GaN

Advanced Breach and Attack Simulation using ML

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Sat, Jul 6 2024

cybersecurity machine learning deep learning penetration testing threat modeling Generative Adversarial Networks GaN

Cybersecurity is becoming a need more than ever. Organizations need to protect their digital assets and are required to earn certifications to prove the compliance to the regulations and rules. For this, these assets must be assessed to ensure the target security posture and to get certified or pass an audit on yearly basis. This is a daunting and costly task as it often requires a third-party tester that tries to penetrate the system, under agreement. Breach and Attack Simulation is a new method that allows to do this penetration testing in-house, using some automation tools. Some of these

Extracting Semantic and Geometric Information in Images and Videos using GANs

Rameen Abdal, Ph.D. Student, Computer Science

Feb 15, 18:00 - 20:00

B1 L2 R2202

The success of Generative Adversarial Networks (GANs) has resulted in unprecedented quality both for image generation and manipulation. Recent state-of-the-art GANs (e.g., the StyleGAN series) have demonstrated outstanding results in photo-realistic image generation. In this dissertation, we explore the latent space properties, including image manipulation, extraction of 3D properties, and performing various weakly supervised and unsupervised downstream tasks using StyleGAN and its derivative architectures.

Jorge Holguín-Lerma receives 2020 IEEE Photonics Society Graduate Student Scholarship

1 min read · Sun, Jul 12 2020

Laser Diodes GaN

KAUST Ph.D. student Jorge Holguín-Lerma has recently been named a recipient of the 2020 IEEE Photonics Society Graduate Student Scholarship. Holguín-Lerma was one of only ten students worldwide to receive the Society’s most competitive scholarship for graduate students in photonics. The award acknowledges both his work at KAUST and the potential impact of his future research.

Mohamed Ebaid

Postdoctoral Research Fellow, Photonics Laboratory

nanomaterials GaN photonics optoelectronics

Currently works at Lawrence Berkeley National Lab, California, USA

Jung-Wook Min

Research Scientist, Photonics Laboratory

nanomaterials GaN Photonics and optoelectronics molecular beam epitaxy Large bandgap group-III nitride

Introduction Jung-Wook Min is a Research Scientist at Photonics Laboratory in the Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE) at King Abdullah University of Science and Technology (KAUST). He received his M.S. and a Ph.D. degree in the Department of Physics and Photon Science at Gwangju Institute of Science and Technology (GIST), Republic of Korea, in 2012 and 2016. He has 10 years of hands-on experiences of refurbishment, modification and maintenance of various type of III-N and III-As/P MBE chambers and has been focused on the epitaxial growth of III