George Mason University
Amarda Shehu's research focuses on novel algorithms to bridge between computer and information science, engineering, and the life sciences and emphasizes problem solving in AI, search, planning, and optimization for high-dimensional and non-linear variable spaces, and machine learning for the simulation, analysis, and characterization of complex dynamics systems operating in the presence of constraints.
Application domains are diverse and span from bioinformatics and computational biology, to computer-aided engineering design, and human-machine teaming. Shehu's research is supported by various National Science Foundation programs, including Intelligent Information Systems, Computing Core Foundations, and Software Infrastructure, as well as state and private research awards.
Shehu is a professor in the Department of Computer Science in the Volgenau School of Engineering at George Mason University. She holds affiliated appointments in the Department of Bioengineering and the School of Systems Biology.
Shehu earned her Ph.D. from Rice University in 2008.