Works (4)

Updated: March 13th, 2024 05:01

2022 article

Bi-SIS Epidemics on Graphs - Quantitative Analysis of Coexistence Equilibria

2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), pp. 5608–5613.

By: V. Doshi*, J. Hu n & D. Eun n

TL;DR: This paper proves monotonicity of the CE with respect to effective infection rates of the two viruses, and provides the first quantitative analysis of such equilibria in the form of upper bounds involving spectral radii of the underlying graphs, as well as positiveEquilibria of related single-virus systems. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Source: Web Of Science
Added: May 1, 2023

2022 journal article

Convergence of Bi-Virus Epidemic Models With Non-Linear Rates on Networks-A Monotone Dynamical Systems Approach

IEEE-ACM TRANSACTIONS ON NETWORKING, 31(3), 1187–1201.

By: V. Doshi n, S. Mallick n & D. Eun n

author keywords: Epidemics on networks; bi-virus models; multi-layer graphs; monotone dynamical systems
TL;DR: These results are the first in providing complete convergence analysis for the bi-virus system with non-linear infection and recovery rates on general graphs, and are the best of their knowledge. (via Semantic Scholar)
Source: Web Of Science
Added: July 31, 2023

2022 journal article

Minimizing File Transfer Time in Opportunistic Spectrum Access Model

IEEE TRANSACTIONS ON MOBILE COMPUTING, 23(1), 630–644.

By: J. Hu n, V. Doshi n & D. Eun n

author keywords: Delays; Throughput; Sensors; Switches; Mathematical models; Vehicle dynamics; Computational modeling; Opportunistic spectrum access; file transfer problem; minimum transfer time; shortest path problem
TL;DR: This work explicitly considers minimizing the file transfer time for a given file in a set of heterogeneous-rate Bernoulli channels, showing that max-throughput policy doesn't minimize file transferTime in general. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 7, 2024

2021 article

Competing Epidemics on Graphs - Global Convergence and Coexistence

IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2021).

By: V. Doshi n, S. Mallick n & D. Eun n

TL;DR: This paper obtains convergence results for the entirety of the model parameter space, giving precise conditions under which the system globally converges to a trichotomy of possible outcomes: a virus-free state, a single-virus state, and to a coexistence state – the first such result. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 23, 2021

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