University Scholarship
Publications and Grants

Mathematics - Imperial Valley

SDSU Imperial Valley

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Scholarly Works by Year

Scholarly Works by Year

Chart data
TypeCount
Academic Publications17

Scholarly Works by Year

Chart data
YearTypeCount
2017Academic Publications2
2018Academic Publications2
2019Academic Publications1
2021Academic Publications3
2022Academic Publications1
2023Academic Publications4
2024Academic Publications3
2026Academic Publications1

Department Research Summary

The Mathematics department at Imperial Valley, San Diego State University, has a diverse research focus spanning pure and applied mathematics, ecology, and epidemiology. Faculty members explore topics such as parametric semidefinite programming, numerical methods for solving elliptic equations, and machine learning applications in geometry. Ecological themes are also prominent, with studies on stream environments, metapopulation growth, and species competition. Additionally, researchers investigate practical identifiability methods for SEIR models and the impact of resource distributions on biodiversity.

The department demonstrates strengths in mathematical modeling, computational complexity, and numerical analysis, with applications in renewable energy, conservation biology, and public health. Overall, the research output showcases a unique blend of theoretical and applied mathematics, addressing real-world problems and contributing to various scientific fields.

Generated using Llama 3.1 based on recent grants, publications, and conferences.

Department Scholarship

Academic Publications

Tung D. Nguyen; Tingting Tang; Amy Veprauskas; Yixiang Wu; Ying Zhou
Journal of Mathematical Biology, 2026, journal article,
Aquatic ecology Ecology Freshwater biology Rivers
Wenrui Hao; Jonathan D. Hauenstein; Margaret H. Regan; Tingting Tang
Journal of Scientific Computing, 2024, journal article, Cited by 2,
Curves, Algebraic Differential equations, Elliptic Numerical analysis Surfaces, Algebraic
Omar Saucedo; Amanda Laubmeier; Tingting Tang; et al.
Aims Mathematics, 2024, journal article, Cited by 10,
Epidemiology Parameter estimation System identification
Edgar A. Bernal; Jonathan D. Hauenstein; Dhagash Mehta; Margaret H. Regan; Tingting Tang
Journal of Symbolic Computation, 2023, journal article, Cited by 13,

Tung D. Nguyen; Yixiang Wu; Tingting Tang; et al.
Journal of Mathematical Biology, 2023, journal article, Cited by 3,
Aquatic ecology Biodiversity Competition (Biology) Stream ecology
Tung D. Nguyen; Yixiang Wu; Amy Veprauskas; Tingting Tang; et al.
Siam Journal on Applied Mathematics, 2023, journal article, Cited by 4,
Jonathan D. Hauenstein; Ali Mohammad-Nezhad; Tingting Tang; Tamás Terlaky
Mathematics of Operations Research, 2022, journal article, Cited by 6,
Dhagash Mehta; Tianran Chen; Tingting Tang; Jonathan Hauenstein
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, journal article, Cited by 20,
Hrishikesh Bodas; Benjamin Drabkin; Caleb Fong; Su Jin; Justin Kim; Wenxuan Li; Alexandra Seceleanu; Tingting Tang; et al.
Journal of Algebraic Combinatorics, 2021, journal article, Cited by 6,
Combinatorial optimization Computer science Geometry
Kun Li; Natalia A. Sidorovskaia; Thomas Guilment; Tingting Tang; Christopher O. Tiemann
Journal of Marine Science and Engineering, 2021, journal article, Cited by 10,
Gulf of Mexico Oceanography Wildlife conservation
Journal of Nonlinear and Variational Analysis, 2018, journal article, Cited by 2,
Aquatic animals Epidemiology Finite differences Mycobacterium marinum
Amy Veprauskas; Azmy S. Ackleh; Tingting Tang
Journal of Theoretical Biology, 2018, journal article,
Animal populations Ecological disturbances Marine biology Marine mammals