KAUST CEMSE STAT CTL Amine Bejaoui

Amine Bejaoui

MS Student, Statistics
Students
KAUST CEMSE EE EMANG Abderrazak Chahid

Abderrazak Chahid

PhD Student, Electrical Engineering
Ph.D. Students
Abdulellah Abualshour

Abdulellah Abualshour

PhD Student, Computer Science
Students
KAUST CEMSE VCC Abdullah Hamdi

Abdullah Hamdi

PhD Student, Electrical Engineering
Students
Adel is invited to give a talk in EECVC on "Optimization meets Deep Learning"
1 year 5 months ago
KAUST CEMSE generic avatar

Ahmed Abdelreheem

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

Ali H. AlNasser

MS Student, Computer Science
Students
KAUST CEMSE EE IVUL Ali K. Thabet

Ali Thabet

Research Scientist, Visual Computing Center
Research Scientists
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Aritra Dutta

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences
Postdoctoral Fellows
Biao Zhang

Biao Zhang

PhD Student, Computer Science
Students
Chen Zhao

Chen Zhao

Postdoctoral Research Fellow, Visual Computing Center
Postdoctoral Fellows
KAUST CEMSE EE IVUL Cheng Zheng

Cheng Zheng

Software Engineer, Visual Computing Center
Research Staff
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Chi-Han Peng

Research Scientist, Computer Science
Former Members
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 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 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 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 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
minh's photo

Duc Minh Nguyen

MS Student, Computer, Electrical and Mathematical Sciences and Engineering
Students
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
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Elaf Jameel Islam

MS Degree, Computer Science
Alumni
Fabian and Victor participate in the annual MSR Summer School!
3 years 11 months ago
KAUST CEMSE CS Guangming Zang

Guangming Zang

PhD Student, Computer Science
Students
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Han Shao

PhD Student, Applied Mathematics and Computational Sciences
Students
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Ibraheem Alhashim

PhD Degree, Computer Science
Consultant
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
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Ivan Skorokhodov

PhD Student, Computer Science
Students
KAUST CEMSE EE IVUL Jean Lahoud

Jean Lahoud

PhD Student, Electrical Engineering
Students
Jesus Zarzar

Jesus Zarzar

PhD Student, Electrical Engineering
Students
KAUST-CEMSE-JiaHong-Huang

Jia-Hong Huang

MS Degree, Electrical Engineering
Alumni
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Jian Zhang

Postdoctoral Research Fellow, Visual Computing Center
Former Members
KAUST CEMSE CS SFB Juexiao Zhuo

Juexiao Zhou

MS Student, Computer Science
Students
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 ago
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 SFB Lizhong Ding

Lizhong Ding

Postdoctoral Research Fellow, Structural and Functional Bioinformatics Group
Former Members
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 SFB Maha Thafar

Maha Thafar

PhD Student, Computer Science
Students
KAUST-CEMSE-Matthias-Mueller

Matthias Mueller

PhD Degree, Electrical Engineering
Alumni
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Mengmeng Xu

PhD Student, Electrical Engineering
Students
KAUST-CEMSE-Noor-Bafageeh

Noor Bafageeh

MS Degree, Computer Science
Alumni
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Peihao Zhu

PhD Student, Computer Science
Students
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Qilin Sun

PhD Student, Electrical 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
Rameen Abdal

Rameen Abdal

MS Student, Computer Science
Students
KAUST CEMSE CS SFB Ramzan Umarov

Ramzan Umarov

PhD Student, Computer Science
Students
Somayah Albaradei wins at City of the Future competition
2 years 1 month ago
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
veera.sensors

Veerappan Mani

Research Scientist, Sensors Lab
Research Scientists
KAUST CEMSE VCC Yazeed Alharbi

Yazeed Alharbi

PhD Student, Computer Science
Students
Yu Li

Yu Li

PhD Student, Computer Science
Students