Yang proposes to advance machine learning without incurring bias and without unnecessary energy use. He plans to complete this by designing and analyzing efficient and effective optimization algorithms to address computational challenges in new machine learning paradigms. The project will enhance the ability to solve large-scale, real-world problems from more diverse and broad applications. Furthermore, it will strive to communicate the significance of machine learning and optimization and provide excellent research experience to students at all levels.
The CAREER award is the most prestigious NSF honor for early-career faculty who demonstrate the potential to serve as role models in research and education. These highly competitive grants, presented to engineers and scientists across the country, help establish a firm foundation for a lifetime of leadership in integrating education and research in their department and university.
Yang joined the University of Iowa faculty in 2014. His current research interests include machine learning and optimization and its applications to big data analytics.