KAUST CEMSE EE EMANG Abderrazak Chahid

Abderrazak Chahid

PhD Student, Electrical and Computer Engineering
Ph.D. Students
Accelerating the grapevine effect
1 year 3 months ago
AdelBibi

Adel Bibi

PhD Student, Electrical and Computer Engineering
Alumni
Adel is invited to give a talk in EECVC on "Optimization meets Deep Learning"
1 year 9 months ago
KAUST-CEMSE-Adil-Salim

Adil Salim

Postdoctoral Research Fellow, Computer Science
Postdoctoral Fellows
Aerial Path Planning for Urban Scene Reconstruction: A Continuous Optimization Method and Benchmark
2 years ago
KAUST CEMSE ECRC HiCMA Ali Alnasser

Ali H. AlNasser

MS Student, Computer Science
Students
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Alibek Sailanbayev

PhD Student, Applied Mathematics and Computational Sciences
Students
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Alyazeed Basyoni

MS Student, Computer Science
Students
An Airline observatory created by Passengers for Passengers
3 months 3 weeks ago
KAUST-CEMSE-EE-ISL-Ayed-AlRashdi100CANON-img_9728.jpg

Ayed M. Alrashdi

MS Degree, Electrical and Computer Engineering
Students
Biao Zhang

Biao Zhang

PhD Student, Computer Science
Students
Dmitry Kovalev

Dmitry Kovalev

MS Student, Computer Science
Students
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
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Egor Shulgin

MS Student, Computer Science
Students
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El Houcine Bergou

Postdoctoral Research Fellow, InfoCloud Research Group
Postdoctoral Fellows
Elnur Gasanov

Elnur Gasanov

MS Student, Applied Mathematics and Computational Sciences
Students
KAUST CEMSE EE Eric Feron

Eric Feron

Professor, Electrical and Computer Engineering
Professors
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
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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
Graduate Seminar
KAUST CEMSE EE RISC Faran A. Qureshi

Faran Ahmed Qureshi

Postdoctoral Research Fellow, Electrical and Computer Engineering
Postdoctoral Fellows
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Filip Hanzely

PhD Student, Applied Mathematics and Computational Sciences
Students
KAUST-CEMSE-Ganesh-Sundaramoorthi

Ganesh Sundaramoorthi

Assistant Professor, Electrical and Computer Engineering
Alumni
KAUST CEMSE AMCS P Richtarik Grigory Malinovsky

Grigory Malinovsky

Masters Student, Applied Mathematics and Computational Sciences
Students
KAUST CEMSE CS Guangming Zang

Guangming Zang

Research Engineer, Computer Science
Research Scientists
KAUST CEMSE AMCS Igor Sokolov

Igor Sokolov

MS Student, Applied Mathematics and Computational Sciences
Students
KAUST CEMSE EE CTL Itsikiantsoa Randrianantenaina

Itsikiantsoa Randrianantenaina

PhD Degree, Electrical and Computer Engineering
Alumni
KAUST Professor Peter Richtárik wins Distinguished Speaker Award
1 year 1 month ago
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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
Workshop
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Konstantin Mishchenko

PhD Student, Computer Science
Students
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
Graduate Seminar
KAUST CEMSE VCC Laurent Condat

Laurent Condat

Research Scientist, Visual Computing Center
Research Scientists
Meet KAUST Prospective Student: Igor Sokolov
2 months 2 weeks ago
Meet KAUST student: Grigory Malinovsky
1 month 1 week ago
KAUST CEMSE VCC Mher Safaryan

Mher Safaryan

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences
Postdoctoral Fellows
KAUST CEMSE CS AMCS STAT ECRC VCC Peter Richtarik Photo

Peter Richtarik

Professor, Computer Science
Professors
Powering the bottom line
2 years 6 months ago
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Qilin Sun

PhD Student, Electrical and Computer Engineering
Students
KAUST CEMSE EE Primalight Qizhou Wang

Qizhou Wang

MS Student, Electrical and Computer Engineering
Students
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
Xin Gao
Thursday, April 16, 12:00
- 13:00
https://kaust.zoom.us/j/706745599
Graduate Seminar
KAUST-CEMSE-Ramzi-Idoughi

Ramzi Idoughi

Research Scientist, Computer Science
Research Scientists
Ricardo Manuel Pinto de Lima

Ricardo Manuel Pinto de Lima

Research Scientist, Omar Knio Research Group
Research Scientists
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Samuel Horváth

PhD Student, Statistics
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
PhD Dissertation Defense
KAUST CEMSE EE PhD Dissertation Defense Itsikiantsoa Randrianantenaina
Spectrum Management for Future Generations of Cellular Networks
Itsikiantsoa Randrianantenaina
Monday, July 08, 08:30
- 10:30
Building 1, Level 2, Room 2202
PhD Dissertation Defense
KAUST CEMSE AMCS O-Knio Sultan Albarakati

Sultan S. Albarakati

PhD Student, Applied Mathematics and Computational Sciences
Students
Tariq Alturkestani Profile picture

Tariq Alturkestani

PhD Student, Computer Science
Students
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 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
PhD Dissertation Defense
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
Graduate Seminar