Robert Atkinson


  • United Kingdom

Accepting PhD Students

PhD projects

Machine Learning, IoT


Research activity per year

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Personal profile

Personal Statement

I am an academic in the Deptartment of Electronic and Electrical Engineering. My research interests are in the industrial application of (deep) machine learning, cybersecurity, and the Internet of Things. I have strong interest in explainable AI (XAI) and hyperparameter optimisation. 

Teaching Interests

  • EE106 Engineering Design for Software Development 1: gentle introduction to computer programming using Python.
  • EE320 Signals and Systems: signal processing concepts.
  • EE471 Communications Networks: foundation in communication and computer networking concepts and protocols.

Research Interests

My research focusses on the entire data processing pipeline from data collection and storage, through data cleansing, parallelisation of feature extraction approaches, deployable dimensionailty reduction streategies, hyperparameter optiisation and the production of machine learning models.

The work is carried out in tandem with industry, with application areas that include partial discharge localisation, predictive maintenance of moving equipment, intrusion detetcion systems, and deception for cyber resillience. 


Expertise & Capabilities

I have experience and expertise in the following areas of AI:

  • Data cleansing and outlier removal.
  • Feature extraction for time-series.
  • Dimensionailty reduction techniques.
  • Production of (deep) machine learning based models.
  • Model optimitisation by selection of the best hyperparameers.
  • Data visualisation.
  • Explianable models.

Education/Academic qualification

Doctor of Philosophy, University of Strathclyde

Award Date: 1 Jan 2003

Master of Science, University of Strathclyde

Award Date: 1 Jan 1996

Bachelor of Engineering, University of Strathclyde

Award Date: 1 Jan 1993


  • wireless sensor network
  • Mobile Communications
  • Machine Learning
  • Artificial Intelligence
  • Condition Monitoring
  • Internet Engineering
  • Computer Networking
  • Big Data
  • Analytics


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