College of Agricultural Engineering & Technology / Electrical Engineering & Information Technology / Thrust Areas
Thrust Areas
- To enable students to design and implement AI-driven solutions such as expert systems and autonomous agents, preparing them for roles in intelligent automation and smart technologies.
- To equip students with the ability to analyze large-scale data using machine learning and predictive analytics, fostering readiness for careers in data-centric industries.
- To train students in the integration of hardware and intelligent software through IoT and cyber-physical systems, aligning their skills with the needs of Industry 4.0 and smart infrastructure.
- To prepare students to develop secure, privacy-compliant, and ethically responsible AI systems, ensuring trust and safety in digital environments.
- To encourage students to create user-centric and accessible computing solutions, promoting inclusive design and effective human-computer interaction.