- Counselling Code :- ELRU
Empower the students of computer science & engineering Department to be technologically strong, innovative & global citizens maintaining human values.
DM1: Inspire students to become self motivated & problem solving individuals.
DM2: Furnish students for professional career with academic excellence and leadership skills.
DM3: Create centre of excellence in Computer Science & Engineering.
DM4: Empower the youth & rural communities with computer education.
AI-DS combines the strengths of artificial intelligence and data science to drive innovation, inform decision-making, and solve complex problems. Our expertise in machine learning, data analytics, and visualization helps organizations uncover hidden insights, optimize operations, and create new opportunities for grow.
“Transforming Data Into Intelligent Insights”.
It also emphasizes the ethical implications of AI and data science, ensuring that our students are equipped to develop solutions that are not only innovative but also responsible and sustainable. Through case studies, group projects, and industry collaborations, our students learn to navigate the complex social and ethical landscape of AI and data science, preparing them to be leaders in the field who can drive positive change.
Our college’s AI&DS curriculum intelligently influences the direction that data science and artificial intelligence will take in the future. By analyzing data, deriving insights, and creating intelligent systems, our students learn how to turn information into clever solutions.
Mr. Kasani Vaddi Kasulu has been working as an Associate Professor and Head of the department of C.S.E-(Artificial Intelligence And Data Science) at Eluru College of Engineering & Technology, Duggirala, Eluru, Andhra Pradesh, INDIA. He completed B.Tech (Information Technology), M.Tech (Computer Science Technology) & Ph.D. pursuing at Nagarjuna University, Guntur. He has got 12 years of technical teaching experience.
He published several technical papers in various journals & conferences and is very interested in research areas like Computer Networks, Cloud Computing, and Data Mining.
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