Explainable AI - Electrical and Computer Engineering

Deep neural networks have surpassed human-level performance for many cognitive tasks. However, it is difficult to understand how the neural networks makes decisions. This research position is on explainable AI, which aims to make neural networks more interpretable to humans. The will involve training your own neural network, testing different attribution algorithms, and designing your own algorithms.

The project is 10 per week. I meet with my undergraduate researchers once per week. The project is one semester but it can potentially be extended to multiple semesters.

Project Dates

Start Date: 1/9/2023 - End Date: 4/28/2023

Students Needed

Type of Project

Individual or team

Student Responsibilities

You are required to work 10 hours per week and attend weekly group meeting.

Time Commitment

10 hour(s)

Student Requirements

There are no specific requirements. Basic programming knowledge would be helpful. Junior and senior students are preferred.

Interested in Working With the Following Programs

For EXCEL URE Students Only

Additional Notes

Position Overview

  • Date Posted: 09-22-2022
  • Research Categories:
    • Computer Science
    • Engineering
  • Location:
    • Orlando (Main Campus)
  • Paid: Maybe