Data Science, Machine Learning & Scientific Computing
Explore my work in research, visualization, and AI applications
Organization: KAUST Visualization Lab | Period: 2025 - 2026
Led a team of KAUST staff to develop an advanced deep learning system for micro-fossil classification from 2D Micro-CT slices. Managed data provenance and coordinated analysis workflows to achieve high-accuracy species identification.
Impact: Enabled automated foraminifera species classification with unprecedented accuracy
Organization: KAUST Visualization Lab | Period: 2023 - 2025
Developed an AI-powered coral health assessment application using Meta's Segment Anything Model (SAM) to analyze underwater coral photographs. Created containerized solutions and built a user-friendly application for marine scientists to assess coral health indicators.
Impact: Published tool (Coral-CAT) enabling semi-automatic coral color analysis for researchers
Organization: KAUST Visualization Lab | Period: 2023 - 2025
Led engineering team to refactor and optimize SlideGAN code for 3D seismic microstructure generation. Conducted comprehensive strong scalability testing across multiple GPU configurations to maximize performance.
Impact: Achieved significant performance improvements enabling faster seismic data generation
Organization: KAUST AI Initiative | Period: 2019 - 2023 | Funding: USD $112,000
Secured major funding from KAUST AI Initiative to develop innovative AI strategies for protein-protein interaction prediction at the structural level. Implemented weakly supervised data augmentation and created three enhanced machine learning classifiers. Produced three peer-reviewed publications.
Impact: Advanced protein interaction prediction accuracy, resulting in 3 scientific publications
Organization: KAUST RCCL | Period: 2022 - 2023
Developed comprehensive benchmark suite for Shaheen III supercomputer performance evaluation. Created Python-based HPC applications to identify performance bottlenecks and optimize system efficiency for production workloads.
Impact: Validated performance capabilities of Shaheen III before production deployment
If you have an interesting project or research idea you'd like to discuss, I'd love to hear about it. Let's create something impactful together!
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