Dr. Li Fang

Time：2024-11-06Views：10

Dr. Li Fang


Associate Professor

Director of Computer Science Laboratory

Email: lifang@mail.buct.edu.cn


Background                                                                  

Dr. LIFANG is currently an Associate Professor at the College of Information Science and Technology, Beijing University of Chemical Technology. She got the PhD degree at BUCT in Computer science and technology in 2010. She did research on text mining in Linköping university as a research scholar from 2012 to 2013. Currently, her main research interests involve natural language processing, deep learning model, large data analysis etc.

Areas of Research of Expertise

  • Natural language processing 

  • Deep learning model 

  • Large data analysis

Teaching                                             

Undergraduate Teaching

  • Programming Basics

  • Principles of Operating System

  • Comprehensive Design of Computer Systems

  • Production Practice

Research                                                

Funded Research Projects

 National Natural Science Foundation of China general project  

  • "Research on Key Technologies for Modeling and Optimization of Energy Systems in Complex Petrochemical Processes". (participated)

Collaborative Education Project between Industry and Education:

  • Construction of Practical Teaching Resources for the Course "Operating System Principles" Based on HarmonyOS.

  • Construction of Big Data Laboratory under the Background of New Engineering.

Main Achievements & Awards

  • Huawei Spring Rain Medal

  • Intelligent optimization operation technology and engineering application of large-scale petrochemical plants based on data-driven approach, China Petroleum and Chemical Automation Application Association, Social Science and Technology Award, First Prize

  • Intelligent Optimization Control of PTA Production Solvent System, China Petroleum and Chemical Industry Association, Science and Technology Progress Award, Second Prize

Five Representative Publications                                           

  • Patent: A digital image analysis method for colloidal gold detection result maps，2024，ranked 1st

  • Patent: Optimization method for consistency problem in parallel computing of food data based on Storm, 2021, ranked 4th

  • Patent: A food safety network public opinion warning system based on Storm distributed framework, 2019, ranked 1st

  • Software copyright: Food Safety Public Opinion Warning System, ranked 1st

  • Paper: Topic discovery in research literature based on non-negative matrix factorization and testor theory

  • Paper: Study on association rules mining based Chinese text representation