Machine learning for data manipulation

Study level

PhD

Honours

Vacation research experience scheme

Topic status

We're looking for students to study this topic.

Supervisors

Associate Professor Luis Mejias Alvarez
Position
Associate Professor, UAV
Division / Faculty
Science and Engineering Faculty

Overview

This project will design and develop a machine learning architecture for data compression. The developed approach will be benchmarked against standard data compression algorithms. Data might include images and/or text.

Research activities

  1. Perform literature review on machine learning data compression
  2. Design and implement a prototype based on deep learning architectures
  3. Perform data analysis and simulations
  4. Write scientific documentation

Outcomes

A prototype machine learning algorithm for data compression.

Skills and experience

Required skills

  • General programming skills
  • Python TensorFlow
  • General understanding of image/data manipulation

Desirable skills

  • Matlab

Keywords

Contact

Contact the supervisor for more information.