Sheldon Jacobson

Sheldon Jacobson is a Professor in the Department of Computer Science at the Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign. He holds cross-appointments in Electrical and Computer Engineering, Industrial and Enterprise Systems Engineering, Biomedical and Translational Sciences, Mathematics, and Statistics.

His research spans operations research, optimization, probability, and applied mathematics, with applications in political redistricting, homeland security, stochastic processes, and societal problem-solving. Key focus areas include developing algorithmic frameworks for electoral fairness, optimizing complex systems, and advancing computational solutions for public policy challenges.

Recent publications demonstrate strong emphasis on redistricting algorithms, optimization methodologies, and computational social science, with consistent applications in political systems and security domains.