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Peter Wonka

Professor, Computer Science
Professors
KAUST CEMSE EE IVUL Ali K. Thabet

Ali Thabet

Research Scientist, Visual Computing Center
Research Scientists
KAUST CEMSE CS Guangming Zang

Guangming Zang

Research Engineer, Computer Science
Research Scientists
veera.sensors

Veerappan Mani

Research Scientist, Sensors Lab
Research Scientists
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Aritra Dutta

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences
Postdoctoral Fellows
Chen Zhao

Chen Zhao

Postdoctoral Research Fellow, Visual Computing Center
Postdoctoral Fellows
Abdulellah Abualshour

Abdulellah Abualshour

PhD Student, Computer Science
Students
KAUST CEMSE VCC Abdullah Hamdi

Abdullah Hamdi

PhD Student, Electrical and Computer Engineering
Students
KAUST CEMSE VCC Ahmed S. Abdelreheem

Ahmed S. Abdelreheem

PhD Student, Computer Science
Students
KAUST CEMSE ECRC HiCMA Ali Alnasser

Ali H. AlNasser

MS Student, Computer Science
Students
Biao Zhang

Biao Zhang

PhD Student, Computer Science
Students
KAUST CEMSE STAT STOCHPROC Damilya Saduakhas

Damilya Saduakhas

MS Student, Statistics
Students
minh's photo

Duc Minh Nguyen

PhD Student, Electrical and Computer Engineering
Students
Fares Fourati

Fares Fourati

MS Student, Electrical and Computer Engineering
Students
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Han Shao

PhD Student, Applied Mathematics and Computational Sciences
Students
Hasan

Hasan Abed Al Kader Hammoud

Masters Student, Electrical and Computer Engineering
Students
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Ivan Skorokhodov

PhD Student, Computer Science
Students
Jesus Zarzar

Jesus Zarzar

PhD Student, Electrical and Computer Engineering
Students
KAUST CEMSE CS SFB Juexiao Zhuo

Juexiao Zhou

MS Student, Computer Science
Students
KAUST CEMSE CS VISION CAIR Kilichbek Haydarov

Kilichbek Haydarov

MS/PhD, Computer Science
Students
KAUST CEMSE CS SFB Maha Thafar

Maha Thafar

PhD Student, Computer Science
Students
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Peihao Zhu

PhD Student, Computer Science
Students
KAUST CEMSE VCC Qilin Sun

Qilin Sun

PhD Student, Electrical and Computer Engineering
Students
Rameen Abdal

Rameen Abdal

MS Student, Computer Science
Students
KAUST CEMSE VCC Shariq Farooq Bhat

Shariq Farooq Bhat

Masters Student, Computer Science
Students
Xingdi Zhang

Xingdi Zhang

MS/PhD, Computer Science
Students
KAUST CEMSE VCC Yazeed Alharbi

Yazeed Alharbi

PhD Student, Computer Science
Students
KAUST CEMSE STAT CTL Amine Bejaoui

Amine Bejaoui

MS Degree, Statistics
Alumni
KAUST CEMSE EE EMANG Abderrazak Chahid

Abderrazak Chahid

PhD Student, Electrical and Computer Engineering
Alumni
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Elaf Jameel Islam

MS Degree, Computer Science
Alumni
KAUST CEMSE EE IVUL Jean Lahoud

Jean Lahoud

PhD Degree, Electrical and Computer Engineering
Alumni
KAUST-CEMSE-JiaHong-Huang

Jia-Hong Huang

MS Degree, Electrical and Computer Engineering
Alumni
KAUST-CEMSE-Matthias-Mueller

Matthias Mueller

PhD Degree, Electrical and Computer Engineering
Alumni
KAUST-CEMSE-Noor-Bafageeh

Noor Bafageeh

MS Degree, Computer Science
Alumni
KAUST CEMSE CS SFB Ramzan Umarov

Ramzan Umarov

PhD Student, Computer Science
Alumni
KAUST CEMSE CS SFB Yu Li

Yu Li

PhD Student, Computer Science
Alumni
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Chi-Han Peng

Research Scientist, Computer Science
Former Members
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Jian Zhang

Postdoctoral Research Fellow, Visual Computing Center
Former Members
KAUST CEMSE CS SFB Lizhong Ding

Lizhong Ding

Postdoctoral Research Fellow, Structural and Functional Bioinformatics Group
Former Members
KAUST CEMSE EE IVUL Cheng Zheng

Cheng Zheng

Software Engineer, Visual Computing Center
Research Staff
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Ibraheem Alhashim

