Skip navigation

Dr Martin Wonders

Assistant Professor

Department: Computer and Information Sciences

Martin is a senior lecturer in the department of computer and information sciences and teaches computer vision, applied programming, machine learning, Artificial Intelligent and Robotics. Martin's doctoral thesis on Activity Recognition in monitored environments using utility meter disaggregation, focused on the use of machine learning to both disaggregate signals from utility meters, and use these signals to infer the activity of the occupants.

Martins current research interests focus on Machine and Deep learning using data from a variety of sources including images and video as well as internal and external environmental sensor data from buildings. The latter of which is being applied to energy load demand forecasting for a local architectural company - European Regional Development Fund (ERDF).

Martin Wonders

  • Please visit the Pure Research Information Portal for further information
  • A reinforcing transfer learning approach to predict buildings energy performance, Mahamedi, E., Wonders, M., Gerami seresht, N., Woo, W., Kassem, M. 9 Jan 2024, In: Construction Innovation
  • Digital Twin and Building Performance: A Review and Proposed Framework, Mahamedi, E., Wonders, M., Kassem, M., Woo, W., Greenwood, D. 5 Sep 2022, Proceedings of the 38th Annual ARCOM Conference, 5-7 September 2022, Glasgow, UK, London, Association of Researchers in Construction Management (ARCOM)
  • Towards Sparse Rule Base Generation for Fuzzy Rule Interpolation, Tan, Y., Li, J., Wonders, M., Chao, F., Shum, H., Yang, L. 25 Jul 2016, WCCI 2016 - IEEE World Congress on Computational Intelligence
  • Training with synthesised data for disaggregated event classification at the water meter, Wonders, M., Ghassemlooy, Z., Hossain, A. 1 Jan 2016, In: Expert Systems with Applications

  • Elham Mahamedi The Application of AI and Machine Learning for the Better Performance and Predictive Maintenance of Buildings Using Data from Digital Twins Start Date: 08/11/2021 End Date: 25/06/2024
  • Neville Bulmer Intelligent Predictive Maintenance and Energy Load Forecasting for Smart Buildings Start Date: 01/09/2021 End Date: 29/09/2021

  • Computer Science PhD March 02 2017
  • Engineering MSc June 06 2003
  • Computing PGDip June 01 2001
  • Communications Engineering June 30 1997
  • Associate Member Institution of Engineering and Technology (IET) 2014

a sign in front of a crowd

Northumbria Open Days

Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.

Research at Northumbria

Research at Northumbria

Research is the life blood of a University and at Northumbria University we pride ourselves on research that makes a difference; research that has application and affects people's lives.

NU World

Explore NU World

Find out what life here is all about. From studying to socialising, term time to downtime, we’ve got it covered.

Latest News and Features

Graduates Abbie Smith and Frankie Harrison.
Northumbria student Saffron Sinclair being presented her award by Mark Dale, Principle Consultant at Nigel Wright Recruitment.
Henry Kippin
Cally Taylor
Eva Szewczyk grad and career success v2 180624   ES
More news

Back to top