Research Supervisor Connect

System ML, IoT/edge Driven ML Adaptation

Summary

Research Area:

Machine Learning; Internet of Things; Neural Networks & Architecture

Supervisor

Associate Professor Shuaiwen Song.

Research location

Computer Science

Synopsis

The topics include but are not limited to: Machine learning model deployment, large-scale system optimisation, software-hardware co-designing for training and inference, recommendation models and their deployment, emerging neural networks and models exploration and deployment, neural architecture search, real time optimisation on power and performance efficiency, tiny ML, compiler-hardware co-design, system design and prototyping, symbolic AI + compilation optimisation on small devices.

Additional information

How to Apply:

To apply, please email shuaiwen.song@sydney.edu.au the following:

  • CV
  • Transcripts

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Opportunity ID

The opportunity ID for this research opportunity is 3527