuzzy Inference System (ANFIS), enhancing its performance in complex engineering problems.
3. A Numerical Approach for Flexoelectric Energy Harvester Modeling Using COMSOL Multiphysics
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Conference: 15th Symposium on Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA)
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Date: June 4, 2021
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DOI: 10.1109/spawda51471.2021.9445427
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Contributor: Xingjia Li
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Summary: This paper proposes a numerical model of a flexoelectric energy harvester using COMSOL Multiphysics, addressing the coupling of mechanical and electrical domains to predict device performance accurately.
4. A Fusion Parameter Method for Classifying Freshness of Fish Based on Electrochemical Impedance Spectroscopy
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Journal: Journal of Food Quality
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Date: March 10, 2021
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DOI: 10.1155/2021/6664291
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Contributors: Jian Sun, Yuhao Liu, Gangshan Wu, Yecheng Zhang, Rongbiao Zhang, X. J. Li, Daniel Cozzolino
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Summary: The research introduces a fusion parameter technique combining electrochemical impedance spectroscopy data to accurately classify fish freshness, demonstrating potential for food quality control applications.
5. Research on the Actuation Performance of 2D-Orthotropic Piezoelectric Composite Materials Linear Phased Array Transducer
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Journal: Journal of Nanoscience and Nanotechnology
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Date: August 1, 2019
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DOI: 10.1166/jnn.2019.16814
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Contributor: Xingjia Li
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Summary: This article investigates the actuation performance of a 2D-orthotropic piezoelectric composite used in linear phased array transducers, highlighting the material’s anisotropic effects on acoustic wave propagation.
6. Design and Optimization for Double-Sided Interdigital Transducer with Piezoelectric Substrate
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Conference: 13th Symposium on Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA)
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Date: January 11, 2019
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Contributor: Xingjia Li
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Summary: The paper focuses on the design and optimization of double-sided interdigital transducers on piezoelectric substrates to improve device efficiency and sensitivity for acoustic applications.
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Conclusion
While Dr. Li is at the beginning of his research career, his exceptional potential, innovation-driven mindset, and strong research focus make him a suitable candidate for the Best Researcher Award (Emerging Researcher Category). His contributions already demonstrate the capacity to shape the future of robotics and intelligent systems. With continued research output and growing industrial impact, Dr. Li is on a clear path to becoming a leading figure in his field.