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KAUST CEMSE CS AMCS STAT ECRC VCC Peter Richtarik Photo

Peter Richtarik

Professor, Computer Science
  • AMCS
  • CS
  • CEMSE
  • ECRC
  • AI
  • P-Richtarik
  • STAT
  • VCC
  • optimization
  • machine learning
  • Big Data
Professors
KAUST CEMSE CS Guangming Zang

Guangming Zang

Research Engineer, Computer Science
  • VCCIMAGING
  • CS
  • CEMSE
  • VCC
  • inverse problems
  • computational imaging
  • Deep learning
Research Scientists
KAUST CEMSE VCC Laurent Condat

Laurent Condat

Research Scientist, Visual Computing Center
  • CS
  • CEMSE
  • VCC
  • image processing
  • Signal processing
  • optimization
Research Scientists
KAUST-CEMSE-Ramzi-Idoughi

Ramzi Idoughi

Research Scientist, Computer Science
  • VCCIMAGING
  • CS
  • CEMSE
  • VCC
  • inverse problems
  • image processing
  • optimization
Research Scientists
KAUST-CEMSE-Adil-Salim

Adil Salim

Postdoctoral Research Fellow, Computer Science
  • CS
  • CEMSE
  • P-Richtarik
  • VCC
  • machine learning
  • optimization
  • probability theory
Postdoctoral Fellows
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El Houcine Bergou

Postdoctoral Research Fellow, InfoCloud Research Group
  • CS
  • CEMSE
  • ECRC
  • CLOUD
  • optimization
  • randomized methods
Postdoctoral Fellows
KAUST CEMSE ECRC HiCMA Ali Alnasser

Ali H. AlNasser

MS Student, Computer Science
  • CS
  • CEMSE
  • ECRC
  • HiCMA
  • Deep learning
  • High Performance Computing
  • optimization
Students
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Alyazeed Basyoni

MS Student, Computer Science
  • CS
  • CEMSE
  • ML
  • VCC
  • machine learning
  • optimization
Students
Biao Zhang

Biao Zhang

PhD Student, Computer Science
  • CS
  • CEMSE
  • P-Wonka
  • VCC
  • Deep learning
  • machine learning
  • optimization
Students
Dmitry Kovalev

Dmitry Kovalev

MS Student, Computer Science
  • CS
  • CEMSE
  • P-Richtarik
  • VCC
  • optimization
  • machine learning
Students
KAUST CEMSE VCC Egor Shulgin

Egor Shulgin

MS Student, Computer Science
  • CS
  • CEMSE
  • P-Richtarik
  • VCC
  • machine learning
  • optimization
Students
KAUST CEMSE CS VCC PRICHTARIK Konstantin Mishchenko

Konstantin Mishchenko

PhD Student, Computer Science
  • CS
  • CEMSE
  • P-Richtarik
  • VCC
  • optimization
  • machine learning
  • algorithms
Students
Tariq Alturkestani Profile picture

Tariq Alturkestani

PhD Student, Computer Science
  • CS
  • CEMSE
  • ECRC
  • HiCMA
  • High Performance Computing
  • burst buffer
  • optimization
Students
KAUST CEMSE CS PhD Dissertation Defense Guangming Zang Space Time Tomographic Reconstruction of Deforming Objects
Space-Time Tomographic Reconstruction of Deforming Objects
Guangming Zang
Monday, January 27, 17:00
- 18:30
Building 1, Level 2, Room 2202
  • VCCIMAGING
  • CS
  • CEMSE
  • VCC
  • inverse problems
  • computational imaging
  • Deep learning
PhD Dissertation Defense
KAUST CEMSE CS Graduate Seminar Adil Salim Langevin Monte Carlo as an optimization algorithm
Langevin Monte Carlo as an optimization algorithm
Adil Salim
Monday, November 11, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
  • AMCS
  • CS
  • CEMSE
  • ECRC
  • P-Richtarik
  • VCC
  • machine learning
  • Langevin Monte Carlo
  • optimization
Graduate Seminar
KAUST CEMSE CS Graduate Seminar Panagiotis Kalnis SPARQL Query Engine MAGIQ
Use Mathematics and get a SPARQL Query Engine (almost) for Free! It’s MAGiQ!
Panagiotis Kalnis
Monday, October 14, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
  • CS
  • CEMSE
  • ECRC
  • CLOUD
  • sparse matrix algebra
  • RDF engine
  • MAGIQ
Graduate Seminar
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Everything you always wanted to know about single machine large-scale graph analytics
Jasmina Malicevic, EPFL
Thursday, November 08, 12:00
- 13:00
Building 9, Level 2, Lecture Hall 1
  • CS
  • EPFL
  • large-scale graph
  • optimization
Graduate Seminar
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KAUST Research Workshop on Optimization and Big Data
Peter Richtarik
Monday, February 05, 08:00
- 05:00
Conference Center Hall, B19 L3
  • CEMSE
  • ECRC
  • optimization
  • machine learning
  • Social Network Analysis
Workshop
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KAUST CEMSE AMCS Igor Sokolov Student profile AMCS
Meet KAUST Prospective Student: Igor Sokolov
8 months ago
  • CEMSE
  • CS
  • P-Richtarik
  • machine learning
  • optimization
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KAUST CEMSE CS AMCS STAT VCC ECRC P RICHTARIK Peter Richtarik
KAUST Professor Peter Richtárik wins Distinguished Speaker Award
1 year 6 months ago
  • CEMSE
  • AMCS
  • CS
  • P-Richtarik
  • STAT
  • VCC
  • ECRC
  • optimization
  • machine learning
  • Big Data
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Accelerating-the-grapevine-effect-Richtarik-KAUST
Accelerating the grapevine effect
1 year 9 months ago
  • CS
  • VCC
  • AMCS
  • CEMSE
  • STAT
  • ECRC
  • P-Richtarik
  • optimization
  • machine learning
  • Big Data
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KAUST CEMSE EE IVUL EECVC logo
Adel is invited to give a talk in EECVC on "Optimization meets Deep Learning"
2 years 2 months ago
  • CEMSE
  • VCC
  • ECE
  • CS
  • Deep learning
  • optimization
  • EECVC
Aerial Path Planning for Urban Scene Reconstruction: A Continuous Optimization Method and Benchmark
2 years 5 months ago
  • VCCIMAGING
  • VCC
  • CS
  • optimization
  • urban planning

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