Master’s Thesis Presentation • Data Systems — Iterative Edit-based Unsupervised Sentence Simplification
Please note: This master’s thesis presentation will be given online.
Dhruv Kumar, Master’s candidate
David R. Cheriton School of Computer Science
Dhruv Kumar, Master’s candidate
David R. Cheriton School of Computer Science
Stavros Birmpilis, PhD candidate
David R. Cheriton School of Computer Science
Any nonsingular matrix $A \in \mathbb{Z}^{n\times n}$ is unimodularly equivalent to a unique diagonal matrix $S = diag(s_1, s_2, \ldots, s_n)$ in Smith form. The diagonal entries, the invariant factors of $A$, are positive with $s_1 \mid s_2 \mid \cdots \mid s_n$, and unimodularly equivalent means that there exist unimodular (with determinant ±1) matrices $U, V \in \mathbb{Z}^{n\times n}$ such that $UAV = S$.
Amit Sinhababu
Aalen University, Germany
Anindya De, Department of Computer and Information Science
University of Pennsylvania
Ershad Banijamali, PhD candidate
David R. Cheriton School of Computer Science
Aida Sheshbolouki, PhD candidate
David R. Cheriton School of Computer Science
Bryce Sandlund, PhD candidate
David R. Cheriton School of Computer Science
Sebastian Verschoor, PhD candidate
David R. Cheriton School of Computer Science
Digital adoption and dependence have been dramatically propelled by the COVID-19 pandemic. This sudden growth spotlights critical issues such as cybersecurity, privacy, resilience, the highly consequential shift to 5G, and what innovative technologies may follow. Leadership in 5G adoption will be a vital determinant of future national competitiveness, as 5G will further enable dramatic technological advances in logistics, manufacturing, autonomous vehicles, mining, construction and smart grids.
Hong Zhou, PhD candidate
David R. Cheriton School of Computer Science