Welcome to my website!

I am an assistant professor at the Econometric Institute of Erasmus University Rotterdam, working as a part of the Optimization group. In my research I develop solution approaches and approximation algorithms for non-linear optimization problems using convex programming. My work covers both theory and real-world applications. I usually deal with problems where optimization over networks is needed (for example, energy, water, and transport systems). I am also interested in applications from economics, statistics, and machine learning. Before joining academia, I worked in industry as a financial analyst.

Publications.

• Kuryatnikova, O., Vera, J.C., & Zuluga, L.F. (2024). Reducing non-negativity over general semialgebraic sets to non-negativity over simple sets, SIAM Journal on Optimization, 34 (2), 1970-2006.
• Kuryatnikova, O., Ghaddar, B., Molzahn, D.K. (2023). Two-stage robust quadratic optimization with equalities and its application to optimal power flow. SIAM Journal on Optimization, 33(4), 2830-57.
• Kuryatnikova, O., Sotirov, R., Vera, J.C. (2021). The maximum k-colorable subgraph problem and related problems. Informs Journal on Computing, 34, 656-669.
• Kuryatnikova, O. & Vera, J.C. (2020). New Bounds for Truthful Scheduling on Two Unrelated Selfish Machines. Theory of Computing Systems, 64, 199-226
• Kuryatnikova, O. & Vera, J.C. (2017). Approximating the cone of copositive kernels to estimate the stability number of infinite graphs. Electronic Notes in Discrete Mathematics, 62, 303-308.

Preprints under revision.

• Dupont, C., Kuryatnikova, O., Ghiassi-Farrokhfal, Y., Bunn, D. (2024). The unintended carbon impacts of electricity storage and demand management.
• Bekker, B., de Oliveira, F.M., Kuryatnikova, O., Vera, J.C (2023). Optimization hierarchies for distance-avoiding sets in compact spaces.
• Kuryatnikova, O. & Vera, J.C. (2019). Generalizations of Schoenberg’s theorem on positive definite kernels.
• Kuryatnikova, O. & Vera, J.C. (2018). Positive semidefinite approximations to the cone of copositive kernels.

I am also working on the following topics, for which no preprints are available yet.

• Sparse positive semidefinite relaxations for water networks problems.
• Designing a network of shared remote offices in Mexico City.

You can find my CV here.

Lecturer and course coordinator:

• Convex Analysis for Optimization, PhD, Dutch Network on the Mathematics of Operations Research (LNMB) (2024 - now)

• Optimization under Uncertainty (state-of-the-art robust and stochastic optimization methods), Master’s, Erasmus University Rotterdam (2021 - now)

• Linear Programming (mathematical modeling and solution methods for linear optimization), Bachelor’s, Erasmus University Rotterdam (2021 - now)

• kuryatnikova@ese.eur.nl
• Room ET-21, Department of Econometrics, Burg. Oudlaan 50, 3062 PA Rotterdam, the Netherlands
• By appointment