Resume
Academic Achievements
- Developed the cGANs project, a PyTorch implementation of GANs models for generating geological facies; maintains other open-source projects including but not limited to:
- - Real-ESRGAN-lp
- - SIIM-ISIC-Melanoma-2020
- - NonstationaryGANs
- - 3D-plot-in-python
- - Sparse-kernel-for-SVM
Research Experience
- Involved in research on Generative Adversarial Networks (GANs) for geological facies generation; participated in several image processing related projects such as Real-ESRGAN-lp aimed at eliminating tiling artifacts when super-resolving large inputs, and the SIIM-ISIC Melanoma 2020 Kaggle competition for melanoma classification.
Background
- Research Associate, Heriot-Watt University.
Miscellany
- Based in Edinburgh, United Kingdom.
- LinkedIn: https://www.linkedin.com/in/alhasan-abdellatif/