Chi Receives NSF CAREER Award
Dr. Min Chi, assistant professor of computer science at NC State, has received a Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF). She becomes the 28th NSF CAREER Award winner for the Department of Computer Science at NC State (22nd currently on faculty), one of the highest concentrations of any department in the nation.
CAREER awards are the most prestigious NSF awards that support junior faculty who exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research within the mission of their organizations.
Chi’s award, valued at $547,810, supports her proposal titled “Improving Adaptive Decision Making in Interactive Learning Environments”. The objective of this proposal is to learn about robust interaction strategies that will lead to desirable outcomes in complex interactive environments. The award is effective March 1, 2017 through February 28, 2022.
Research Abstract: For many forms of interactive environments, the system's behaviors can be viewed as a sequential decision process wherein, at each discrete step, the system is responsible for selecting the next action to take from a set of alternatives. The objective of this CAREER proposal is to learn robust interaction strategies that will lead to desirable outcomes in complex interactive environments. The central idea of this project is that strategies should not only be effective in complex interactive environments but they should also be efficient, focusing solely on the key features of the domain and the crucial decision points. These are the features and decisions that are not only associated with desirable outcomes, but without which the desirable outcomes are unlikely to occur.
Chi joined the department in 2013 as a Chancellor’s Faculty Excellence Program cluster hire in the Digital Transformation of Education. She earned her PhD (2009) and MS (2006) in the Intelligent System Program from the University of Pittsburgh, and BE (1999) in Information Science and Technology from Xi'an Jiaotong University, China. She was a Post Doctoral Fellow in the Machine Learning Department at Carnegie Mellon University, and Human Sciences and the Technologies Advanced Research Institute at Stanford University. Chi’s research primarily focuses on applying machine learning and data mining methods to improve human learning and exploring new machine learning and data mining challenges posed by learning and social science.
For more information on Dr. Chi, please click here.
Return To News Homepage