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Personal profile


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).

Education/Academic qualification

Computer Science, PhD, Activity Recognition in Monitored Environments using utility Meter disaggregation, Northumbria University

Award Date: 2 Mar 2017

Engineering, MSc

Award Date: 6 Jun 2003

Computing, PGDip

Award Date: 1 Jun 2001

Communications Engineering

Award Date: 30 Jun 1997


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