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AMCS

Applied Mathematics and Computational Sciences

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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 VCC Laurent Condat

Laurent Condat

Senior Research Scientist, Visual Computing Center
  • AMCS
  • CS
  • CEMSE
  • AI
  • OML
  • VCC
  • optimization
  • image processing
Research Scientists
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
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
Rafal-Szlendak-Ms-PhD-Student-VCC

Rafał Szlendak

MS/PhD Student, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • VCC
  • optimization
  • Federated learning
Students
KAUST CEMSE AMCS O-Knio Sultan Albarakati

Sultan S. Albarakati

PhD Student, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • O-Knio
  • optimization
Students
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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-Yongliang-Yang

Yongliang Yang

Research Scientist, Computer Science
  • AMCS
  • CEMSE
  • VCC
  • computer graphics
  • computational design
  • optimization
Former Members
KAUST CEMSE AMCS PhD Dissertation Defense Sultan S. Albarakati Trajectory Planning for Autonomous Underwater Vehicles A Stochastic Optimization Approach
Trajectory Planning for Autonomous Underwater Vehicles: A Stochastic Optimization Approach
Sultan S. Albarakati
Sunday, June 07, 16:00
- 18:00
https://kaust.zoom.us/j/99434336745
  • AMCS
  • CEMSE
  • O-Knio
  • optimization
PhD Dissertation Defense
KAUST CEMSE AMCS STAT Graduate Seminar Xin Gao Quantitative understanding of transcription factor
Quantitative understanding of transcription factor regulation at network- and molecular-levels through optimization and deep learning
Thursday, April 16, 12:00
- 13:00
https://kaust.zoom.us/j/706745599
  • AMCS
  • CBRC
  • CEMSE
  • STAT
  • transcription factor
  • optimization
  • Deep learning
Graduate Seminar
KAUST CEMSE AMCS Seminar Guido Montufar Dynamics and Convergence of Weight Normalization for Training Neural Networks
Dynamics and Convergence of Weight Normalization for Training Neural Networks
Guido Montufar, Assistant Professor, Departments of Mathematics and Statistics, University of California, Los Angeles (UCLA)
Wednesday, January 29, 13:00
- 14:30
Building 1, Level 3, Room 3119
  • AMCS
  • CEMSE
  • machine learning
  • neural network
  • optimization
Seminar
KAUST CEMSE CS Graduate Seminar Adil Salim Langevin Monte Carlo as an optimization algorithm
Langevin Monte Carlo as an optimization algorithm
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
KAUST CEMSE AMCS Graduate Seminar Joakim Beck
Estimating the expected information gain in Bayesian optimal experimental design
Thursday, May 02, 12:00
- 13:00
B9 L2 Hall 1
  • AMCS
  • CEMSE
  • STOCHNUM
  • optimization
  • DLMC
  • DLMCIS
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
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KAUST CEMSE AMCS P Richtarik Grigory Malinovsky Student Profile
Meet KAUST student: Grigory Malinovsky
2 years 6 months ago
  • CEMSE
  • AMCS
  • OML
  • machine learning
  • optimization
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KAUST CEMSE AMCS Igor Sokolov Student profile AMCS
Meet KAUST Prospective Student: Igor Sokolov
2 years 7 months ago
  • CEMSE
  • CS
  • OML
  • 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
3 years 6 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
3 years 8 months ago
  • CS
  • VCC
  • AMCS
  • CEMSE
  • STAT
  • ECRC
  • OML
  • optimization
  • machine learning
  • Big Data
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KAUST CEMSE ECRC powering the bottom line
Powering the bottom line
4 years 11 months ago
  • CEMSE
  • ECRC
  • SRI
  • STAT
  • AMCS
  • ErSE
  • MarS
  • energy
  • chemical science
  • optimization

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