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Qiu Qin

Researcher at Duke University

Publications -  13
Citations -  822

Qiu Qin is an academic researcher from Duke University. The author has contributed to research in topics: Electric power system & Fault (power engineering). The author has an hindex of 6, co-authored 13 publications receiving 551 citations. Previous affiliations of Qiu Qin include Xi'an Jiaotong University & Binghamton University.

Papers
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Journal ArticleDOI

Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma.

TL;DR: An integrative analysis of whole-exome sequencing and transcriptome sequencing in a cohort of DLBCL patients is performed to comprehensively define the landscape of 150 genetic drivers of the disease and their functional roles to identify new therapeutic opportunities in the disease.
Proceedings ArticleDOI

Maximally secure mitigation of protection misoperations in power systems

TL;DR: The processes of misoperations and their mitigation into a scalable stochastic discrete-state model are introduced and a mitigation strategy is developed to minimize the risk of cascading failures.
Journal ArticleDOI

A multiple model filtering approach to transmission line fault diagnosis

TL;DR: In this article, the authors provide justification and implementation for a multiple model filtering approach to diagnosis of transmission line three-phase short-to-ground faults in the presence of protection misoperations.
Journal ArticleDOI

Secondary protective control for mitigation of protection misoperations in electric power systems

TL;DR: In this paper, the authors investigated the feasibility of a selective secondary protection control strategy to maximize the likelihood of recovery from misoperations of the existing primary protection in a power system.
Proceedings ArticleDOI

Recloser and sectionalizer placement for reliability improvement using discrete event simulation

TL;DR: This paper presents a cost-effective strategy to place automatic reclosers and sectionalizers into electric distribution systems for reliability improvement using simulation and probability that is robust against the variability in model predicted SAIFI and CAIDI.