- Understand core concepts of insect immunology, including immune pathways, immune priming, and host–pathogen interactions.
-
Interpret how artificial intelligence and machine learning are applied to analyze insect immune responses and biological datasets.
-
Apply AI-based approaches to predict pest resistance and immune suppression mechanisms.
-
Analyze real-world case studies involving biopesticides, RNAi, and immune-modulating agents.
-
Develop basic predictive models for pest management using immune and molecular data.
-
Gain insights into global, sustainable, and data-driven pest control strategies relevant to academia and industry.
Mentor Based
