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Atlas Wang Receives Multiple Grants for Work on Artificial Intelligence

Oct. 4, 2021
WNCG professor Atlas Wang has received several grants for his work on artificial intelligence. 
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Qi Lei Wins Oden Institute Outstanding Dissertation Award

May 10, 2021
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.
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Aryan Mokhtari Receives NSF Grant to Research Optimization Algorithms for Large-Scale Learning

Sept. 29, 2020
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.”
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Prof. Andrea Alù  and Prof. Ray Chen Among Three UT Austin MURI Recipients

July 18, 2016
AUSTIN, Texas — Three researchers in the Cockrell School of Engineering at The University of Texas at Austin have been selected by the Department of Defense to lead Multidisciplinary University Research Initiative (MURI) projects, receiving grants totaling $22.7 million to help advance innovative technologies in energy, computing and nanoelectronics.
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Prof. Andrea Alù Selected for DoD Multidisciplinary University Research Initiative (MURI) Award

April 13, 2016
Prof. Andrea Alù has been awarded a Department of Defense Multidisciplinary University Research Initiative (MURI) award on Attojoule Nanooptoelectronics, funded by the Air Force Office of Scientific Research. Prof. Alù and his team, formed by researchers from Stanford University, Harvard University, University of Pennsylvania, and international collaborators from Belgium and the Netherlands, were selected to work on the project "Ultralow Power, Ultrafast, Integrated Nano-optoelectronics".