Victoria Kostina
Computing and Mathematical Sciences
California Institute of Technology
About Professor Victoria Kostina
At the prestigious California Institute of Technology, a world-renowned hub for science and engineering, the Department of Computing and Mathematical Sciences fosters a uniquely interdisciplinary environment for foundational research. Professor Victoria Kostina contributes to this esteemed academic community, where the integration of mathematical rigor with practical engineering challenges is a hallmark. Caltech's reputation for pushing the boundaries of fundamental knowledge provides an ideal setting for the department's work in theoretical and applied disciplines, creating a fertile ground for pioneering discoveries in information sciences and beyond.
🧬Research Focus
Professor Kostina’s research establishes fundamental limits for modern communication and control systems. Her focus on nonasymptotic information theory is critical for understanding systems operating under stringent delay and reliability constraints, such as those found in real-time wireless communications and autonomous networks. By employing advanced tools from probability and concentration of measure, her work in feedback communication, sparse coding, and the intersection of control and information theory provides the theoretical bedrock for innovations in next-generation networks, low-latency systems, and efficient data streaming, addressing the core challenges of an increasingly connected world.
🎓Student Fit & Career
Graduate students pursuing a PhD under Professor Kostina’s mentorship will find an ideal environment for rigorous theoretical exploration. Students with strong foundations in probability, stochastic processes, and mathematical analysis, coupled with an interest in deriving fundamental performance limits, will thrive in this research group. The academic mentorship focuses on developing deep analytical skills and the ability to translate abstract theory into insights for engineering systems. This training prepares students for impactful careers at the forefront of technology, whether in academic research, industrial R&D for telecommunications and computing, or in emerging fields like networked control and machine learning.
Research Areas
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