George Karniadakis
American mathematician
Facts
16 properties- Instance of
- human
- Date of birth
- 1959
- Place of birth
- Crete
- Country of citizenship
- United States[6]
- Occupation
- mathematician, university teacher, computer scientist
- Employer
- Brown University[8]
- Field of work
- applied mathematics[7]
- Educated at
- Massachusetts Institute of Technology[9]
- Award received
- Fellow of the Society for Industrial and Applied Mathematics, Fellow of the American Association for the Advancement of Science, G. I. Taylor Medal[12][13][14]
- Doctoral advisor
- Anthony Tyr Patera, Borivoje Budimira Mikic[10][11]
- Doctoral student
- Haralambos Marmanis, Mike Kirby, Spencer J Sherwin, Didier Lucor, Dong Liu, Sirod Sirisup, Constantinos Evangelinos, Yiqing Du, Xia Ma, Dongbin Xiu, Vasileios Symeonidis, Ali Beskok, Xiaoliang Wan, Jasmine Y. Foo, Paul Batcho, Ronald Dean Henderson, Ioannis Giannakouros, Catherine Helen Crawford, David John Newman, James Trujillo, Igor L. Lomtev, Timothy Warburton, HsinChih Frank Liu, Igor V. Pivkin, Guang Lin, Xian Luo, Hyoungsu Baek, Dmitry A. Fedosov, Wenxiao Pan, Leopold Grinberg, Jonas Šukys, Jin Xu, Huan Lei, Xiu Yang, Minseok Choi, Zhongqiang Zhang, Yildirm Battalgazi Yildirium, Yue Yu, Mohsen Zayernouri, Mamikon Gulian, Heyrim Cho[17][18][19][20][21][22][23][24][25][26][27][28][29][30]
- Languages spoken, written or signed
- Modern Greek, English[32][33]
- Maintained by WikiProject
- WikiProject Mathematics
🏷️ Also known as
en George E. Karniadakis
en George Em. Karniadakis
cs George Em Karniadakis
cs G. Karniadakis
🔖 Identifiers · 34
- ISNI
- 0000000114473587
- ORCID iD
- 0000-0002-9713-7120
- VIAF cluster ID
- 69211116
- Library of Congress Authorities ID
- no95002512
- GND ID
- 12348393X
- Image (Wikimedia Commons)
- Portrait of Professor George Em Karniadakis at Brown University.jpg ↗
- Academic Tree ID
- 348179
- BIBSYS ID
- 31825
- Bibliothèque nationale de France ID
- 150277973
- CONOR.SI ID
- 25013347
- Canadiana Name Authority ID
- ncf11468885
- CiNii Research ID
- 1140563741556419584
Show all 34 identifiers +22
- Cyprus University of Technology ID
- 31278
- DBLP author ID
- 16/1153
- DDB person (GND) ID
- 12348393X
- Freebase ID
- /m/0134l_24
- Google Scholar author ID
- yZ0-ywkAAAAJ
- IdRef ID
- 076742164
- J9U entity ID
- 987007435279205171
- Libris-URI
- mkz25fx51j7kqjt
- MR Author ID
- 98575
- Mathematics Genealogy Project ID
- 41412
- NACSIS-CAT author ID
- DA12590706
- NL CR AUT ID
- zcu2011659271
- NUKAT ID
- n2003094401
- National Marine Biological Library ID
- 87738
- Nationale Thesaurus voor Auteursnamen ID
- 274732297
- RERO ID (legacy)
- A009476637
- SELIBR ID
- 277895
- SHARE Catalogue author ID
- 472770
- UOM ID
- 58393
- WorldCat Entities ID
- E39PCjGTqpQpFkH3y7HtQvKx8P
- Yale LUX ID
- person/554b87d0-06c3-4999-90cd-7bc5af6965bc
- ZbMATH author ID
- karniadakis.george-em
🔗 Connections
Author of 130
Accelerating gradient descent and Adam via fractional gradients,
A comparative study of coarse-graining methods for polymeric fluids: Mori-Zwanzig vs. iterative Boltzmann inversion vs. stochastic parametric optimization,
A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems,
Adaptive activation functions accelerate convergence in deep and physics-informed neural networks,
A deep convolutional neural network for classification of red blood cells in sickle cell anemia,
A framework based on symbolic regression coupled with eXtended Physics-Informed Neural Networks for gray-box learning of equations of motion from data,
A general CFD framework for fault-resilient simulations based on multi-resolution information fusion,
A generative modeling framework for inferring families of biomechanical constitutive laws in data-sparse regimes
+122 more
← Authored by 130
Accelerating gradient descent and Adam via fractional gradients,
A comparative study of coarse-graining methods for polymeric fluids: Mori-Zwanzig vs. iterative Boltzmann inversion vs. stochastic parametric optimization,
A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems,
Adaptive activation functions accelerate convergence in deep and physics-informed neural networks,
A deep convolutional neural network for classification of red blood cells in sickle cell anemia,
A framework based on symbolic regression coupled with eXtended Physics-Informed Neural Networks for gray-box learning of equations of motion from data,
A general CFD framework for fault-resilient simulations based on multi-resolution information fusion,
A generative modeling framework for inferring families of biomechanical constitutive laws in data-sparse regimes
+122 more
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Summary
George Karniadakis was born in 1959[1] in Crete[2]. He has worked as a mathematician[3], university teacher[4], and computer scientist[5].
FAQs
Where was George Karniadakis born?
George Karniadakis was born in Crete[2].
What did George Karniadakis do for work?
George Karniadakis worked as a mathematician[3], university teacher[4], and computer scientist[5].
Where did George Karniadakis go to school?
George Karniadakis was educated at Massachusetts Institute of Technology[9].
What awards did George Karniadakis receive?
Honors received include Fellow of the Society for Industrial and Applied Mathematics[12], Fellow of the American Association for the Advancement of Science[13], and G. I. Taylor Medal[14].