Mohammed Elmorsy

Dr. Elmorsy’s research focuses on making networks and connected devices more reliable, adaptive and impactful. His work centres on wireless sensor networks and the internet of things (IoT) with applications in areas such as smart agriculture, environmental monitoring and health care. He applies artificial intelligence (AI) and machine learning—including deep learning, reinforcement learning and large language models (LLMs)—to improve decision-making, automate resource management and enhance the quality of information produced by sensor and IoT systems. In teaching and supervision, Dr. Elmorsy emphasizes hands-on learning that connects theory with practice. He encourages students to explore how advanced computing and AI can be applied to solve real-world challenges and drive positive change. | Wireless sensor networks, internet of things (IoT), artificial intelligence, machine learning, deep learning, reinforcement learning, large language models (LLMs), networked systems, reliability assessment, intelligent resource management

Mohammed Elmorsy is Associate Professor at MacEwan University. Their stated interests include Dr. Elmorsy’s research focuses on making networks and connected devices more reliable, adaptive and impactful. His work centres on wireless sensor networks and the internet of things (IoT) with applications in areas such as smart agriculture, environmental monitoring and health care. He applies artificial intelligence (AI) and machine learning—including deep learning, reinforcement learning and large language models (LLMs)—to improve decision-making, automate resource management and enhance the quality of information produced by sensor and IoT systems. In teaching and supervision, Dr. Elmorsy emphasizes hands-on learning that connects theory with practice. He encourages students to explore h. This summary considered all 2 collected sources.