machine learning

Innovative research earns Islam Ashry election as Fellow of the Institute of Physics

3 min read ·
Dr. Islam Ashry has been elected Fellow of the Institute of Physics in recognition of his impactful photonics-based research.

Zakaria El Kassimi

KAUST offers a unique environment where applied mathematics and data science meet real-world impact, with exceptional resources and a supportive community for ambitious research.

Jonathan Klein

Research Scientist, Computer Science
My fields of research interests include computational simulation, plant simulation and modeling, synthetic training data, machine learning architectures, none-line-of-sight imaging, and computational photography.

Yibin Wang

Keep Moving forward

Andrea Vanessa Rocha

Research Specialist, Statistics
Chengjie zhao

Chengjie Zhao

Visiting Researcher, Information Science Lab
Visiting Student, King Abdullah University of Science and Technology

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Hayssam Dahrouj

Senior Research Scientist at KAUST (King Abdullah University of Science and Technology)

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Muhammad Esmat

Visiting student at, King Abdullah University of Science and Technology (KAUST).

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

Intern (former), Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

Abdulkarem Badiea Alshaibani

Visiting Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).

Talha Ariff

Talha is studying the use of novel fiber-optic distributed acoustic sensing (DAS) and distributed temperature sensing (DTS) as a tool to help monitor and control anthropogenic acoustic pollution in marine environments.

Islam Ashry

Senior Research Scientist, Electrical and Computer Engineering
Senior Research Scientist with over 10 years of experience in optics, specializing in developing optical sensors as real-world solutions for underwater exploration, smart agriculture, and the oil and gas industry. Senior Member of the National Academy of Inventors (NAI), IEEE, and IEEE Photonics Society.

Fangchen Hu

Visiting Student, Photonics Laboratory
Fangchen Hu was a Visiting student at Photonics Laboratory in the Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) at King Abdullah University of Science & Technology (KAUST). He is a Ph.D. student at Fudan University. Research Interests Fangchen's research interests included ​Advanced modulation Format, Optical communication, and Machine learning. Selected Publications ​Hu, Fangchen, et al. "Optimized Geometrically Shaped 16QAM in Underwater Visible Light Communication." 2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 2018. Education Profile ​Sep 2018~Now: MS