Vipin Kumar

E356901

Vipin Kumar is a prominent computer scientist known for his influential research in data mining and high-performance computing, particularly in applications to climate and earth sciences.

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Predicate Object
instanceOf computer scientist
awardReceived Fellow of the American Association for the Advancement of Science
surface form: AAAS Fellow

Fellow of the Association for Computing Machinery
surface form: ACM Fellow

SIGKDD Innovation Award
surface form: ACM SIGKDD Innovation Award

IEEE Computer Society awards
surface form: IEEE Computer Society Technical Achievement Award

IEEE Fellow
Fellow of the Society for Industrial and Applied Mathematics
surface form: SIAM Fellow
countryOfCitizenship United States of America
surface form: United States
educatedAt Indian Institute of Technology Roorkee
University of Maryland
surface form: University of Maryland, College Park
employer University of Minnesota
fieldOfWork climate informatics
data mining
earth sciences applications
graph mining
high-performance computing
machine learning
parallel algorithms
pattern recognition
spatial data mining
hasAcademicDegree PhD in computer science
hasPublicationType book chapters
conference papers
edited volumes
journal articles
knownFor applications of data mining to climate science
applications of data mining to earth sciences
large-scale graph and network analysis
research in data mining
research in high-performance computing
spatial and spatio-temporal data mining methods
work on climate extremes and climate change patterns
languageSpoken English
memberOf Association for Computing Machinery
Institute of Electrical and Electronics Engineers
SIAM
surface form: Society for Industrial and Applied Mathematics
notableWork co-authoring the textbook "Introduction to Data Mining"
methods for mining climate extremes
research on discovery of teleconnection patterns in climate data
occupation professor
researcher
positionHeld Director of Army High Performance Computing Research Center
Head of the Department of Computer Science and Engineering at the University of Minnesota
William Norris Professor of Computer Science and Engineering
researchInterest applications of AI to earth and environmental sciences
big data analytics
parallel and distributed computing
scientific data mining
workLocation Minneapolis

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