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Harry Strange
Aberystwyth University
Aberystwyth, United Kingdom

Currently working as a research fellow at Aberystwyth University, Harry Strange’s main interests lie in the fields of medical imaging, computer vision, and machine learning. Of particular interest is the development and application of manifold learning algorithms—statistical methods that help to understand and analyze high-dimensional spaces. His recent book, Open Problems in Spectral Dimensionality Reduction (Springer), seeks to provide an overview and discussion of the area of manifold learning. It allows researchers who are new to the field to quickly get up to speed and understand the strengths and limitations of manifold learning. As well as this, Harry works closely with clinicians and other biomedical researchers looking at the application of computer vision to areas such as fibrinogen segmentation, wheat CT imaging, and topological analysis of medical images.

Harry’s current role focuses on engaging clinicians with academics by providing workshops and meetings that help build capacity for future collaborations and grants. Before taking up his post as a research fellow, Harry worked as a post-doctoral research assistant focusing on novel methods for segmenting and analyzing mammographic and histopathology images. This work led to the development of techniques that improved the segmentation accuracy of high-risk mammograms and also provided new ways of representing and classifying mammographic microcalcifications. Within the field of histopathology, Harry’s research has focused on developing new tools to help pathologists analyze muscle biopsy cases.

Outside of academia, Harry is an avid reader and enjoys nothing better than a single malt, an open fire, and a good biography. He is married to Joanna, and they currently live in a converted stable just outside of Aberystwyth.


Digital image forensics: there is more to a picture than meets the eye
Sencar H., Memon N.,  Springer Publishing Company, Incorporated, New York, NY, 2013. 378 pp. Type: Book (978-1-461407-56-0)

Society as a whole has developed a dependence upon digital media, however there is often more to it than meets the eye. Marcel Proust once wrote: “The real voyage of discovery consists not in seeking new landscapes but in having new...


Processing: creative coding and generative art in Processing (2nd ed.)
Greenberg I., Xu D., Kumar D.,  Friends of ED, Berkeley, CA, 2013. 472 pp. Type: Book (978-1-430244-64-6)

The problem with reviewing a book for novices on a subject one is familiar with is that it is very difficult to put yourself in the position of the intended reader. I found it nearly impossible to read and review this book while ignoring or...


Multidimensional data visualization: methods and applications
Dzemyda G., Kurasova O., Žilinskas J.,  Springer Publishing Company, Incorporated, New York, NY, 2013. 262 pp. Type: Book (978-1-441902-35-1)

There is no doubt about the importance of visual data analysis in today’s society. From scientists working on complex phenomena to social scientists investigating the distribution of populations, visually analyzing a problem enables key...


Optimization for computer vision: an introduction to core concepts and methods
Treiber M.,  Springer Publishing Company, Incorporated, New York, NY, 2013. 257 pp. Type: Book (978-1-447152-82-8)

The field of optimization is not unique to computer vision. Many other disciplines such as economics, operations research, and engineering utilize optimization techniques; however, optimization plays a fundamental role within computer vision, so...


Brain-computer interface research: a state-of-the-art summary
Guger C., Allison B., Edlinger G.,  Springer Publishing Company, Incorporated, New York, NY, 2013. 129 pp. Type: Book (978-3-642360-82-4)

Brain-computer interface (BCI) research focuses on developing and analyzing direct communication between the brain and an external device. The application of such research is found in efforts to restore damaged hearing, sight, and movement. As...


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