Personal profile

Research interests

I'm interested in using machine learning to extract meaning and value from data and presenting this to users in a way that promotes understanding and trust. This not only means being transparent regarding the provenance of the data, but also making the reasoning accessible and understandable to users who may be domain experts but have little or no knowledge of machine learning algorithms. Without trust there is little point to performing the inferencing as users and stakeholders will not act on the results no matter how interesting they might first appear. 

My lab uses a mixture of machine learning, psychophysics, data visualisation and ethical crowd-sourcing. Current projects range from appearance rendering of ultrasound projects and examining the texture of gas turbine blades to providing strategic level summaries of large project portfolio and providing smart support for research landscaping and strategy development meetings of up to one hundred stakeholders.

Biography

I have a first in Electrical & Electronic Engineering from Glasgow and PhD in image processing from Heriot-Watt. For a while after graduation I was a software engineer on mainly military related projects and did consultancy in Europe before taking up a post initially in Heriot-Watt’s Electrical Engineering Department.

I have successfully supervised over twenty phds, published over 100 peer-reviewed papers, have chaired a number of leading international conferences and workshops and attracted has multi-million pound EU and national funding.  I been a member of a considerable number of EPSRC, ESRC, Data Lab and InnovateUK prioritisation panels and have been involved in strategy development for ESRC, EPSRC and InnovateUK (for instance I have been a member of thje EPSRC ICT SAT and DE’s PAB).

External positions

Honory Professor, Ocean University of China

10 Jan 2007 → …

Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 1988 2017

Image-based Emotion Feedback: How Does the Crowd Feel? And Why?

Robb, D., Padilla, S., Methven, T., Kalkreuter, B. & Chantler, M. J. 2017 Proceedings of the 2017 Conference on Designing Interactive Systems. ACM, p. 451-463 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feedback
emotions
Internet
World Wide Web
clarity

A Picture Paints a Thousand Words but Can it Paint Just One?

Robb, D., Padilla, S., Methven, T., Kalkreuter, B. & Chantler, M. J. Jun 2016 Proceedings of the 2016 Conference on Designing Interactive Systems. ACM, p. 959-970 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feedback
Crowds
Paint
Communication
Experiments

Human search for a target on a textured background is consistent with a stochastic model

Clarke, A., Green, P. R., Chantler, M. J. & Hunt, A. R. May 2016 In : Journal of Vision. 16, 7, 4

Research output: Contribution to journalArticle

Target
Eye movements
fixation
Observer
Fixation

Perceptually Motivated Image Features Using Contours

Dong, X. & Chantler, M. J. Nov 2016 In : IEEE Transactions on Image Processing. 25, 11, p. 5050-5062 13 p.

Research output: Contribution to journalArticle

Textures
Statistics
Range of data
texture
Higher-order statistics

Perceptual texture retrieval using spatial distributions of textons (SDoT)

Dong, X., Dong, J., Wang, S. & Chantler, M. J. 25 Feb 2016 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA). IEEE, p. 663-666 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Textures
Spatial distribution
Vector quantization
Glossaries
Error analysis

Prizes

Honourable Mention ACM CHI 2017 Research Papers and Notes

Stefano Padilla (Recipient), Thomas Methven (Recipient), David Robb (Recipient) & Michael John Chantler (Recipient), 8 May 2017

Prize: Prize (including medals and awards)

Honourable Mention ACM DIS 2017 Research Papers and Notes

David Robb (Recipient), Stefano Padilla (Recipient), Thomas Methven (Recipient), Britta Kalkreuter (Recipient) & Michael John Chantler (Recipient), 13 Jun 2017

Prize: Prize (including medals and awards)