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 Atlas Wang received a Data Science Research Award from Adobe for his work on “Towards Automated Design of Efficient Deep Multi-Modal Recommendation Models.” Every year, Adobe funds a university faculty research program to “promote the understanding and use of data science in the area of marketing with the goal “to encourage both theoretical and empirical development of solutions to problems in marketing.”

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.”

Advances in machine learning are announced every day, but efforts to fundamentally rethink the core algorithms of AI are rare.