Autonomous System and AI Lab

Using deep learning to generate suboptimal solutions for the Traveling Salesman Problem (TSP) while incorporating some randomness to improve the security of the tour path.

My project involves addressing a Multi-Agent Path Finding (MAPF) problem. The standard MAPF task entails determining paths for multiple agents in a given graph, leading from their current vertices to their respective targets, all while avoiding collisions with other agents. Simultaneously, the objective is to optimize a cost function associated with the paths.

Data privacy, using anonymization techniques such as k-anonymity or differential privacy to protect students’ identities from being disclosed. The key is to consider and balance the privacy utility trade-off.

Prove and prevent model collapse due to recource recommendation systems.

How to generate images using a generative model (VAE), and find a method to explain the sources of these generated images through latent variables in the training data.