Luping Wang | Sustainable Energy | Best Researcher Award

Luping Wang 👩‍🔬 is a Senior Experimentalist at Shenyang Aerospace University, bringing extensive expertise in Pattern Recognition and Intelligent Systems. Since 2014, she has actively led and participated in numerous educational reforms and scientific research projects 🎓. Her pioneering work in magnetically controlled shape memory alloys (MSMA) and battery energy management systems 🔋 supports advancements in energy harvesting and MEMS technologies ⚙️. She is passionate about promoting sustainable and intelligent engineering solutions 🌱. Recognized for her excellence in teaching and innovation 🏆, she has received several national and provincial awards, becoming a key figure in research-driven education and technological innovation 🚀.

Publication Profiles

Orcid

 Education & Experience 

• 🎓 Master’s Degree in Pattern Recognition and Intelligent Systems, Shenyang Aerospace University

• 🧑‍🏫 Working Since January 2014 in higher education and research

• 👩‍🔬 Current Role: Senior Experimentalist since November 2022

• 🧪 Research Leader on MSMA, energy harvesting, and battery systems

• 📚 Contributor to over 20 provincial, national, and collaborative educational projects

Suitability for the Award

Ms. Luping Wang, a Senior Experimentalist in Pattern Recognition and Intelligent Systems at Shenyang Aerospace University, is an outstanding candidate for the Best Researcher Award. Since 2014, she has demonstrated exceptional commitment to both academic innovation and applied scientific advancement, particularly in the cutting-edge field of magnetically controlled shape memory alloys (MSMA) and vibration energy harvesting—positioning her as a national leader in sustainable technology research and energy management systems.

 Professional Development

Luping Wang’s professional journey is marked by consistent development through project leadership and teaching innovation 💡. She has spearheaded and contributed to over 20 educational and scientific initiatives, including national-level collaborations and provincial research grants 📊. Her involvement in both experimental and theoretical aspects of engineering and intelligent systems shows her versatility. From designing curriculum reforms 📖 to enhancing hands-on student training 🔬, she continuously upgrades her skill set and teaching methodologies. Recognized as a provincial course leader and competition mentor 🏅, she embodies excellence in both academia and innovation, fostering future-ready talent in science and technology 🚀.

 Research Focus 

Luping Wang’s research focuses on intelligent materials and sustainable energy systems 🌱. She is a national leader in studying magnetically controlled shape memory alloys (MSMA), particularly in their application for vibration energy harvesting and actuators ⚙️. Her research on battery energy management systems contributes to the optimization of renewable energy technologies 🔋. By converting ambient vibrations into usable energy, her work supports low-power electronics and green technologies 🌍. These projects hold great promise for advancing MEMS, smart materials, and self-powered devices, positioning her work at the intersection of smart innovation and environmental responsibility 🔧⚡.

 Awards & Honors 

• 🧑‍🏫 Excellent Young Teacher at the School Level

• 👩‍🏫 Excellent Teacher & “My Favorite Subject Teacher” at the School

• 🧭 Campus Pioneer Demonstration Post

• 🧑‍🔬 Excellent Guidance Teacher for Science & Technology Competition

• 📘 Provincial First Class Course Leader

• 🥈 Second Prize – 2022 School Teaching Innovation Competition

• 🥉 Third Prize – 2023 Provincial Teaching Innovation Competition

• 🥉 Third Prize – 2023 School Teaching Innovation Competition

• 🥈 Second Prize – 2023 National Engineering Maker Teaching Competition

• 🛠️ National Young Teacher Equipment Design Maker Competition – Automation Category

• 🌟 Backbone Member – School Level Excellent Grassroots Teaching Organization

• 🏅 6th Place – Shenyang Skills Competition

Publication Top Noted

1. 📘 2025 | The Application of BiGRU-MSTA Based on Multi-Scale Temporal Attention Mechanism in Predicting the Remaining Life of Lithium-Ion Batteries | Journal: Batteries | Contributors: Luping Wang, Shanze Wang | 📈

2. 🗃️ 2025 | Design of a Garbage Classification System Based on Deep Transfer Learning | Journal: Journal of Ambient Intelligence and Humanized Computing | Contributors: Zucai Tang, Wang Luping, Qu Miaoyan, Sheng Aitong, Huai Nianwang | 📈

3. ⚙️ 2024 | Designing and Modeling of a New MSMA Vibration Energy Transducer | Journal: Journal of Vibroengineering | Contributors: Wang Luping, Yang Jing, Gao Yunhong | 📈

4. 🔬 2020 | Design and Implementation of Vibration Energy Harvester Based on MSMA Cantilever Beam | Journal: Transactions on Electrical and Electronic Materials | Contributors: Yang Jing, Wang Luping, Xu Jin | 📈