Our Mission & Vision
At SRM LEARN, our mission is to make high-quality education accessible, engaging, and effective for every learner. We believe in the power of technology and community to transform lives and careers.
- Delivering world-class courses and resources
- Fostering a vibrant, supportive learning community
- Empowering students to achieve their academic and career goals
Our Core Values
Community
We grow together, support each other, and celebrate every success.
Excellence
We strive for the highest standards in everything we do.
Lifelong Learning
We believe learning never stops and encourage curiosity.
Passion
We are passionate about education and student success.
Innovation
We embrace new ideas and technologies to enhance learning.
Meet Our Expert Faculty
Our dedicated team of professionals from CINTEL and EEE departments
Dr. A. Maheshwari
Associate ProfessorDepartment of CINTELSpecializes in Computer Intelligence, Data Structures, and Advanced Algorithms
Dr. G. Sumathy
Associate ProfessorDepartment of CINTELExpert in Machine Learning, AI, and Computational Intelligence
Dr. K. Vijayalakshmi
Assistant ProfessorDepartment of CINTELFocuses on Data Mining, Neural Networks, and Pattern Recognition
Dr. M. Karpagam
Assistant ProfessorDepartment of CINTELSpecializes in Software Engineering, Database Systems, and Web Technologies
Dr. K. Saravanan
Associate ProfessorDepartment of EEEExpert in Data Structures, Algorithms, and Electrical Engineering Systems
Our Departments
CINTEL
Computer Intelligence & Engineering
Our CINTEL department focuses on cutting-edge research in artificial intelligence, machine learning, data science, and intelligent systems. Faculty members are dedicated to advancing computational intelligence and preparing students for the digital future.
EEE
Electrical & Electronics Engineering
The EEE department combines traditional electrical engineering with modern computational methods. Our faculty bridges the gap between hardware and software, bringing unique perspectives to data structures and algorithmic thinking.