Prof. Maxim Raginsky — Research Profile
University of Illinois Urbana-Champaign · Electrical and Computer Engineering
About
Prof. Maxim Raginsky at University of Illinois Urbana-Champaign Electrical and Computer Engineering lists Machine learning, information theory, stochastic processes, optimization, dynamical systems as their registered research area.
Research keywords
Recent papers
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Model Reduction and Neural Networks
Themistoklis Sapsis 교수 연구실
Massachusetts Institute of Technology · Department of Mechanical Engineering
Dynamics-informed deep learning for predicting extreme eventsNewProceedings of the Royal Society A Mathematical Physical and Engineering Sciences · Oct 21Ellen Kuhl 교수 연구실
Stanford University · Mechanical Engineering
Autoencoder-based non-intrusive model order reduction for anisotropic and multi-physics problemsNewComputational Mechanics · Oct 13Ali Mani 교수 연구실
Stanford University · Mechanical Engineering
Generalized Forcing Method: Generation of diverse data for training linear transport PDE closure modelsNewPhysical Review Fluids · Oct 13
Other labs in this department
- Alejandro Dominguez-Garcia 교수 연구실
Power and energy systems, microgrids, smart grid, reliability analysis
- Stillwell Power Group
Andrew R. Stillwell
Power electronics, wide bandgap power devices, transportation electrification, energy conversion
- Banerjee Research Group
Arijit Banerjee
Electromechanical energy conversion, power electronics, electrical machines and drives, electric propulsion
- Bin Hu 교수 연구실
Machine learning, control systems, optimization, autonomous systems
- Nano Sensors Group
Brian T. Cunningham
Photonic crystals, optical biosensors, nanofabrication, point-of-care diagnostics
- Bruce Hajek 교수 연구실
Communication networks, information theory, stochastic analysis, optimization