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CEMSE

Computer, Electrical and Mathematical Sciences and Engineering

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KAUST CEMSE VCC Vision-Cair ANKIT KUMAR SHAW

ANKIT KUMAR SHAW

Visiting Student, Computer Vision, Core AI Research Group
  • CS
  • Vision-CAIR
  • CEMSE
  • VCC
  • AI
  • Deep learning
  • Reinforcement Learning
Students
KAUST CEMSE CS Vision CAIR Deyao Zhu

Deyao Zhu

PhD Student, Computer Science
  • CS
  • Vision-CAIR
  • CEMSE
  • VCC
  • Continual Learning
  • Reinforcement Learning
  • Meta Learning
Students
KAUST-CEMSE-ECE-CTL-Fares-Fourati-DSC_1386_1.4.1-edited-4k.jpg

Fares Fourati

PhD Student, Electrical and Computer Engineering
  • CTL
  • CEMSE
  • ECE
  • machine learning
  • Deep learning
  • Reinforcement Learning
Students
KAUST CEMSE CBRC BORG  CS Nurul Muttakin master student .JPG

MD Nurul Muttakin

MS/PhD Student, Computer Science
  • BORG
  • CBRC
  • CS
  • CEMSE
  • artificial intelligence
  • bioinformatics
  • Reinforcement Learning
Students
Mohammad Aljohany

Mohammad Aljohany

PhD Student, Electrical and Computer Engineering
  • CEMSE
  • ECE
  • RISClab
  • Control Theory
  • intelligent systems
  • automation
Students
Aniq Ur Rahman CTL KAUST

Aniq Ur Rahman

MS Degree, Electrical and Computer Engineering
  • CTL
  • ECE
  • Stochastic Geometry
  • Reinforcement Learning
  • wireless network
Alumni
KAUST CEMSE STAT AL-kindi Seminar Susan Murphy Inference for Longitudinal Data
Inference for Longitudinal Data After Adaptive Sampling
Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
Thursday, October 20, 15:00
- 16:00
Building 9, Level 2, Room 2325
  • AMCS
  • CS
  • CEMSE
  • STAT
  • Reinforcement Learning
Seminar
KAUST CEMSE STAT AL-Kindi Seminar Susan Murphy used Reinforcement
We used Reinforcement Learning; but did it work?
Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
Wednesday, October 19, 16:00
- 17:00
Building 9, Level 2, Room 2325
  • AMCS
  • CS
  • CEMSE
  • STAT
  • Reinforcement Learning
  • Digital Behavioral Health
Seminar

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