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Safety Data Management Laboratory
Associate Professor / ZHANG Kun
- Data Management
- Safety Big Data Research
- Product Accident Data Analysis
Associate Professor / ZHANG Kun
Associate Professor Zhang insists on putting her faith in research and is adept at generating innovative ideas. She is passionate about helping students and giving them personalized guidance on their research. In addition, Associate Professor Zhang looks forward to bringing positive energy to all students.
Research Content
We are interested in the analysis and utilization of various data in the field of safety. For example, we can extract keywords and lexical relationships from redundant descriptive text in product accident databases. We provide product designers and market surveillance departments with useful information obtained by building domain knowledge ontology models.
A Day in the Lab
The Friday seminars are the regular lecture series for all students. The seminar consists of two sessions: Research progress report session and English free exchange session. The lab members are always friendly and helpful, and it was easy to communicate with each others.
Thesis Subjects
- (M)The relationship between Organizational Safety Climate and Employees’ Active Involvement in safety activities -A case study of a chemical industrial company-
- (M)Development of a Quantitative Vehicle Damage Risk Index Model Using Automobile Accident and Fire Reports
- (M)Comparative Analysis of Industrial Accidents and Hazard Prediction Activities Using Text Mining
The number of
PhD Graduates
2
Major employers of Graduates
- Nissan Motor Co., Ltd.
- FUJIKIKO Co., Ltd.
- Rakuten Group, Inc.
- Amazon Japan G.K.
- SPRIX Inc.
- JCOM Co., Ltd.
