Parviz Moin
E143721
Parviz Moin is a prominent mechanical engineer and computational fluid dynamicist known for pioneering work in direct numerical simulation of turbulence and for founding Stanford’s Center for Turbulence Research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Parviz Moin canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T1253366 — 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: Parviz Moin Context triple: [Petros Koumoutsakos, hasAcademicAdvisor, Parviz Moin]
-
A.
Parviz Mirza
Parviz Mirza was a Mughal prince of the early 17th century, known as one of Emperor Jahangir’s sons and a contender in the empire’s succession struggles.
-
B.
Farhad Moshiri
Farhad Moshiri is a British-Iranian businessman and investor best known for his majority ownership stake in Premier League football clubs, most notably Everton.
-
C.
Omid Kordestani
Omid Kordestani is an Iranian-American business executive best known for senior leadership roles at major tech companies including Google and Twitter.
-
D.
Ramin Golestanian
Ramin Golestanian is an Iranian-German physicist known for his pioneering work in soft matter and active matter physics, particularly in the theory of microswimmers and nonequilibrium systems.
-
E.
Dara Khosrowshahi
Dara Khosrowshahi is an Iranian-American business executive best known as the CEO of Uber and former CEO of Expedia Group.
- 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: Parviz Moin Target entity description: Parviz Moin is a prominent mechanical engineer and computational fluid dynamicist known for pioneering work in direct numerical simulation of turbulence and for founding Stanford’s Center for Turbulence Research.
-
A.
Parviz Mirza
Parviz Mirza was a Mughal prince of the early 17th century, known as one of Emperor Jahangir’s sons and a contender in the empire’s succession struggles.
-
B.
Farhad Moshiri
Farhad Moshiri is a British-Iranian businessman and investor best known for his majority ownership stake in Premier League football clubs, most notably Everton.
-
C.
Omid Kordestani
Omid Kordestani is an Iranian-American business executive best known for senior leadership roles at major tech companies including Google and Twitter.
-
D.
Ramin Golestanian
Ramin Golestanian is an Iranian-German physicist known for his pioneering work in soft matter and active matter physics, particularly in the theory of microswimmers and nonequilibrium systems.
-
E.
Dara Khosrowshahi
Dara Khosrowshahi is an Iranian-American business executive best known as the CEO of Uber and former CEO of Expedia Group.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
computational fluid dynamicist
ⓘ
mechanical engineer ⓘ person ⓘ |
| affiliation | Center for Turbulence Research ⓘ |
| awardReceived |
AIAA Fluid Dynamics Award
ⓘ
Fluid Dynamics Prize ⓘ
surface form:
APS Fluid Dynamics Prize
ASME Fluids Engineering Award ⓘ
surface form:
ASME Fluid Engineering Award
NASA Exceptional Scientific Achievement Medal ⓘ Stanford University School of Engineering teaching awards ⓘ |
| basedAt |
School of Engineering at Stanford University
ⓘ
surface form:
Stanford University School of Engineering
|
| citizenship | United States of America ⓘ |
| countryOfBirth | Iran ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| doctoralStudentOf |
Stanford Mechanical Engineering Department
ⓘ
surface form:
Stanford University mechanical engineering department
|
| educatedAt |
Stanford University
ⓘ
University of Minnesota ⓘ |
| employer | Stanford University ⓘ |
| fieldOfWork |
computational fluid dynamics
ⓘ
fluid dynamics ⓘ mechanical engineering ⓘ turbulence ⓘ |
| founded | Center for Turbulence Research ⓘ |
| hasAcademicAdvisor | John Kim ⓘ |
| hasDoctoralDegreeIn | mechanical engineering ⓘ |
| hasHIndex | very high in fluid mechanics and CFD (approximate, bibliometric) ⓘ |
| knownFor |
computational fluid dynamics of turbulent flows
ⓘ
direct numerical simulation of turbulence ⓘ founding the Center for Turbulence Research ⓘ |
| languageSpoken |
English
ⓘ
Persian language ⓘ
surface form:
Persian
|
| memberOf |
American Academy of Arts and Sciences
ⓘ
American Physical Society ⓘ American Society of Mechanical Engineers ⓘ National Academy of Engineering ⓘ |
| notableWork |
co-founding the Journal of Computational Physics editorial directions in turbulence
ⓘ
development of numerical methods for turbulent flow simulation ⓘ pioneering direct numerical simulation of turbulent channel flow ⓘ |
| placeOfBirth | Tehran ⓘ |
| positionHeld |
director of the Center for Turbulence Research at Stanford University
ⓘ
founding director of the Center for Turbulence Research ⓘ professor of mechanical engineering at Stanford University ⓘ |
| researchInterest |
aerodynamics
ⓘ
computational methods for fluid mechanics ⓘ direct numerical simulation ⓘ large eddy simulation ⓘ turbulent flows ⓘ |
| workInstitution | Stanford University ⓘ |
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: Parviz Moin Description of subject: Parviz Moin is a prominent mechanical engineer and computational fluid dynamicist known for pioneering work in direct numerical simulation of turbulence and for founding Stanford’s Center for Turbulence Research.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Stanley Corrsin