Department of Artificial Intelligence & Data Science
Cutting-edge program dedicated to deep learning, neural networks, and big data. Welcome to the center of excellence where innovation meets practical engineering solutions.
MRS PARVATHI S
Head of Department, Artificial Intelligence & Data Science
ME CSE
12 experience
With over 12 years of academic and industrial experience, our HOD leads the department with a vision for technological excellence and innovation.
Our Vision
To be an acclaimed center of excellence in Artificial Intelligence & Data Science, producing globally competent professionals with strong ethical values, deep technical knowledge, and highly innovative thinking to serve the society and industry.
Our Mission
• To impart high-quality education through a rigorous and industry-aligned curriculum.
• To foster research, innovation, and strong entrepreneurial skills among students.
• To collaborate actively with global industries for practical exposure.
• To inculcate professional ethics, leadership qualities, and a passion for lifelong learning.
Academic Leadership & Faculty
Meet the dedicated teaching faculty of the Department of Artificial Intelligence & Data Science
Mrs Ananthi R
Mrs Gomathi A
Mrs Kalaiselvi N
Mr Palanivel Selvarasu
Mrs Saranya D
Mrs Sudha C
Mrs Rekha S
Mrs Indhumathi V
Laboratory Infrastructure & Facilities
State-of-the-art research testbenches, industrial workstations, and licensed software suites.
State-of-the-art computational studio designed for petabyte-scale data engineering, generative AI research, and high-dimensional predictive forecasting.
Hardware Specifications & Equipment
Hadoop Cluster Node Server, Multi-GPU Apple M2 Max / RTX 4090 Rigs, Ultra-Wide Curved Displays
Licensed Software & Toolchain
Apache Spark, Hadoop, Apache Kafka, Tableau Professional, Keras, Docker & Kubernetes
Departmental Academic Gallery
Visual moments from our practical sessions, innovation hackathons, and symposiums.
Program Educational Outcomes (PO & PSO)
Core competency framework and graduate academic achievements.
Program Outcomes (PO)
• Data Analytics Competency: Extract actionable insights from complex unstructured data pipelines.
• Machine Learning Engineering: Build, optimize, and deploy scalable deep neural architectures.
• Ethical AI Frameworks: Ensure fairness, explainability, and governance in autonomous decision systems.
Program Specific Outcomes (PSO)
• Enterprise Intelligence Mastery: Design end-to-end MLOps architectures and computer vision pipelines.
• Big Data Research Readiness: Innovate across NLP, generative modeling, and reinforcement learning domains.