Dr. Yurii Vlasov

Professor

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Biography

Yurii Vlasov is the John Bardeen Endowed Chair and a full professor in the Electrical and Computer Engineering and Physics departments at the University of Illinois at Urbana-Champaign. His research focuses on developing advanced engineering approaches aimed at reverse engineering brain circuits, with significant contributions in creating silicon-based nanofluidic and nanophotonic neural probes, conducting in-vivo neurobiological experiments involving massive recordings and manipulation of brain activity, and developing machine learning algorithms for analyzing large neural datasets. Prior to joining UIUC in 2016, Vlasov held managerial research positions at IBM T.J. Watson Research Center, leading efforts in integrated silicon nanophotonics for neuromorphic computing architectures for 15 years. His earlier research experience includes positions at N.E.C. Research Institute and the Ioffe Institute of Physics and Technology in Russia, where he worked on optics and nanostructured semiconductors. Vlasov has published over 300 papers, filed around 100 patents, and received numerous awards including the IBM CEO Corporate Award. He has contributed extensively to major newspapers and scientific journals, reflecting the impact of his work on understanding cortical computations and neural circuits.

Research Interests

Experience

Research Scientist

— Present

IBM T.J. Watson Research Center • New York

Led efforts in integrated silicon nanophotonics and neuromorphic computing architectures.

Research Scientist

— Present

N.E.C. Research Institute • Princeton, N.J.

Developed semiconductor nanophotonics.

Research Scientist

— Present

Ioffe Institute of Physics and Technology • St. Petersburg, Russia

Worked on optics and nanostructured semiconductors.

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.