About Department
The Department of Artificial Intelligence and Data Science is a dynamic hub at the forefront of technological innovation. In this interdisciplinary field, students and professionals gain expertise in harnessing data-driven insights and machine learning algorithms. The department fosters a deep understanding of AI‚ applications, ranging from predictive analytics to natural language processing. Graduates emerge with a competitive edge in diverse industries, unlocking opportunities in data science, machine learning engineering, and AI research.
Vision & Mission
Vision
To become a center of excellence in Artificial Intelligence & Data Science by providing high-quality technical education with the necessary skills and values to meet the demands of the industry and society.
Mission
- To create a close-to-perfect place for the learning process by adopting efficient teaching methodologies and strategies in Artificial Intelligence & Data Science.
- To develop a platform for research by supporting innovative ideas for Research and Development based on the needs of the Industry and Society.
- To provide career development and higher studies assistance to the student community.
- To inculcate the demanded skills for modern technologies with ethical and human values.
Head of Department Message
Artificial Intelligence is transforming how we interact with technology. Our department is dedicated to equipping students with the tools to lead this revolution.
We provide a rigorous and collaborative environment that encourages innovation and technical leadership in the field of intelligent data processing.
Laboratories
The Department of Artificial Intelligence and Data Science features cutting-edge laboratories designed to provide students with hands-on experience in intelligent systems and data analytics.
- Data Structures Design Laboratory: Practical implementation of advanced data organization using Python 3.11.
- Database Design and Management Laboratory: Focuses on relational database systems and advanced SQL using SQL Server.
- Artificial Intelligence Laboratory: Exploring heuristic search, knowledge representation, and expert systems using Anaconda Spyder.
- Data Science and Analytics Laboratory: Data preprocessing, analysis, and visualization using Jupyter Notebooks.
- Machine Learning Laboratory: Implementation of supervised and unsupervised learning algorithms.
- Deep Learning Laboratory: Designing neural networks and complex models for pattern recognition and computer vision.
Faculty Members
| S.No | Name | Designation | Qualification |
|---|---|---|---|
| 1 | Mr. NATARAJAN M | ASSISTANT PROFESSOR | M.E |
| 2 | Ms. BHAVANI M | ASSISTANT PROFESSOR | M.E |
| 3 | Mr. KARKKI D S | ASSISTANT PROFESSOR | M.E |
| 4 | Mr. AVIN KUMAR A | ASSISTANT PROFESSOR | M.E |
| 5 | Mr. PRADEEP A | TECHNICAL ASSOCIATES/PROGRAMMER | B.E |
| 6 | Ms. RUBAVATHI S | TECHNICAL ASSOCIATES/PROGRAMMER | B.E |
Research & Development
Natural Language Processing
Focusing on building systems that can understand, interpret, and generate human language in a meaningful way.
Deep Learning for Healthcare
Developing predictive models and diagnostic tools using deep learning algorithms to improve medical outcomes.
Center of Excellence
Advanced Data Science Center
Collaborating with industry leaders to provide specialized training and promote research in cutting-edge data technologies.
Gallery
Upcoming Events
AI Conclave 2024
A national-level conference exploring the latest advancements in AI, featuring workshops, paper presentations, and hackathons.
Department News
A hands-on workshop designed to introduce students to the fascinating world of Generative AI and Large Language Models.
Our students secured the top spot in a regional Data-A-Thon competition by solving complex predictive modeling challenges.
Placed Student
