News

WNCG professor Atlas Wang has received several grants for his work on artificial intelligence. 

WNCG alumnus Dr. Qi Lei has received the 2021 Oden Institute Outstanding Dissertation Award. Her winning dissertation, “Provably effective algorithms for min-max optimization," proposes optimization algorithms to find the equilibrium point of two-player zero-sum games. Read the dissertation abstract and find the link to the full text via the University of Texas Libraries. At WNCG, Lei was advised by Prof. Alex Dimakis; she was co-advised by Dr. Inderjit Dhillon from the University of Texas Department of Computer Science.

WNCG professor Aryan Mokhtari has received a grant from the National Science Foundation (NSF) to study Computationally Efficient Second-Order Optimization Algorithms for Large-Scale Learning. The project “lays out an agenda to develop a class of memory efficient, computationally affordable, and distributed friendly second-order methods for solving modern machine learning problems.”

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

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.