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Featured PhD Student - February 2012

 

Hany SalahEldeen
PhD, Old Dominion University

 


Hany SalahEldeen graduated with honors from Alexandria University in 2008 with a B. Sc. in Computer Engineering. Prior to joining his alma mater he won two medals in national algorithms competitions. During and after his bachelors he worked as a software engineer at eSpace technologies. In July 2008 his graduation project team created a fully distributed web-based IDE and won the best graduation project award in Alexandria University for that year and later reached the finals in a national innovative projects competition. In October of the same year he started his masters degree at Universitat Autonoma de Barcelona and in August 2009 he graduated with a M. Sc. in Computer Vision and Artificial intelligence with a thesis entitled: "Colour Naming Using Context-Based Learning through a Perceptual Model". In September of the same year he joined Microsoft Research Cairo as a research intern and worked with Dr. Nayer Wanas on developing a social based recommendation system.

In January of 2010 he joined Old Dominion University and started his PhD. Later the same month he was invited to attend Google's Graduate CS Forum. In March he joined Dr. Michael Nelson's Web Science and Digital Libraries research group where he started investigating social-based user intention modeling and its correlation to URL shortening and archiving. In June 2010 he joined Google Zurich GmbH in Switzerland as a software development intern where he worked on a project in cooperation between the Google Translate team and the MENA team. The following summer of 2011 he joined Microsoft Silicon Valley as an intern as well in the Power Point team based in Mountain View California.

As part of his research concerning the archival aspect of URI shortening and sharing, he measured the availability of social media resources documenting the Egyptian Revolution one year after their initial sharing. He found a surprising 10% of those resources were missing, primarily consisting of images and videos uploaded by individual users. Although link rot is a well-established concept in the web archiving community, the loss of these popular and historically important resources has resonated with the general web community, highlighting the need for better archiving of social media.