Scientific Visualization
Hands-on training in ParaView, VisIt, Avizo, volume and flow visualization, 3D analysis, image segmentation, in-situ visualization, and HPC visualization.
TEACHING · TRAINING · NATIONAL CAPABILITY BUILDING
Training Talent. Building Capability. Enabling Research.
Advanced research infrastructure is only as powerful as the people who know how to use it.
Through the KAUST Visualization Core Lab (KVL), I lead and support hands-on training programs that develop practical capabilities in Scientific Visualization, Data Science, Big Data, Artificial Intelligence, HPC, GPU Computing, and Immersive Technologies. Our training serves the KAUST research community as well as researchers, students, and professionals across Saudi Arabia. The objective is larger than teaching individual tools: we develop the skills, knowledge, and confidence needed to use advanced technologies independently and contribute to a stronger national research and innovation ecosystem.
Some of the hands-on training series we presented in the last 3 years to KAUST and in-Kingdom participants include:
BUILDING CAPABILITY AT SCALE
Training People. Extending Capability.
50+Training CoursesIn last 5 years
3,000+Researchers & Trainees
50,000+Online Reach
6+Core Capability AreasSciVis · Data Science · Big Data · AI/ML · HPC/GPU · AR/VR
In-KingdomNational EngagementTraining beyond KAUST to the wider Saudi research community.
TRAINING
Hands-On. Research-Focused. Practical.
KVL training is designed around learning by doing. Participants work directly with tools, datasets, computational environments, and research workflows rather than simply attending lectures.
Understand → Practice → Apply → Extend
This approach helps researchers move from learning a technology to using it confidently in their own research.
The KVL archive demonstrates this progression through introductory, intermediate, advanced, and specialized workshops across scientific visualization, data science, AI, HPC, and immersive technologies.
WHAT WE BUILD CAPABILITY IN
Practical skills for Data-Intensive Research.
Data Science & Big Data
Practical skills in Python, data analysis, visualization, Git, Linux, Conda, containers, large-scale data workflows, and data science on HPC platforms.
AI & Machine Learning
Training in machine learning, deep learning, PyTorch, AI tools and techniques, distributed learning, and AI-assisted scientific analysis, including Arabic-language programs.
HPC, GPU & Immersive Computing
Building expertise in HPC workflows, GPU-accelerated computing, supercomputing, Virtual Reality, Augmented Reality, and immersive data visualization.
FROM TRAINING TO NATIONAL CAPABILITY
Building People, Not Just Technical Skills
Saudi Arabia is rapidly expanding its capabilities in AI, advanced computing, data science, and scientific research. Developing the infrastructure is essential—but building the human expertise to use that infrastructure effectively is equally important. KVL's training contributes to this human-capital development by giving researchers and technical professionals practical experience with advanced computational technologies.
Learn → Practice → Apply → Share → Build Capability
A participant does not simply leave with knowledge of a software package. The goal is to leave with the ability to apply new methods to real research problems, develop new workflows, and share that capability with others.
Train Talent → Empower Researchers → Strengthen Teams → Grow Communities
BEYOND KAUST
Taking Expertise Across the Kingdom
KVL's capability-building mission extends beyond the university. We provide training and knowledge-sharing opportunities for in-Kingdom researchers, students, and professionals, helping make advanced computing and visualization expertise more accessible across Saudi Arabia. We also contribute hands-on technical sessions to national research and technology events, including Saudi HPC and SDAIA ICAN. These engagements allow KVL to take practical expertise directly to the wider community and support the development of talent beyond our immediate research environment.
From University Capability to National Capability.
KNOWLEDGE THAT MULTIPLIES
Train Once. Reach Many.
Training should continue to create value after the workshop ends. KVL maintains a multi-year archive of training materials, presentations, tutorials, and recordings covering scientific visualization, data science, AI, HPC, AR/VR, and specialized scientific workflows. Many sessions are also shared through the KVL YouTube channel, allowing researchers to revisit training and enabling people who could not attend the live sessions to learn independently.
Learn → Record → Share → Reuse → Multiply Impact
DEVELOPING THE PEOPLE BEHIND THE TECHNOLOGY
The ultimate objective is Human Capability.
A researcher who learns to use AI, visualization, data science, or HPC independently can apply those skills to new research problems, introduce new workflows to their team, mentor students, and share knowledge with colleagues.
That is how individual training becomes institutional capability—and institutional capability contributes to a stronger national research ecosystem.
Training Talent → Building Capability → Enabling Discovery
The most valuable outcome of a training program is not the workshop itself. It is what trained people go on to build, discover, and enable.
KNOWLEDGE TRANSFER
Build Capability. Share Expertise. Enable Discovery.
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