8 April، 2026

A training course entitled “Knowledge-Based Artificial Intelligence Systems for Achieving Food Security” was held for the Qualification, Employment and Follow-up Unit.

Under the patronage and supervision of the Dean of the College of Computer Science and Mathematics, Professor Dr. Duha Bashir Abdullah, the College of Computer Science and Mathematics, through its Qualification, Employment, and Follow-up Unit, held a course entitled: “Knowledge-Based Artificial Intelligence Systems for Achieving Food Security.” The course was presented by Dr. Lama Akram Abdullah on April 5, 2026.

This course aimed to explore the role of knowledge-based artificial intelligence systems in achieving sustainable food security through intelligent decision-making, knowledge representation, and data-driven agricultural improvement. The course focused on how AI technologies, such as expert systems, semantic knowledge bases, and rule-based inference, can support crop management, optimize resource utilization, and create resilient food supply chains. Furthermore, the course aligns with three key sustainability goals: Zero Hunger (SDG 2) through improved agricultural productivity and food availability; Responsible Consumption and Production (SDG 12) through reducing food waste and improving the use of natural resources; and Climate Action (SDG 13) through enabling climate-smart agriculture and adaptive farming strategies. Through these goals, the course aims to highlight how knowledge-based artificial intelligence can contribute to building sustainable, resilient, and efficient food systems capable of meeting future global food demand.

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