Heilongjiang University of Science and Technology | China
Publication Profile
🔍 Summary
Mr. Jiafeng Qin is a dedicated graduate student and Communist Party member with a solid background in mechanical and mechatronics engineering. He has a strong record of academic excellence, hands-on research in intelligent mining technologies, and numerous honors reflecting his commitment to innovation, leadership, and personal growth.
🎓 Education
Mr. Qin is currently pursuing a Master’s degree in Mechanical Engineering at Heilongjiang University of Science and Technology (2022.09–2025.06). He earned his Bachelor’s degree in Mechatronics Engineering from Anhui Wenda Information Engineering College (2018.09–2022.06), consistently receiving national scholarships and academic distinctions.
🔧 Professional Experience
He contributed to a provincial science and technology research project on intelligent mining of extremely thin coal seams. His work included load-current analysis of scraper conveyors, and developing a neural network algorithm for load prediction, enabling intelligent speed regulation.
📚 Academic Contributions
Jiafeng has applied for one invention patent and one utility model patent. He has received acceptance from a foreign-language journal and a Chinese core academic journal, showcasing his impact in research publication.
💻 Technical Skills
Proficient in mechanical structure design, intelligent algorithms, wavelet transforms, wavelet packet transforms, and filter algorithms. He holds a University English Test Band 4 certificate and demonstrates strong skills in reading, writing, and analyzing technical English documents.
👨🏫 Teaching & Leadership Experience
As director of the Finance Department of the University Student Association Federation and president of the National Standard Eight Ball Association, Jiafeng led several student initiatives. He also served as an outstanding student representative in university governance meetings.
🔬 Research Interests
His current research focuses on mechanical structure design, intelligent control systems, and signal processing algorithms, especially in automation and industrial applications.
📚 Top Notes Publications
Research on scraper conveyor load prediction method based on wavelet transform and BP neural network, 2025