Skip to content

Machine learning for data manipulation

Study level

PhD

Honours

Vacation research experience scheme

Faculty/Lead unit

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.