Dr. Liyi Dai Elected Fellow of the Institute of Electrical and Electronics Engineers
February 14, 2014
Dr. Liyi Dai, a program manager in the U.S. Army Research Laboratory's Army Research Office's Information Sciences Directorate, has been selected as an Institute of Electrical and Electronics Engineers (IEEE) Fellow.
Dai is being recognized for leadership and for contributions to discrete event systems and singular systems.
To be elected as an IEEE Fellow is a prestigious distinction reserved for scientists and engineers who demonstrate outstanding proficiency in a field of interest to IEEE, and for those who have achieved extraordinary accomplishments in their profession.
As the highest grade of membership conferrable by IEEE, the total number of Fellows selected in any one year cannot exceed one-tenth of one percent of total IEEE membership.
Dai has made breakthrough contributions to performance analysis and optimization of discrete event systems-mathematical models for studying the behavior of event-driven complex systems such as manufacturing systems, communication networks, service systems and transportation systems.
He pioneered an approach of structural perturbation analysis for performance analysis and optimization of discrete event systems that is computationally efficient and has guaranteed desirable statistical properties.
Dai's results on performance ranking laid a theoretical foundation for the approach of ordinal optimization that has been used in a range of applications such as automation, manufacturing process optimization, computer simulation, financial systems, machine learning and communications networks.
He is an internationally recognized expert on singular systems that describe systems with algebraic constraints, and pioneered an approach of regularization that led to breakthroughs on the analysis and synthesis of singular systems.
Dai's distinctive contribution was the realization of controllers of singular systems in the form of regular systems, which is essential for maintaining reliable performance of closed-loop systems in practice.
His contributions on singular systems have lasting impacts on the analysis and control of constrained interconnected systems that arise in fields such as robotics, manufacturing automation, economics and electronic circuit systems.
Dai manages the Information Processing and Fusion program at ARO, where he is responsible for a portfolio of basic research projects focused on creating innovations that support Department of Defense missions in data analysis and information processing for C4ISR, robotic perception and precision targeting.
The research is executed in close coordination with his ARL colleagues and with scientists and engineers in other Research, Development and Engineering Command laboratories to ensure the highest payoff to the Army.
His leadership has been instrumental in developing and sustaining relationships between academic researchers and Army scientists, which has led to close collaborations and technology transitions in the areas of compressive sensing, video analysis and color night vision.
Dai played a leading role in establishing four major Multidisciplinary University Research Initiatives and has established strong collaborations between academic researchers and ARL scientists that led to over 30 joint publications in 2013.
He received a doctorate degree in engineering science from Harvard University in 1993.
Dai has authored or coauthored more than 75 peer-reviewed journal and conference publications in the areas of control systems, simulation, optimization and discrete event systems, and is the author of Singular Control Systems (Berlin: Springer-Verlag, 1989).
He is a recipient of the National Science Foundation Early Faculty Development award (1996) and has served as associate editor or guest editor for several journals including the IEEE Transactions on Automatic Control.
Dai has served as cochair, publication chair, or as a member of a program committee for dozens of major technical conferences for the IEEE, the International Society of Information Fusion, the International Society for Optics and Photonics and the Military Sensing Symposium.
He received the U.S. Army Achievement Medal for Civilian Service in 2010.