Advanced Analytics on Domain-Specific Knowledge Graphs
Project Description
We invite undergraduate students to join our research program focused on Advanced Analytics on Domain-Specific Knowledge Graphs. In this project, you will engage in cutting-edge research related to financial knowledge graphs, collaborating closely with PhD students and our industry partner, WeBank. This is a unique opportunity to gain hands-on experience in data analytics and knowledge graph technologies while contributing to impactful projects in the financial sector.
Supervisor
ZHOU, Xiaofang
Quota
2
Course type
UROP1000
UROP1100
UROP2100
Applicant's Roles
As an applicant in the Advanced Analytics on Domain-Specific Knowledge Graphs project, you will assist in the development and analysis of financial knowledge graphs. Your responsibilities will include data collection and preprocessing, contributing to the design and implementation of analytical models, and collaborating with PhD students and industry partners to derive insights from the data. You'll engage in team meetings, share findings, and assist in presenting research outcomes, ensuring a hands-on experience in a professional research environment.
Applicant's Learning Objectives
Through this research program, you will aim to enhance your understanding of data analytics and knowledge graph technologies, specifically within the financial sector. You will learn to apply analytical techniques to real-world data, improve your programming and data manipulation skills, and gain insights into the dynamics of financial knowledge graphs. Additionally, you will develop collaboration and communication skills by working closely with experienced researchers and industry professionals, preparing you for future academic or industry roles.
Complexity of the project
Moderate