machine learning | AMCS | Applied Mathematics and Computational Sciences

Dominik L. Michels

Associate Professor, Computer Science

Professors

Mikhail Moshkov

Professor, Applied Mathematics and Computational Sciences

Professors

Peter Richtarik

Professor, Computer Science

Professors

Raphaël Huser

Associate Professor, Statistics

Professors

Juncai He

Research Scientist, Applied Mathematics and Computational Sciences

Research Scientists

Sameh Abdulah

Research Scientist, Extreme Computing Research Center

Research Scientists

KAUST CEMSE AMCS STOCHNUM Aku Jaakko Kammonen DSC_3580 edited 4k

Aku Jaakko Alexis Kammonen

Postdoctoral Fellows, Stochastic Numerics Research Group

Postdoctoral Fellows

Aritra Dutta

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Postdoctoral Fellows

Mher Safaryan

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Postdoctoral Fellows

Xun Qian

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Postdoctoral Fellows

Igor Chikalov

Senior Research Scientist, Computer Science

machine learning

Former Members

Waqas Waseem Ahmed

Postdoctoral Fellow, Applied Mathematics and Computational Sciences

Former Members

Boris Jankovic

Senior Computational Scientist, Knowledge Mining Lab

Computational Specialists

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024

Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)

Sunday, May 19, 08:00

- 17:00

KAUST, Auditorium 0215

Workshop

Adaptive Optimization Algorithms for Machine Learning

Slavomir Hanzely

Tuesday, November 07, 10:00

- 11:00

Building 1, Level 4, Room 4214

PhD Dissertation Defense

Universal light encoders: artificial intelligent optical hardware for real-time hyperspectral imaging and ultrasensitive detection

Andrea Fratalocchi

Sunday, September 17, 12:00

- 13:00

Building 9, Level 2, Room 2325

Graduate Seminar

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2023

Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)

Sunday, May 21, 08:00

- 17:00

KAUST, Building 9

Workshop

A new class of random field models for data on networks

David Bolin

Monday, October 03, 12:00

- 13:00

Building 9, Level 2, Room 2322, Hall 1

Graduate Seminar

On the resolution of a theoretical question related to the nature of local training in federated learning

Peter Richtarik

Tuesday, September 13, 15:30

- 17:00

Building 1, Level 3, Room 3119

Mathematics and Applications Colloquium

On Recently Developed Non-Gaussian Priors and Sampling Methods with Application to Industrial Tomography

Prof. Lassi Roininen, Applied Mathematics, LUT University

Tuesday, November 09, 15:00

- 16:00

Building 1, Level 4, Room 4214, https://kaust.zoom.us/j/98256586177

Seminar

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

Langevin Monte Carlo as an optimization algorithm

Monday, November 11, 12:00

- 13:00

Building 9, Level 2, Hall 1, Room 2322

Graduate Seminar

Reproducibility in Computer Science - Part 3

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

Wednesday, November 06, 16:00

- 17:00

Building 9, Level 3, Room 3223

Workshop

Reproducibility in Computer Science - Part 2

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

Tuesday, November 05, 16:00

- 17:00

Building 9, Level 3, Room 3223

Workshop

Reproducibility in Computer Science - Part 1

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

Monday, November 04, 16:00

- 17:00

Building 9, Level 3, Room 3223

Workshop

Extreme analysis of seizures

1 year 5 months ago

Can machine learning help predict disease spread?

1 year 7 months ago

Dominik L. Michels appointed Associate Professor of Computer Science and Applied Mathematics

1 year 9 months ago

Deeper defense against cyber attacks

2 years ago

Deep learning in the emergency department

3 years ago

Meet KAUST student: Grigory Malinovsky

3 years 2 months ago

Meet KAUST Prospective Student: Igor Sokolov

3 years 3 months ago

Machine learning models gather momentum

4 years ago

KAUST CEMSE AMCS CS STAT VCC ECRC P RICHTARIK Less Chat Leads To More Work Machine Learning

Less chat leads to more work for machine learning

4 years 1 month ago

KAUST CEMSE CS AMCS STAT VCC ECRC P RICHTARIK Peter Richtarik

KAUST Professor Peter Richtárik wins Distinguished Speaker Award

4 years 2 months ago

Database to support infectious disease research

4 years 2 months ago

Accelerating the grapevine effect

4 years 4 months ago

KAUST AMCS CBRC KML Knowledge Mining Lab Group

Knowledge Mining Lab website is now online

5 years 1 month ago

KAUST CEMSE CS AMCS TREES Extensions Of Dynamic Programming For Combinatorial Optimization And Data Mining

New Book "Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining" of Professor Moshkov and His Former Students is Published by Springer

5 years 4 months ago

KAUST CEMSE AMCS CS CSG VCC Dominik Michels

Dominik L. Michels receives the first Procter & Gamble Faculty Award

5 years 11 months ago

CEMSE Big Data Open Day shows off fascinating discoveries

6 years 11 months ago

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Applied Mathematics and Computational Sciences Program