2018 Specialist Degree (B.S. + M.S.) in Mathematics Moscow State University, Russia

2024 Ph.D. in Mathematics University of South Carolina, USA

Before joining Wenzhou-Kean University, Dr. Chebotaeva served as a Graduate Assistant at the University of South Carolina and as a Dornsife Teaching Fellow in Mathematics at the University of Southern California. She has taught a broad range of undergraduate mathematics courses, from college algebra and precalculus to calculus, mathematical modeling, and linear algebra.

Victoria Chebotaeva is a Lecturer in Mathematics at Wenzhou-Kean University. She received her Specialist Degree (B.S. + M.S.) in Mathematics from Moscow State University in 2018 and her Ph.D. in Mathematics from the University of South Carolina in 2024.

Dr. Chebotaeva's academic work lies at the intersection of applied mathematics, mathematical modeling, and epidemiology. Her research explores mathematical models of infectious diseases, with particular interest in SEIR models, spatial dynamics, cross-diffusion, and the use of mathematical and computational methods to better understand the spread of epidemics.

Teaching has been an important part of Dr. Chebotaeva's academic career. Before joining Wenzhou-Kean University, she served as a Graduate Assistant at the University of South Carolina and as a Dornsife Teaching Fellow in Mathematics at the University of Southern California. She has taught a broad range of undergraduate mathematics courses, from college algebra and precalculus to calculus, mathematical modeling, and linear algebra.

Dr. Chebotaeva is particularly interested in making mathematics accessible and meaningful to undergraduate students. Her teaching emphasizes active participation, collaborative problem solving, and connecting mathematical ideas to real-world applications. She believes that students learn mathematics most effectively when they are given opportunities to explore ideas, ask questions, and see how mathematical tools can be used beyond the classroom.

Dr. Chebotaeva's academic work lies at the intersection of applied mathematics, mathematical modeling, and epidemiology. Her research explores mathematical models of infectious diseases, with particular interest in SEIR models, spatial dynamics, cross-diffusion, and the use of mathematical and computational methods to better understand the spread of epidemics.

Additionally, she is particularly interested in making mathematics accessible and meaningful to undergraduate students, with a teaching emphasis on active participation, collaborative problem solving, and connecting mathematical ideas to real-world applications.

1. V. Chebotaeva, A. Srinivasan, and P. Vasquez, "Differentiating contact with symptomatic and asymptomatic infectious individuals in a SEIR epidemic model," Bulletin of Mathematical Biology, vol. 87, 2025. DOI: 10.1007/s11538-025-01416-2

2. V. Chebotaeva and P. A. Vasquez, "Erlang-distributed SEIR epidemic models with cross-diffusion," Mathematics, vol. 11, e2205, 2023. DOI: 10.3390/math11092167

3. I. Astashova, V. Chebotaeva, and A. Cherepanov, "Mathematical models of epidemics in closed populations and their visualization via web application PHAPL," WSEAS Transactions on Biology and Biomedicine, vol. 15, 2018.