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Visual Computing Center

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KAUST CEMSE CS AMCS STAT ECRC VCC Peter Richtarik Photo

Peter Richtarik

Professor, Computer Science
  • AMCS
  • CS
  • CEMSE
  • ECRC
  • AI
  • OML
  • 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
Avetik Karagulyan Post Doc

Avetik Karagulyan

Postdoctoral Fellow,
  • CEMSE
  • OML
  • VCC
  • Langevin dynamics
  • probability theory
  • optimization
Postdoctoral Fellows
KAUST CEMSE VCC Mher Safaryan

Mher Safaryan

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • OML
  • VCC
  • optimization
  • machine learning
Postdoctoral Fellows
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Alibek Sailanbayev

PhD Student, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • OML
  • VCC
  • optimization
  • machine learning
  • algorithms
Students
Biao Zhang

Biao Zhang

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

Dmitry Kovalev

PhD Student, Computer Science
  • CS
  • CEMSE
  • OML
  • VCC
  • optimization
  • machine learning
Students
KAUST CEMSE VCC Egor Shulgin

Egor Shulgin

MS Student, Computer Science
  • CS
  • CEMSE
  • OML
  • VCC
  • machine learning
  • optimization
Students
Elnur Gasanov

Elnur Gasanov

MS Student, Applied Mathematics and Computational Sciences
  • CS
  • CEMSE
  • OML
  • VCC
  • optimization
  • machine learning
  • algorithms
Students
KAUST CEMSE AMCS P Richtarik Grigory Malinovsky

Grigory Malinovsky

MS Student, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • OML
  • machine learning
  • optimization
  • applied statistics
Students
KAUST CEMSE VCC Lgor Sokolov

Igor Sokolov

MS Student, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • OML
  • machine learning
  • optimization
Students
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Samuel Horváth

PhD Student, Statistics
  • CEMSE
  • OML
  • STAT
  • VCC
  • machine learning
  • optimization
  • statistics
Students
AdelBibi

Adel Bibi

PhD Degree, Electrical and Computer Engineering
  • CEMSE
  • ECE
  • VCC
  • Computer Vision
  • machine learning
  • optimization
Former Members
KAUST-CEMSE-Adil-Salim

Adil Salim

Postdoctoral Research Fellow, Computer Science
  • CS
  • CEMSE
  • OML
  • VCC
  • machine learning
  • optimization
  • probability theory
Former Members
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Alyazeed Basyoni

MS Student, Computer Science
  • CS
  • CEMSE
  • ML
  • VCC
  • machine learning
  • optimization
Former Members
Thumbnail

Filip Hanzely

PhD Degree, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • OML
  • VCC
  • optimization
  • machine learning
Former Members
KAUST-CEMSE-Ganesh-Sundaramoorthi

Ganesh Sundaramoorthi

Assistant Professor, Electrical and Computer Engineering
  • AMCS
  • CEMSE
  • ECE
  • VCC
  • Computer Vision
  • optimization
  • geometric modeling
Former Members
KAUST CEMSE CS P Richtarik Konstantin Mishchenko

Konstantin Mishchenko

PhD Student, Computer Science
  • CS
  • CEMSE
  • OML
  • VCC
  • optimization
  • machine learning
  • algorithms
Former Members
KAUST CEMSE VCC Qilin Sun

Qilin Sun

PhD Student, Electrical and Computer Engineering
  • VCCIMAGING
  • CEMSE
  • ECE
  • VCC
  • Deep learning
  • Computational Photography
  • Time-of-flight and transient imaging
Former Members
KAUST-CEMSE-Yongliang-Yang

Yongliang Yang

Research Scientist, Computer Science
  • AMCS
  • CEMSE
  • VCC
  • computer graphics
  • computational design
  • optimization
Former Members
KAUST CEMSE EE PhD Dissertation Defense Adel Bibi Understanding a Block of Layers in Deep Neural Networks: Optimization, Probabilistic and Tropical Geometric Perspectives
Understanding a Block of Layers in Deep Neural Networks: Optimization, Probabilistic and Tropical Geometric Perspectives
Adel Bibi
Monday, March 30, 18:00
- 20:00
https://kaust.zoom.us/j/279877360
  • CEMSE
  • ECE
  • VCC
  • Computer Vision
  • machine learning
  • optimization
PhD Dissertation Defense
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
  • OML
  • VCC
  • machine learning
  • Langevin Monte Carlo
  • optimization
Graduate Seminar
Construction Aware-Design
Workshop on Construction-Aware Design
Helmut Pottmann
Monday, March 18, 09:00
- 05:00
Campus Library, Level 3, Room 3118, Seaside
  • CDF
  • CEMSE
  • VCC
  • optimization
  • geometric modeling
  • Rationalization
Workshop
Image
KAUST CEMSE CS AMCS STAT VCC ECRC P RICHTARIK Peter Richtarik
KAUST Professor Peter Richtárik wins Distinguished Speaker Award
2 years 8 months ago
  • CEMSE
  • AMCS
  • CS
  • OML
  • STAT
  • VCC
  • ECRC
  • optimization
  • machine learning
  • Big Data
Image
Accelerating-the-grapevine-effect-Richtarik-KAUST
Accelerating the grapevine effect
2 years 10 months ago
  • CS
  • VCC
  • AMCS
  • CEMSE
  • STAT
  • ECRC
  • OML
  • optimization
  • machine learning
  • Big Data
Image
KAUST CEMSE EE IVUL EECVC logo
Adel is invited to give a talk in EECVC on "Optimization meets Deep Learning"
3 years 3 months ago
  • CEMSE
  • VCC
  • ECE
  • CS
  • Deep learning
  • optimization
  • EECVC
Aerial Path Planning for Urban Scene Reconstruction: A Continuous Optimization Method and Benchmark
3 years 7 months ago
  • VCCIMAGING
  • VCC
  • CS
  • optimization
  • urban planning

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