Basma Aboushaer is a recent graduate of the Computer Systems Engineering program at 杏吧原创 University, where she completed a five-year degree including a co-op placement as an IT Systems Developer at the Bank of Canada. Her academic and applied research experience focuses on cybersecurity, intelligent embedded systems, and secure Internet of Things (IoT) architectures. For her Capstone project, she developed an Intrusion Detection System that combines Federated Learning and Explainable AI (XAI) to improve privacy, transparency, and reliability in detecting threats across distributed IoT e-Health networks. The system uses decentralized model training on edge devices and generates interpretable outputs with LIME, helping healthcare professionals understand and trust the automated decisions. Basma is skilled in Python, C++, Verilog, TensorFlow, PyTorch, and Raspberry Pi, with hands-on experience in system integration and data-driven development.<\/p>\n
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Basma is interested in exploring IoT security, privacy-preserving machine learning techniques like federated learning, real-time anomaly detection on edge devices, and developing reliable, transparent, and user-friendly systems for connected environments.<\/p>\n","protected":false},"template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_links_to":"","_links_to_target":""},"people-type":[36],"yoast_head":"\n