Artificial Intelligence Techniques Engineering Department

Vision:

To impart quality education and produce industry ready professionals and achieve excellence and leadership in the field of Artificial Intelligence Technologies by preparing specialized engineering professionals with advanced scientific and practical skills, capable of developing innovative solutions to global challenges, supporting sustainable digital transformation, and fostering innovation and scientific research to build a technologically advanced future that aligns with the Fourth Industrial Revolution.

Mission:

To prepare scientifically and practically qualified engineers with advanced knowledge and skills in the field of artificial intelligence and its technologies, capable of developing innovative solutions to address technical and societal challenges. The department is committed to supporting scientific research, fostering innovation, and enhancing collaboration with industrial and academic institutions to achieve digital transformation and build a sustainable future that keeps pace with global technological advancements.

Objectives:

The Artificial Intelligence Engineering Technology department aims to build a strong scientific foundation that qualifies students to contribute build the infrastructure of our country and keep up with the rapid advancements in AI and its technologies through exceptional technical and practical skills that foster sustainable innovation. The key objectives of this department are:

1. Developing Human Competencies:
   Preparing qualified and distinguished engineers capable of designing and developing AI-based solutions in various fields, such as healthcare, industry, agriculture, security, and others.
2. Mastering Modern Technologies:
   Training students to use and apply the latest AI technologies, such as Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Data Science, and Robotics.
3. Encouraging Innovation and Scientific Research:
   Supporting innovative scientific research that contributes to AI development and delivers effective solutions to real-world problems.
4. Linking Academic Knowledge with Practical Applications:
   Focusing on hands-on and applied training through projects and real-world programs that meet the needs of local and international markets.
5. Contributing to Digital Transformation:
   Providing government and private institutions with qualified technical personnel to support digital transformation processes and adopt AI technologies.
6. Meeting Market Needs:
   Keeping up with market requirements and demands by preparing graduates equipped with the necessary skills and knowledge to become leaders in AI fields.