The goal is to design a graph neural network based recommendation system for scroll paintings (folk art) that can run on decentralized compute environments (such as peer-to-peer systems). Requires ability to understand and analyze machine learning problems theoretically, programming skills and performing extensive empirical analysis on a proprietary multi-modal dataset for art conservation.
A research project is available in the Department of Management Science and Systems which involves the development of a large scale recommendation algorithm for graphs. This is an UNPAID position, and requires the incumbent to commit to at least two semesters of work (possibly more, if the project so demands). The incumbent is, eligible for independent study, research or thesis credits and is expected to gain experience in doing research. The position is available immediately.
The student is expected to be:
|Length of commitment||Year-long (10-12 months)|
|In-person, remote, or hybrid?||Hybrid Project|
|Level of collaboration||Small group project (2-3 students) |
|Who is eligible||Seniors|
Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase.
Graph Neural Networks, Deep Neural Networks, Machine Learning, Data Science, Computer Science, Management Science and Systems