Ms.Zening Qu , Northeast Forestry University, China.
Zening Qu is an accomplished graduate student at the School of Mechanical and Electrical Engineering, Northeast Forestry University, China. 
Specializing in industrial engineering and management, Zening has made significant contributions to deep learning, artificial intelligence, and molecular dynamics simulations. Her research on sewage treatment and wood heat treatment has been widely recognized for its practical significance. 
With five published articles and ongoing research projects, Zening’s work continues to push the boundaries of environmental and industrial applications. 
Publication Profile
Orcid
Suitability Of The Award
Zening Qu is a strong candidate for the Best Researcher Award due to her significant contributions to industrial engineering, specifically in the areas of wastewater treatment, deep learning, and molecular dynamics simulations. Her research demonstrates both innovative application and practical impact in her field.
Education and Experience
- Education:
- Graduate Student in Industrial Engineering and Management, Northeast Forestry University
- Experience:
- Researcher in deep learning, artificial intelligence, and molecular dynamics simulation
- Contributor to significant research on sewage treatment and wood heat treatment
- Published Articles: Five peer-reviewed articles
Professional Development
Zening Qu is dedicated to advancing her expertise through innovative research in industrial engineering. Her work in deep learning and molecular dynamics simulation is driving significant advancements in sewage treatment and wood heat treatment. With a robust citation index and impactful publications, Zening is actively contributing to sustainable solutions and enhancing practical applications in her field. 
Her commitment to research excellence is evident in her recognized achievements and ongoing contributions.
Research Focus
Zening Qu’s research focuses on wastewater treatment and sustainable development. Her studies, including the adsorption capacity of biochar for uranium and improvements in radioactive wastewater treatment, are crucial for environmental sustainability. By developing new adsorption materials and enhancing treatment methods for radioactive elements, Zening’s work supports the advancement of effective and sustainable environmental solutions. Her research is widely acknowledged for its practical impact and innovative approach. 
Awards and Honors
- Published Articles: Five peer-reviewed journals
- Citation Index: CITESCORE 4.4 JCR – Q1 (Forestry) / CiteScore 4.5 – Q1 (Toxics)
- Award Category Preference: Best Researcher Award
Publication Top Notes
- A Study on the Effects of Vacuum, Nitrogen, and Air Heat Treatments on Single-Chain Cellulose Based on a Molecular Dynamics Simulation (2024)
- Prediction of Dielectric Loss Factor of Wood in Radio Frequency Heating and Drying Based on IPOA-BP Modeling (2024)
- Prediction of Uranium Adsorption Capacity in Radioactive Wastewater Treatment with Biochar (2024)
- Effect of High-Temperature Paraffin Impregnation on the Properties of the Amorphous Cellulose Region Based on Molecular Dynamics Simulation (2023)
Conclusion
Zening Qu’s research demonstrates a significant impact in the fields of wastewater treatment and environmental sustainability. Her work on biochar adsorption and the improvement of treatment efficiency for radioactive wastewater highlights her innovative approach and practical contributions to addressing environmental challenges. Given her publication record, ongoing research efforts, and the practical significance of her work, Zening Qu is a deserving candidate for the Best Researcher Award.