Articles & Projects

• Evolutionary Computation: A Primer
• Intro to Evolutionary Computation Using DEAP
• Game of Life 3D using CUDA and Cython

Papers

• Mohammed Amer, Mohamed A Suliman, Tu Bui, Nuria Garcia, and Serban Georgescu. 2025. Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping. arXiv preprint arXiv:2509.03408 (2025).

• Tu Bui, Mohamed Suliman, Aparajita Haldar, Mohammed Amer, and Serban Georgescu. 2025. X2Graph for Cancer Subtyping Prediction on Biological Tabular Data. arXiv preprint arXiv:2505.23334 (2025).

• Mohammed Amer and Tomas Maul. 2019. Path Capsule Networks. https://arxiv.org/abs/1902.03760 (2019).

• Mohammed Amer and Tomás Maul. 2019. A review of modularization techniques in artificial neural networks. Artificial Intelligence Review 52, 1 (2019), 527–561.

• Weng San Wong, Mohammed Amer, Tomas Maul, Iman Yi Liao, and Amr Ahmed. 2019. Conditional generative adversarial networks for data augmentation in breast cancer classification. In International Conference on Soft Computing and Data Mining, Springer International Publishing Cham, 392–402.

• Ka Shing Lee, Hui Ling Chen, Yong Sin Ng, Tomas Maul, Chris Gibbins, Kang-Nee Ting, Mohammed Amer, and Mateus Camara. 2022. U-Net skip-connection architectures for the automated counting of microplastics. Neural Computing and Applications 34, 9 (2022), 7283–7297.

• Mohammed Amer and Tomás Maul. 2019. Weight map layer for noise and adversarial attack robustness. arXiv preprint arXiv:1905.00568 (2019).

• Mohammed Amer and Tomás Maul. 2019. Reducing catastrophic forgetting in modular neural networks by dynamic information balancing. arXiv preprint arXiv:1912.04508 (2019).

• Mohammed Amer, Tomás Maul, and Iman Yi Liao. 2021. Balancing Accuracy and Latency in Multipath Neural Networks. arXiv preprint arXiv:2104.12040 (2021).