Mr. Yunpeng Xiong | Computational Nanotechnology Awards | Best Researcher Award

Yunpeng Xiong is a 24-year-old software engineering graduate from Nanchang Institute of Technology and a current master’s student in Cybersecurity at Hainan Normal University. He is a dedicated and responsible individual with a strong team spirit and the ability to handle significant work pressure. Yunpeng has a solid academic background, having achieved high scores in courses like WEB front-end development and Python programming, and holds an English proficiency of CET-6 (475). He has been recognized as an excellent class leader and Communist Youth League cadre and has mid-level certification in computer proficiency. Yunpeng has participated in several scientific competitions and projects, including a takeaway backend sales management system and a library management system, utilizing technologies like SpringBoot, MySQL, MyBatis, and Vue. Currently, he is working on a research paper proposing a hybrid neural network model for ticket text classification based on BERT, BiLSTM, and CNN.

Professional Profile:

Orcid

🎓Education:

Yunpeng Xiong is currently pursuing a Master’s in Cybersecurity at Hainan Normal University, where he is engaged in research on a hybrid neural network model (BERT-BiLSTM-CNN) for ticket text classification. He completed his Bachelor’s in Software Engineering at Nanchang Institute of Technology, where he excelled in courses such as WEB front-end development and Python programming, achieving high scores, including a 92 in WEB front-end development.

🏢Work Experience:

Yunpeng Xiong has served as a Class Leader and Event Organizer, where he planned and managed various school and college-level activities. His project experience includes developing a Takeaway Backend Sales Management System (May 2021 – September 2021), where he was responsible for project setup, database design and implementation, and backend management system development, utilizing technologies such as SpringBoot, MySQL, and MyBatis Plus. He also worked on a Library Management System (February 2022 – May 2022), handling project setup, database design, backend system development, and front-end webpage creation using ElementUI and Axios. This project employed technologies like SpringBoot, MySQL, MyBatis, Vue, and ElementUI.

🏆Awards and Achievements:

Yunpeng Xiong has been recognized as an Excellent Class Leader and an Outstanding Communist Youth League Cadre. He has achieved mid-level certification in computer proficiency and has participated in scientific competitions, earning accolades such as the Network Technology Challenge award.

Publication Top Notes:

Title: Research on the Classification of Work Orders based on BERT and Feature Fusion

Introduction of Computational Nanotechnology

Computational Nanotechnology research is a cutting-edge discipline that merges the power of computational simulations with the realm of nanoscale science and engineering. This multidisciplinary field enables scientists and engineers to model, simulate, and understand the behavior of nanomaterials and nanostructures at an atomic and molecular level, paving the way for groundbreaking innovations in various domains.

Nanostructure Design and Simulation 🧬:

Explore the design and simulation of novel nanostructures with tailored properties for applications in electronics, materials science, and beyond.

Molecular Dynamics and Nanoscale Mechanics 💥:

Investigate how computational techniques can simulate the dynamic behavior and mechanical properties of nanomaterials, aiding in the development of resilient nanodevices.

Quantum Computing and Nanoscale Systems 🧪:

Delve into the intersection of quantum computing and nanotechnology to advance our understanding of quantum phenomena and develop quantum-enhanced nanodevices.

Nanoelectronics and Semiconductor Modeling 💻:

Analyze the computational modeling of nanoscale electronic components and semiconductor devices for the next generation of electronics.

Drug Delivery Systems at the Nanoscale 💊:

Study how computational approaches can optimize the design of nanocarriers for drug delivery, enhancing precision medicine and targeted therapies.