Maxim Raginsky
Scholar

Maxim Raginsky

Google Scholar ID: MiVoUjEAAAAJ
Professor of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign
Machine LearningControl TheoryOptimizationApplied ProbabilityInformation Theory
Citations & Impact
All-time
Citations
3,954
 
H-index
30
 
i10-index
62
 
Publications
20
 
Co-authors
26
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published numerous papers and supervised several graduate students and postdocs. His students and postdocs are now working at various prestigious institutions.
Research Experience
  • Professor at the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. Also affiliated with the Coordinated Science Laboratory, Illinois Institute for Data Science and Dynamical Systems, Center for Advanced Electronics through Machine Learning, and the Center for the Science of Information.
Background
  • Research interests include probability and stochastic processes, deterministic and stochastic control, machine learning, optimization, and information theory. Recent research is motivated by fundamental questions in modeling, learning, and simulation of nonlinear dynamical systems, with applications to advanced electronics, autonomy, artificial intelligence, and quantum information science.
Miscellany
  • Used to maintain a research blog, The Information Structuralist. Now writes a Substack newsletter about the history and philosophy of engineering, The Art of the Realizable.