Scholar
Victoria Kostina
Google Scholar ID: TooJow8AAAAJ
Professor of Electrical Engineering and Computing and Mathematical Sciences, California Institute of
Citations & Impact
Citations
1,062
H-index
18
i10-index
32
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Her research areas include non-asymptotic fundamental limits, how information constraints affect control system performance, and how learning efficiency is shaped by constraints on information, energy, or communication.
Research Experience
- Currently, she is a Professor of Electrical Engineering and Computing and Mathematical Sciences at Caltech. Prior to joining Caltech in the fall of 2014, she had completed her studies at the aforementioned institutions.
Education
- She received a Bachelor's degree from Moscow Institute of Physics and Technology, a Master's degree from the University of Ottawa, and a PhD degree from Princeton University.
Background
- Her work operates at the intersection of information theory, communications, control, and learning — particularly in regimes where classical asymptotic analysis fails to capture the demands of modern systems. She is especially focused on delay-sensitive, finite-blocklength, and feedback-driven operational scenarios.
Miscellany
- Broadly, she is interested in how the classic paradigms of Shannon theory and control must be extended or reinterpreted to meet the demands of emerging systems. This includes ultra-low-latency connectivity (Internet of Things), distributed sensing and control, real-time decision-making, and learning in resource-constrained environments.
Co-authors