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Prof. Robert Heath delivered a keynote speech at IEEE Communication Society’s 2018 International Conference on Communications (IEEE ICC).

Recent years have radically changed the way people socialize; in parts of the developed world that have good broadband and cellular penetration, the average person now spends more time on online social networks than on physical meetings with acquaintances outside their immediate family. “We were socializing before social networks,” Prof. Sujay Sanghavi states. “But now we can automatically capture fine details of social interaction, such as when someone views a photo and how they share and interact with the image.” The problem now is the issue of information overload.

Prof. Joydeep Ghosh of UT ECE was the keynote speaker at the inaugural Workshop on Divergences and Divergence Learning (WDDl), held in Atlanta, June 2013. In his talk, entitled "Learning Bregman Divergences for Prediction with Generalized Linear Models," which reflects joint work with ECE and WNCG student Sreangsu Acharrya,  an efficient approach to learning a broad class of predictive models was introduced. What is most remarkable about this approach is that model parameters can be estimated even when the loss function is unknown.