Deep learning

Reem Alzahrani

Ph.D. Student

Deep learning nlp Computer Vision Large Language Models vision language models Multi-Modal Large Language Models

Reem Alzahrani is an MS/PhD student at KAUST, working on Large Language Models and Vision-Language Models. Her research focuses on identifying and addressing the limitations of AI systems to improve their robustness and reliability.

Najmeddine Dhieb

Najmeddine Dhieb

Research Engineer, Electrical and Computer Engineering

Deep learning Generative AI and LLMs artificial intelligence Computer Vision

Aznaur Aliev

M.S. Student

AI Deep learning Computer Vision Reinforcement Learning

KAUST Environmental Statistics group publishes book exploring multivariate statistical analysis

1 min read · Tue, Oct 20 2020

Deep learning statistics machine learning

The KAUST Environmental Statistic (ES) research group has recently published a book titled "Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches." The book is the outcome of the Core Research Grant (GRG) project led by KAUST Professor Ying Sun, Associate Professor of Statistics.

Dr. Harrou receives two IEEE ECBIOS 2021 best paper awards

2 min read · Tue, Aug 10 2021

renewable energy systems Deep learning

Dr. Fouzi Harrou, a research scientist in the KAUST Environmental Statistics (ES) group, recently received two IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability 2021 (IEEE ECBIOS 2021) best paper awards.

Meet KAUST new student: Qilong Pan

1 min read · Wed, Oct 13 2021

spatio-temporal statistics Deep learning

Qilong Pan is a statistics graduate who joined KAUST in June 2021 from the Wuhan University of Technology, China. Pan is a M.S./Ph.D. student and member of the Environmental Statistics research group under the supervision of Professor Ying Sun.

Deeper defense against cyber attacks

1 min read · Sun, Nov 28 2021

cybersecurity machine learning Deep learning statistics

To address the growing threat of cyberattacks on industrial control systems, a KAUST team including Fouzi Harrou, Wu Wang and led by Ying Sun has developed an improved method for detecting malicious intrusions.

Qilong Pan

Ph.D. Student, Statistics

statistics Deep learning spatio-temporal statistics

Qilong Pan's research focuses on developing scalable statistical methods, with a particular emphasis on Gaussian Processes and GPU acceleration.