Department of Computer Science and Engineering (AI & ML)
Building Intelligent Systems for Tomorrow
The Department of Computer Science and Engineering specializing in Artificial Intelligence and Machine Learning (AIML) is designed to prepare students for one of the fastest-growing and most impactful technological domains in the world. The program focuses on advanced computational techniques, intelligent systems, data-driven decision-making, and emerging AI technologies.
With modern infrastructure, industry-standard laboratories, experienced faculty, and a research-driven environment, the department empowers students to become innovators, problem solvers, and leaders in the fields of AI, Machine Learning, Data Science, Automation, and Intelligent Computing. The curriculum balances theoretical concepts with practical exposure through hands-on coding, real-time datasets, AI model training, internships, and project-based learning.
To provide a strong foundation in computer science, mathematics, and artificial intelligence principles.
To develop skills in designing, training, and evaluating machine learning and deep learning models.
To equip students with knowledge of data processing, statistical analysis, neural networks, and intelligent systems.
To familiarize students with modern AI/ML tools, programming frameworks, and cloud-based platforms.
To promote innovation, research, and problem-solving in areas requiring intelligent solutions.
To build essential communication, teamwork, and leadership skills relevant to AI-driven industries.
PEO 1: Technical Excellence
To produce graduates with strong knowledge in computer science and advanced AI/ML technologies.
PEO 2: Problem Solving
To develop analytical, research, and problem-solving abilities needed to build intelligent, data-driven solutions.
PEO 3: Higher Education & Research
To encourage continuous learning through certifications, higher studies, research, and professional development.
PEO 4: Professional Ethics
To cultivate ethical values, social responsibility, and professionalism in the field of AI and computing.
PEO 5: Career Preparedness
To prepare students for global career opportunities in emerging fields such as AI, ML, Data Science, Robotics, and Intelligent Automation.
Mrs. K. Rajapriya
M.E.
Head of the Department - Computer Science and Engineering (AI & ML)
Mrs. K. Rajapriya is the Head of the Department of Artificial Intelligence and Machine Learning. She is responsible for overseeing the academic activities, maintaining discipline, and driving the overall achievements of the department.
She obtained her Bachelor's degree in Computer Science and Engineering from Annamalai University, Chidambaram, and completed her Master's degree in Computer Science and Engineering from PRIST University, Thanjavur.
Mrs. K. Rajapriya has more than seven years of teaching experience in professional education. Her areas of interest include Programming in C, Database Management Systems, Object-Oriented Programming, Object-Oriented Software Engineering, Design and Analysis of Algorithms, Computer Networks, and Software Testing.
She is a Life Member of the Indian Society for Technical Education (ISTE) and is actively involved in academic development and student mentoring.
Teaching Faculty
| Sl.No. | Name of Faculty | Designation | Qualification |
|---|---|---|---|
| 1 | KANIMOZHI T | ASSISTANT PROFESSOR | M.E. |
| 2 | JANANI M | ASSISTANT PROFESSOR | M.E. |
| 3 | SUDHA. P | ASSISTANT PROFESSOR | M.E. |
The Department of Computer Science and Engineering specializing in Artificial Intelligence and Machine Learning (AIML) is designed to prepare students for one of the fastest-growing and most impactful technological domains in the world. The program focuses on advanced computational techniques, intelligent systems, data-driven decision-making, and emerging AI technologies.
With modern infrastructure, industry-standard laboratories, experienced faculty, and a research-driven environment, the department empowers students to become innovators, problem solvers, and leaders in the fields of AI, Machine Learning, Data Science, Automation, and Intelligent Computing. The curriculum balances theoretical concepts with practical exposure through hands-on coding, real-time datasets, AI model training, internships, and project-based learning.
To provide a strong foundation in computer science, mathematics, and artificial intelligence principles.
To develop skills in designing, training, and evaluating machine learning and deep learning models.
To equip students with knowledge of data processing, statistical analysis, neural networks, and intelligent systems.
To familiarize students with modern AI/ML tools, programming frameworks, and cloud-based platforms.
To promote innovation, research, and problem-solving in areas requiring intelligent solutions.
To build essential communication, teamwork, and leadership skills relevant to AI-driven industries.
PEO 1: Technical Excellence
To produce graduates with strong knowledge in computer science and advanced AI/ML technologies.
PEO 2: Problem Solving
To develop analytical, research, and problem-solving abilities needed to build intelligent, data-driven solutions.
PEO 3: Higher Education & Research
To encourage continuous learning through certifications, higher studies, research, and professional development.
PEO 4: Professional Ethics
To cultivate ethical values, social responsibility, and professionalism in the field of AI and computing.
PEO 5: Career Preparedness
To prepare students for global career opportunities in emerging fields such as AI, ML, Data Science, Robotics, and Intelligent Automation.
Mrs. K. Rajapriya
M.E.
Head of the Department - Computer Science and Engineering (AI & ML)
Mrs. K. Rajapriya is the Head of the Department of Artificial Intelligence and Machine Learning. She is responsible for overseeing the academic activities, maintaining discipline, and driving the overall achievements of the department.
She obtained her Bachelor's degree in Computer Science and Engineering from Annamalai University, Chidambaram, and completed her Master's degree in Computer Science and Engineering from PRIST University, Thanjavur.
Mrs. K. Rajapriya has more than seven years of teaching experience in professional education. Her areas of interest include Programming in C, Database Management Systems, Object-Oriented Programming, Object-Oriented Software Engineering, Design and Analysis of Algorithms, Computer Networks, and Software Testing.
She is a Life Member of the Indian Society for Technical Education (ISTE) and is actively involved in academic development and student mentoring.
Teaching Faculty
| Sl.No. | Name | Designation | Qualification |
|---|---|---|---|
| 1 | KANIMOZHI T | ASSISTANT PROFESSOR | M.E. |
| 2 | JANANI M | ASSISTANT PROFESSOR | M.E. |
| 3 | SUDHA. P | ASSISTANT PROFESSOR | M.E. |