PhD Degree, Computer Science
Consultant
KAUST CEMSE AMCS Seminar Arnulf Jentzen Overcoming the curse of dimensionality: from nonlinear Monte Carlo to deep learning
Overcoming the curse of dimensionality: from nonlinear Monte Carlo to deep learning
Arnulf Jentzen, Professor, Applied Mathematics Münster: Institute for Analysis and Numerics, University of Münster
Sunday, January 10, 14:00
- 15:00
https://kaust.zoom.us/j/98762931020
Seminar
KAUST CEMSE CS Graduate Seminar Panos Kalnis Compressed communication in Distributed Deep Learning A Systems perspective
Compressed communication in Distributed Deep Learning - A Systems perspective
Panagiotis Kalnis
Monday, October 26, 12:00
- 13:00
https://kaust.zoom.us/j/97404027567
Graduate Seminar
KAUST CEMSE EE PhD Dissertation Defense Jean Lahoud Indoor 3D Scene Understanding-Using-Depth-Sensors.jpg
Indoor 3D Scene Understanding Using Depth Sensors
Jean Lahoud
Thursday, May 28, 16:00
- 18:00
https://kaust.zoom.us/j/99582916945
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
Xin Gao
Thursday, April 16, 12:00
- 13:00
https://kaust.zoom.us/j/706745599
Graduate Seminar
KAUST CEMSE CS Graduate Seminar Mohamed Elhoseiny Deep Continual Learning
Deep Continual Learning
Mohamed Elhoseiny
Monday, April 06, 12:00
- 13:00
https://kaust.zoom.us/j/293175422
Graduate Seminar
KAUST CEMSE EE CS Graduate Seminar Bernard Ghanem Deep Graph Convolutional Networks
EE+CS Graduate Seminar: Deep Graph Convolutional Networks
Bernard Ghanem
Sunday, March 29, 12:00
- 13:00
https://kaust.zoom.us/j/891114016
Graduate Seminar
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 CS PhD Dissertation Defense Basmah Altaf Machine Learning Models
Machine Learning Models for Context Aware Recommendation Systems
Basmah Altaf
Monday, November 04, 10:00
- 11:00
Building 3, Level 5 , Room 5209
PhD Dissertation Defense
KAUST CEMSE CS Graduate Seminar Timo Ropinski Learning for Visual Data Synthesis and Analysis
Learning for Visual Data Synthesis and Analysis
Dr. Timo Ropinski, Professor, Visual Computing, Ulm University, Germany
Monday, October 07, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Graduate Seminar
KAUST CEMSE CS Course Day 2 Prof. Xavier Bresson
Day 2 - Deep learning and the latest algorithms in artificial intelligence
Prof. Xavier Bresson, Data Science and AI Research Centre at Nanyang Technological University (NTU) Singapore
Thursday, April 25, 09:00
- 17:00
Auditorium 0215 (between Bldg. 4 and 5)
Course
KAUST CEMSE CS Course Day 1 Prof Xavier Bresson
Day 1 - Deep learning and the latest algorithms in artificial intelligence
Prof. Xavier Bresson, Data Science and AI Research Centre at Nanyang Technological University (NTU) Singapore
Wednesday, April 24, 09:00
- 17:00
Auditorium 0215 (between Bldg. 4 and 5)
Course
KAUST CEMSE CS Seminar Prof Xavier Bresson
Convolutional Neural Networks on Graphs
Prof. Xavier Bresson, NTU, Singapore
Tuesday, April 23, 12:00
- 13:00
B9, Hall 2
Seminar
KAUST CEMSE CS Sensors PhD Defense Manal Kalkatawi
Contributions to In Silico Genome Annotation
Manal Kalkatawi
Thursday, November 09, 10:00
- 13:00
Building 3, Level 5, Room 5209
PhD Dissertation Defense
KAUST Environmental Statistics group publishes book exploring multivariate statistical analysis
5 months 3 weeks ago
Meet KAUST prospective student: Sahar Ammar
7 months ago
KAUST Prospective Student: Damilya Saduakhas
8 months 4 weeks ago
KAUST Researchers Are the First to Generate Images of Realistic and Highly Detailed Texture Maps of Gigapixel in Size Using Deep Neural Networks
1 year 9 months ago
Adel is invited to give a talk in EECVC on "Optimization meets Deep Learning"
2 years 2 months ago
Somayah Albaradei wins at City of the Future competition
2 years 10 months ago
Fabian and Victor participate in the annual MSR Summer School!
4 years 9 months ago