Xin Li | Intelligent Manufacturing | Best Researcher Award

Posted on by Phenomenological Research Awards

Assist. Prof. Dr. Xin Li | Intelligent Manufacturing | Best Researcher Award

Teacher at Suqian University, China.

Dr. Li Xin 🎓 is an accomplished academic and innovative researcher currently serving as an Associate Professor at Suqian University, China 🇨🇳. With a strong background in intelligent manufacturing, neural networks, and bionic robotics 🤖, he has contributed significantly to interdisciplinary research in modern engineering and bio-inspired technologies. Dr. Li is an active member of the Chinese Society of Aeronautics ✈️ and the International Society of Bionic Engineering 🧠, demonstrating his commitment to advancing futuristic technologies through collaboration and scholarship. His ongoing projects include cutting-edge work funded by the Natural Science Foundation of Jiangsu Province 🔬. Dr. Li’s most notable research mimics beetle wing mechanics to develop deployable robotic mechanisms—showing a blend of biology and origami-inspired engineering 🪰📐. With dedication to innovation and teaching, Dr. Li Xin is helping shape the next generation of intelligent systems and robotic designs. 📚🔧

Professional Profile:

ORCID

✅Suitability For Best Researcher Award – Assist. Prof. Dr. Xin Li

Dr. Li Xin exemplifies the qualities of an outstanding researcher through his interdisciplinary expertise, commitment to innovation, and active engagement in both teaching and high-impact research. His contributions to bionic robotics, neural networks, and intelligent manufacturing highlight a visionary approach that merges biology-inspired design with modern engineering. He demonstrates strong academic leadership and innovation potential, making him an ideal candidate for the Best Researcher Award.

📘 Education

Dr. Li Xin holds a Ph.D. in Engineering 🎓, where he focused on intelligent systems, automation, and bionics. His academic journey was deeply rooted in exploring the crossroads of biology and mechanical design 🧬🔧. During his doctoral studies, he developed a keen interest in biomimicry, particularly applying biological mechanisms to robotic structures 🐞🤖. His graduate education laid a solid foundation in mechanical systems, AI, and computational modeling 🧠💻, equipping him with critical skills in interdisciplinary research and technological development. Throughout his academic career, he maintained high academic standards 📈 and actively engaged in scientific discourse, preparing him to become a leading scholar in applied engineering sciences. 📚

💼 Professional Development

As an Associate Professor 👨‍🏫 at Suqian University, Dr. Li Xin has consistently grown in academic and research excellence. He has been involved in cutting-edge projects funded by prestigious agencies like the Natural Science Foundation of Jiangsu Province 💡📑. His professional growth is reflected in his commitment to teaching and mentoring students in areas like neural networks, intelligent manufacturing, and robotics ⚙️📊. His collaborations with national and international research societies such as the Chinese Society of Aeronautics and the International Society of Bionic Engineering 🌐🔬 have broadened his exposure to global research practices. Dr. Li actively publishes in SCI-indexed journals 📰 and is passionate about translating theoretical insights into practical, real-world applications. With a dynamic combination of teaching, research, and cross-disciplinary collaboration, his professional journey continues to inspire technological innovation in academia and industry alike. 🛠️📖

🔍Research Focus

Dr. Li Xin’s research primarily focuses on bionic engineering and intelligent systems 🤖🧠. His work lies at the intersection of biology and engineering, particularly in biomimetic design inspired by insect anatomy 🐞, which he translates into innovative robotic mechanisms. He explores neural networks for smart control, deployable structures for dynamic systems, and intelligent manufacturing for real-time adaptive environments ⚙️🧬. By studying nature’s efficient designs, such as beetle wings, Dr. Li develops deployable robotic models using origami-based geometry 📐. This research is essential for applications in aerospace, disaster recovery robots, and compact machine design ✈️🚀. He is also involved in automation, AI-based control systems, and smart fabrication, making his focus both futuristic and solution-driven 🔍🛠️. His interdisciplinary research enhances both theoretical modeling and functional engineering applications, creating smart, adaptable, and scalable robotic systems. 📊🔧

🧪Research Skills

Dr. Li Xin possesses a robust and interdisciplinary set of research skills, especially in mechanical design, biomimicry, neural networks, and intelligent manufacturing 🔧🤖. He is adept at simulating and constructing deployable robotic mechanisms using mathematical modeling and geometric computation 🧮📐. His skill in interpreting biological movement and translating it into engineering frameworks reflects his expertise in bionic engineering 🐞🛠️. Proficient in CAD modeling, simulation tools, and artificial intelligence applications 🖥️📊, he integrates software with hardware design to optimize functionality. His programming skills support the implementation of neural network algorithms for smart automation and control 🧠💡. Moreover, his research into thick-plate folding mechanisms shows his strength in addressing real-world engineering challenges through experimental prototyping. Combined with academic writing, project execution, and mentoring capabilities, Dr. Li’s research skills are aligned with advancing next-generation robotics and adaptive intelligent systems. 🧪📈

