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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.