KAUST CEMSE CS AMCS STAT ECRC VCC Peter Richtarik Photo

Peter Richtarik

Professor, Computer Science
Professors
KAUST CEMSE VCC Laurent Condat

Laurent Condat

Senior Research Scientist, Visual Computing Center
Research Scientists
KAUST CEMSE VCC Mher Safaryan

Mher Safaryan

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences
Postdoctoral Fellows
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Alibek Sailanbayev

PhD Student, Applied Mathematics and Computational Sciences
Students
Elnur Gasanov

Elnur Gasanov

MS Student, Applied Mathematics and Computational Sciences
Students
KAUST CEMSE AMCS P Richtarik Grigory Malinovsky

Grigory Malinovsky

MS Student, Applied Mathematics and Computational Sciences
Students
KAUST CEMSE VCC Lgor Sokolov

Igor Sokolov

MS Student, Applied Mathematics and Computational Sciences
Students
Rafal-Szlendak-Ms-PhD-Student-VCC

Rafał Szlendak

MS/PhD Student, Applied Mathematics and Computational Sciences
Students
KAUST CEMSE AMCS O-Knio Sultan Albarakati

Sultan S. Albarakati

PhD Student, Applied Mathematics and Computational Sciences
Students
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Filip Hanzely

PhD Degree, Applied Mathematics and Computational Sciences
Former Members
KAUST-CEMSE-Ganesh-Sundaramoorthi

Ganesh Sundaramoorthi

Assistant Professor, Electrical and Computer Engineering
Former Members
KAUST-CEMSE-Yongliang-Yang

Yongliang Yang

Research Scientist, Computer Science
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
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
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
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
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
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
Workshop
Meet KAUST student: Grigory Malinovsky
2 years 6 months ago
Meet KAUST Prospective Student: Igor Sokolov
2 years 7 months ago
KAUST Professor Peter Richtárik wins Distinguished Speaker Award
3 years 6 months ago
Accelerating the grapevine effect
3 years 8 months ago
Powering the bottom line
4 years 11 months ago