Deep Learning for Environmental Monitoring

Deep Learning for Environmental Monitoring

Advisor/s

Dr Mostafa Rahimi Azghadi

College or Research Centre

College of Science & Engineering

Summary of Project

This project will develop new DL hardware and software for environmental monitoring applications ranging from animal sound classification, to underwater marine habitat monitoring to detect changes and anomalies. You will work in an interdisciplinary team of ecologists, zoologists, engineers, and computer programmers, to address some of the current unexplored problems in environmental monitoring domains.

Key Words

machine-learning; deep learning; IoT; Edge Computing; FPGA

Would suit an applicant who

Has an interest in hardware and software design of machine learning algorithms

Updated: 15 Apr 2021