V
Vipin Kumar
Researcher at University of Minnesota
Publications - 678
Citations - 67181
Vipin Kumar is an academic researcher from University of Minnesota. The author has contributed to research in topics: Parallel algorithm & Computer science. The author has an hindex of 95, co-authored 614 publications receiving 59034 citations. Previous affiliations of Vipin Kumar include University of Maryland, College Park & United States Department of the Army.
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Honey Bee Network in Africa: Co-creating a Grassroots Innovation Ecosystem in Africa
TL;DR: In this paper, the authors present a case study of the Honey Bee Network's decentralized model for collecting, verifying and disseminating grassroots innovations and provide a roadmap for its replication in Africa.
Analysis of tri-cum biserial bulk queue model connected with a common server
TL;DR: The present paper demonstrates the tri-cum biserial bulk queue model linked with a common server with fixed batch size, postulated to follow the Poisson law, which shows the adequacy of the current arrangement procedure.
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Identification of Single Nucleotide Polymorphism Interactions Associated with Survival and Risk In Multiple Myeloma Using Novel Data Mining Methods
Brian G Van Ness,Majda Haznadar,Gang Fang,Wen Wang,Vanja Paunic,Michael Steinbach,Vipin Kumar,Patrick Day,Johnson David,Gareth J. Morgan,Bart Barlogie,Brian G.M. Durie +11 more
TL;DR: Results are reported from using novel computational approaches that efficiently identify higher order SNP interactions associated with disease risk as well as survival outcomes, while minimizing the false discovery rate.
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Feasibility of Training Community Health Workers in the Detection of Oral Cancer
Vipin Thampi,Roopa Hariprasad,Amrita John,Suzanne Tanya Nethan,Kavitha Dhanasekaran,Vipin Kumar,Praveen Birur,JS Thakur,Richard J. Lilford,Nasir M. Rajpoot,Paramjit M. Gill +10 more
TL;DR: The findings of this study suggest that it is feasible to train community health workers to perform oral cancer screening in resource-limited settings.
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Guest editorial: parallel computing in numerical optimization
TL;DR: This special issue includes some of the papers presented at a minisymposium on Parallel Computing in Nonlinear Optimization, as well as some other contributions from researchers actively working in this field.