60 Short courses in Computer Sciences in Saudi Arabia

The Dual-Polarized 60 GHz Phased Array for FWA or WiGig Applications (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on designing a dual-polarized phased-array antenna at 60 GHz with high cross-polarization (X-pol) isolation for Fixed Wireless Access (FWA) and WiGig applications.

The Towards a Principled Understanding of Deep Learning (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

The Channel-Adaptive Machine Learning-Based mmWave Beamforming (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on integrating machine learning algorithms into mmWave beamforming to dynamically adapt to changing channel conditions.

The goal of this Resilient Models for Attacks Detection in Cyber-Physical Systems (Internship) project from King Abdullah University of Science and Technology (KAUST) is developing methods to merge Machine Learning (ML) with physics-based models to create control algorithms can significantly enhance the resiliency of Cyber-Physical Systems (CPS).

The Wideband 7-24 GHz Tunable Front-End for 6G Applications (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on developing a tunable wideband RF front-end that can operate between 7 GHz and 24 GHz.

The main objective of this Reduced Order Modeling of Fluid Dynamics in Large Scale Urban Domains (Internship) project from King Abdullah University of Science and Technology (KAUST) is to investigate the feasibility of implementing a reduced-order model for weather simulations in urban areas. 

This Robust or Differentially Private Machine Learning (Internship) project from King Abdullah University of Science and Technology (KAUST) mainly focuses on how to design robust (especially robust against to outliers or heavy-tailed distributions) or private (or forgettable) algorithms for some fundamental problems in machine learning, deep learning or statistics.

The objective of this Planning and Operation of Energy Systems via Risk-aware Optimization (Internship) project from King Abdullah University of Science and Technology (KAUST) is to develop computational methodologies for risk-aware optimization and the implementation of these methodologies to optimize the operation of complex energy systems.

The Computer Graphics, Computer Vision, and Visualization (Internship) project from King Abdullah University of Science and Technology (KAUST) is in the area of graphics, vision, or visualization. The exact topic is determined in discussion with the student to obtain a good fit with the student’s interest and background.

The Deep Learning for Visual Computing (Computer Vision, Computer Graphics, Remote Sensing, Vision and Language) (Internship) project from King Abdullah University of Science and Technology (KAUST) covers many topics but exact topic depends on the student's interest, background, and current research topics in the group. 

The Uncovering and Addressing Bias in LLM Interactions (Internship) project from King Abdullah University of Science and Technology (KAUST) represents a concerted effort to delve deeply into the multifaceted landscape of biases inherent in interactions with LLM agents.

The Machine Learning for Biological and Medical Imaging (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

This Radio Signal Security and Resilience (Internship) project from King Abdullah University of Science and Technology (KAUST) leverages signal processing and AI/ML to advance radio signal Security and Resilience, mainly, detection, classification, identification, and Adaptive Response.

The goal of the Optimal Strategies for Resource-task Network Problems (Internship) project from King Abdullah University of Science and Technology (KAUST) is to transform a set of initial resources over time into more useful objects or resources, through the scheduling of tasks, which may involve resource extraction or manufacturing (often referred to as “crafting” in the game context.

The Dynamic Malware Analysis using LLMs (Internship) project from King Abdullah University of Science and Technology (KAUST) covers the increasing complexity of malware highlights the need for advanced analysis tools, both static and dynamic, for effective reverse engineering and behavioral analysis of a given sample. 

The Egocentric Video Understanding (Internship) project at King Abdullah University of Science and Technology (KAUST) refers to videos recorded from the first-person point of view, with the camera mounted on the head (e.g., GoPro) or smart glasses worn alongside the eyes (e.g., Google glasses), and they are what you actually see in your eyes.

 Could you imagine the amount of real-world applications that could be developed if we extended this human ability to modern-day AI systems (especially deep neural networks)? Learn more with the Next Generation Continual Learning (Internship) project at King Abdullah University of Science and Technology (KAUST).

This Fast and Energy-efficient Photonic Integrated Circuits Powered by On-chip Lasers for Artificial Intelligence Models (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to further develop a volume-manufacturable, fully integrated ONN system with high bandwidth and energy efficiency. 

The Federated Learning (Internship) project at King Abdullah University of Science and Technology (KAUST) enables mobile phones to collaboratively learnashared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud. 

The Pollux - Autoregressive Video Generation as a World Model (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to build a video generation model with three key advancements.