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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Vipin Kumar canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3425610 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vipin Kumar Context triple: [SIGKDD Innovation Award, notableRecipient, Vipin Kumar]
-
A.
Rupesh Kumar Srivastava
Rupesh Kumar Srivastava is a computer scientist and researcher known for his work in deep learning and neural networks, including influential collaborations with Christian Szegedy.
-
B.
Ashok Arora
Ashok Arora is an Indian entrepreneur best known as one of the co-founders of the global IT services and consulting company Infosys.
-
C.
Satish Jain
Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
-
D.
Rajeev Misra
Rajeev Misra is an Indian-born financier and executive best known for leading SoftBank’s Vision Fund, one of the world’s largest technology investment funds.
-
E.
Yogendra Shukla
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vipin Kumar Target entity description: 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.
-
A.
Rupesh Kumar Srivastava
Rupesh Kumar Srivastava is a computer scientist and researcher known for his work in deep learning and neural networks, including influential collaborations with Christian Szegedy.
-
B.
Ashok Arora
Ashok Arora is an Indian entrepreneur best known as one of the co-founders of the global IT services and consulting company Infosys.
-
C.
Satish Jain
Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
-
D.
Rajeev Misra
Rajeev Misra is an Indian-born financier and executive best known for leading SoftBank’s Vision Fund, one of the world’s largest technology investment funds.
-
E.
Yogendra Shukla
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf | computer scientist ⓘ |
| awardReceived |
AAAS Fellow
ⓘ
ACM Fellow ⓘ ACM SIGKDD Innovation Award ⓘ
linked to:
SIGKDD Innovation Award
IEEE Computer Society Technical Achievement Award ⓘ
linked to:
IEEE Computer Society awards
IEEE Fellow ⓘ SIAM Fellow ⓘ |
| countryOfCitizenship |
United States
ⓘ
linked to:
United States of America
|
| educatedAt |
Indian Institute of Technology Roorkee
ⓘ
University of Maryland, College Park ⓘ
linked to:
University of Maryland
|
| 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 ⓘ Society for Industrial and Applied Mathematics ⓘ
linked to:
SIAM
|
| 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 ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Vipin Kumar Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.