Seyed Ahmad Mojallal
Research Interests
Spectral Graph Theory, Matrix Theory
Current Courses
CS 110 Programming and Problem Solving
Recent Publications
1) Shaun Fallat, Valerii Maliuk, Seyed Ahmad Mojallal, and Sandra Zilles. Learning hyper-trees from shortest path queries. In Algorithmic learning theory 2024, volume 237 of Proc. Mach. Learn. Res. (PMLR), pages 16 pp. [574–589]. Proceedings of Machine Learning Research PMLR,
2) Shaun Fallat, Neha Joshi, Roghayeh Maleki, Karen Meagher, Seyed Ahmad Mojallal, Shahla Nasserasr, Mahsa Shirazi, Andriaherimanana Sarobidy Razafimahatratra, and Brett Stevens. The q-analogue of zero forcing for certain families of graphs. Discrete Appl. Math., 348:91–104, 2024.
3) Mojallal, Seyed Ahmad; Jung, Ji-Hwan; Cheon, Gi-Sang; Kim, Suh-Ryung; Kang, Bumtle Structural properties of Toeplitz graphs. Discrete Math. 345 (2022), no. 11, Paper No. 113016, 11 pp.
4) Fallat, Shaun; Mojallal, Seyed Ahmad On the minimum number of distinct eigenvalues of a threshold graph. Linear Algebra Appl. 642 (2022), 1–29.
5) Cheon, Gi-Sang; Kim, Jang Soo ; Mojallal, Seyed Ahmad; Yoo, Meesue. Symmetric Pascal matrices and related graphs, Linear and Multilinear Algebra, (2021). https://doi.org/10.1080/03081087.2021.1954584.
6) Mojallal, Seyed Ahmad; Hansen, Pierre. A relation between proximity and the third largest distance eigenvalue of a graph. Discrete Appl. Math. 293 (2021), 50–58.