🏆 Awards and Honors

Dr. Li Xin has received recognition for his innovative contributions to engineering research, particularly from the Natural Science Foundation of Jiangsu Higher Education Institutions 🏅🔬. This prestigious grant underscores the scientific impact and potential of his work in biomimetic robotic systems. His membership in elite academic societies such as the Chinese Society of Aeronautics and the International Society of Bionic Engineering 🌍✨ reflects his professional credibility and standing in the global research community. While specific awards or patents are not listed, his published work in indexed journals 📘 and contributions to funded projects suggest strong recognition within his field. As his research matures and expands, he is poised to receive further national and international honors for his groundbreaking efforts in robotics and intelligent design. 🏆🌐

Publication Top Notes

🔬 Title:

Design and Simulation of a Bio-Inspired Deployable Mechanism Achieved by Mimicking the Folding Pattern of Beetles’ Hind Wings

🧾 Journal:

Biomimetics, Published: May 2025

🧑‍🔬 Authors:

Hongyun Chen, Xin Li, Shujing Wang, Yan Zhao, Yu Zheng

🌐 DOI:

10.3390/biomimetics10050320

🧠 Core Focus:

The paper presents a bio-inspired deployable mechanism by analyzing and mimicking the folding structure of beetles’ hind wings, especially how they compactly fold and unfold for efficient movement.

🛠️ Methods Used:

  • Origami-inspired geometric modeling

  • Simulation (likely CAD & finite element tools)

  • Structural analysis and motion planning

  • Validation through prototyping and motion testing

🎯 Applications:

  • Micro air vehicles (MAVs)

  • Robotics with space-saving requirements

  • Deployable aerospace structures

🧾 Conclusion

Dr. Li Xin is a forward-thinking scholar whose innovative research bridges theoretical knowledge with real-world applications. His work in biomimicry, deployable robotics, and intelligent systems addresses both academic and industrial challenges of the future. With proven research output, strategic collaborations, and dedication to academic excellence, Dr. Li Xin is an exceptional choice for the Best Researcher Award. His profile strongly aligns with the values and objectives of this honor, recognizing both originality and impact.

Xingjia Li | Robotics | Best Researcher Award

Posted on by Phenomenological Research Awards

Dr. Xingjia Li | Robotics | Best Researcher Award

Senior Engineer at Shanghai Liangxin Electrical Co., Ltd., China.

Dr. Xingjia Li 🎓 is a dynamic early-career researcher specializing in robotics 🤖 and electrical systems ⚡. He earned his Ph.D. in Mechanical Engineering from Jiangsu University, China 🇨🇳, in 2023. Currently, he is a Postdoctoral Associate at Shanghai Liangxin Electrical Co., Ltd. 🏢, where he explores advanced sensor data processing integrated with machine learning 🤖📊. His work is focused on creating intelligent and secure systems for human-centered applications 🧠🔒. Passionate about innovation and industrial collaboration, Dr. Li aims to bridge the gap between research and real-world impact 🌐💼.

Professional Profile:

ORCID

Suitability for Best Researcher Award – Dr. Xingjia Li

Dr. Xingjia Li is a highly promising early-career researcher whose work stands at the intersection of robotics, electrical systems, and machine learning. While he is still in the early stages of his academic journey, his innovative research direction, strong industrial collaboration, and interdisciplinary approach make him a strong contender for the Best Researcher Award in the early-career or emerging researcher category. His focus on human-centered intelligent systems showcases a commitment to solving real-world problems using advanced technologies, a quality that aligns perfectly with the spirit of this award.

🔹 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

  • Conference: 16th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA)

  • Date: October 11, 2022

  • DOI: 10.1109/spawda56268.2022.10046019

  • Contributors: Jian Sun, X. J. Li, J. N. Gu, M. L. Pu, H. Chen

  • 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

  • Journal: Advances in Transdisciplinary Engineering

  • Date: February 10, 2022

  • DOI: 10.3233/ATDE220091

  • Contributor: Xingjia Li

  • 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

  • Conference: 15th Symposium on Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA)

  • Date: June 4, 2021

  • DOI: 10.1109/spawda51471.2021.9445427

  • Contributor: Xingjia Li

  • 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

  • Journal: Journal of Food Quality

  • Date: March 10, 2021

  • DOI: 10.1155/2021/6664291

  • Contributors: Jian Sun, Yuhao Liu, Gangshan Wu, Yecheng Zhang, Rongbiao Zhang, X. J. Li, Daniel Cozzolino

  • 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

  • Journal: Journal of Nanoscience and Nanotechnology

  • Date: August 1, 2019

  • DOI: 10.1166/jnn.2019.16814

  • Contributor: Xingjia Li

  • 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

  • Conference: 13th Symposium on Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA)

  • Date: January 11, 2019

  • Contributor: Xingjia Li

  • 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.

.

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.