Dhruv Batra’s Project Featured in VT News

dhruv_batra_200When Dhruv Batra of the Virginia Tech College of Engineering travels in September to Zurich for the 2014 European Conference on Computer Vision, he will be a rising star in the growing field of vision and pattern recognition in computers.

The assistant professor with Virginia Tech’s Bradley Department of Electrical and Computer Engineering previously co-led a tutorial in the research field at another industry conference in Ohio this past June. On his way to Zurich, Batra will give talks on the same subject — creating software programs that help computers “see” and understand photographs just as humans can – at software giant Microsoft’s research lab at Cambridge University and then a separate event at Oxford University, both in the United Kingdom.

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Lenwood Heath Oversees Implementation of Revolutionary Naming System for Organisms


Lenwood Heath, DAC faculty member, is working with Boris Vinatzer, associate professor in the College of Agricultural and Life Sciences who has developed a new way to classify and name organisms based on their genome sequence and in doing so created a universal language that scientists can use to communicate with unprecedented specificity about all life on Earth.  Heath oversaw the development of the bioinformatic pipeline to implement the system. He was interested in collaborating with Vinatzer because of the potential to empower scientists to communicate accurately with one another about biological systems. To read more about their collaboration click here.

CloudCV continues to make a splash!


Congrats to Dhruv Batra for his Windows Azure for Research Award! Microsoft will provide one year of computing and storage support to CloudCV on their Azure cloud platform.

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Samah Gad’s Research Covered by the American Historical Association

IMG_ewing-figure1(635x400)The new methods of “big data” analysis can inform and expand historical analysis in ways that allow historians to redefine expectations regarding the nature of evidence, the stages of analysis, and the claims of interpretation.1 For historians accustomed to interpreting the multiple causes of events within a narrative context, exploring the complicated meaning of polyvalent texts, and assessing the extent to which selected evidence is representative of broader trends, the shift toward data mining (specifically text mining) requires a willingness to think in terms of correlations between actions, accept the “messiness” of large amounts of data, and recognize the value of identifying broad patterns in the flow of information.2

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Congrats to C.T-Lu and his students

embers copyCongrats to C.T-Lu and his students whose paper on finding the breadcrumbs of civil unrest on Twitter has been picked as a Jan 2014 highlight by the IEEE Special Technical Community (STC) on Social Networking! For more details visit here

Congratulations to DAC PhD (CS) graduate Feng Chen

22eb386Congratulations to DAC PhD (CS) graduate Feng Chen (advisor: CT Lu) who has accepted a faculty position at SUNY, Albany! Feng joins in Jan 2014.

Congrats to Dhruv Batra on Amazon Web Services in Education Grant

dhruv_batra_200Congrats to Dhruv Batra who has received an Amazon Web Services in Education grant for developing CloudCV, a cloud-based computer vision platform for processing big visual data. CloudCV provides APIs for MATLAB and Python as well as a web front-end, and will benefit both experts and non-experts who desire to analyze image data. For more go to CloudCv

Congratulations to Aditya Prakash on NSF Grant

badityap-portraitCongratulations to DAC faculty member Aditya Prakash for his new NSF award entitled: “Immunization in Influence and Virus Propagation on Large Networks”! Aditya is exploring the question: given a graph, like a social network or the blogosphere, in which an virus (or meme or rumor) has been spreading for some time, how to select the k best nodes for immunization/quarantining immediately? The work has several applications in public health and epidemiology, viral marketing and social media like Twitter.

Congratulations to DAC PhD alumnus Alex Endert

COC Faculty/Staff portraits at Klaus.

COC Faculty/Staff portraits at Klaus.

Close on the heels of DAC PhD alumnus Alex Endert winning the outstanding dissertation award in the CS department, he is designated the recipient of the first ever annual IEEE VGTC Best Doctoral Dissertation Award! Congrats Alex and advisor Chris! The award was presented at the IEEE VIS Conference in October 2013.

DAC PhD student Ji Wang and DAC alumnus Sheng Guo are Round One Winners of the Yelp Dataset Challenge

Yelp_Logo_No_Outline_ColorCongratulations to DAC PhD student Ji Wang (advisor: Chris North), and DAC alumnus Sheng Guo who, along with U. Toronto grad student Jian Zhao, Round One Winners of the Yelp Dataset Challenge! They are in good company: other winners are from CMU, Stanford, and Berkeley.