Victoria Kostina

Victoria Kostina is a Professor of Electrical Engineering and Computing and Mathematical Sciences at the California Institute of Technology (Caltech). Her research bridges information theory, coding theory, and wireless communications, with a focus on the nonasymptotic regime to understand fundamental limits of delay-constrained systems.

• Bachelor's, Moscow Institute of Physics and Technology
• Master's, University of Ottawa
• PhD, Princeton University

Her work explores the intersection of random processes, concentration of measure, and control theory to develop theoretical frameworks for modern communication systems. She has pioneered techniques for finite blocklength information theory and feedback communication, analyzing stability and performance in stochastic environments.

Victoria's publications span channel coding, source-channel coding, and control with communication constraints, with a focus on practical applications in real-time systems. Her research has advanced the understanding of data compression, error exponents, and quantization in nonasymptotic scenarios.

Notable scientific recognitions include:

• Princeton Electrical Engineering Best Dissertation Award (2013)
• NSF CAREER Award (2017)
• J. K. Wolf ISIT Student Paper Award Finalist (2021)

She actively supervises students in the Computing and Mathematical Sciences (CMS), Control and Dynamical Systems (CDS), and Electrical Engineering (EE) PhD programs and leads the development of the SPECTRE Toolbox for finite blocklength information theory.