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Harry Strange
University College London
London, 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.


     

Robots and art: exploring an unlikely symbiosis
Herath D., Kroos C., Stelarc .,  Springer International Publishing, New York, NY, 2016. 456 pp. Type: Book

For many people, the term “robotic art” would bring to mind machines in front of easels, attempting to paint what they have been programmed to paint, but perhaps failing because they do not have the creativity that is latent in the cre...

 

Machines of loving grace: the quest for common ground between humans and robots
Markoff J.,  HarperCollins Publishers, New York, NY, 2016. 400 pp. Type: Book (978-0-062266-69-9)

There is little doubt that we are experiencing a resurgence of interest in artificial intelligence (AI). Most new household appliances are advertised as being “smart,” and we all carry in our pockets phones that can provide intelligent...

 

 Introduction to statistical machine learning
Sugiyama M.,  Morgan Kaufmann Publishers Inc., San Francisco, CA, 2016. 534 pp. Type: Book, Reviews: (1 of 2)

Recently, I found myself giving an impromptu book review to someone in the bookshop near to my office. I noticed that a man was browsing through a book on machine learning that I had purchased a few months ago. I won’t mention the name of th...

 

Atari to Zelda: Japan’s videogames in global contexts
Consalvo M.,  The MIT Press, Cambridge, MA, 2016. 272 pp. Type: Book (978-0-262034-39-5)

It is becoming increasingly important for researchers to critically engage with video games since they are widely believed to be the fastest-growing form of media over the coming years. One facet of this engagement is attempting to understand how ...

 

Search and optimization by metaheuristics: techniques and algorithms inspired by nature
Du K., Swamy M.,  Birkhäuser Basel, New York, NY, 2016. 434 pp. Type: Book (978-3-319411-91-0)

Search and optimization algorithms form the backbone of most modern artificial intelligence (AI) techniques. Many of the algorithms that follow the traditional path of AI use search to find optimal (or near optimal) solutions to a given problem. M...

 
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