Department of Computer Science & Engineering
Focuses on AI, Machine Learning, Data Science, and modern software engineering. Welcome to the center of excellence where innovation meets practical engineering solutions.
MR RAGUNATH V
Head of Department, Computer Science & Engineering
ME CSE
20 YEARS experience
With over 20 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 Computer Science & Engineering, 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 and researchers of Computer Science & Engineering
Mrs Anbarasi R
Mrs Nathiya K
Mrs Pavithra Ravichandran
Mrs Ranjitha R
Mrs Saranya M
Mrs Suganya T
Mrs Tamilmalar R
Mrs Vinodha E
Laboratory Infrastructure & Facilities
State-of-the-art research testbenches, industrial workstations, and licensed software suites.
Advanced workstations optimized for algorithmic modeling, asymptotic performance analysis, and non-linear data structures implementation.
Hardware Specifications & Equipment
Intel Core i5/i7 workstations, 16GB DDR4 RAM, Gigabit Ethernet LAN, Dedicated UPS Backup
Licensed Software & Toolchain
Oracle 11g, Visual Studio Enterprise, GCC/G++ Toolchain, Linux Environment
Dedicated high-performance computing environment configured for neural network training, computer vision, and predictive big data analytics.
Hardware Specifications & Equipment
NVIDIA TensorCore GPU workstations, Intel XEON Octa-Core Server, 32GB RAM, High-speed Fibre Internet
Licensed Software & Toolchain
Python 3.10+, PyTorch, TensorFlow, Jupyter Hub, Anaconda Suite, R Studio
Sophisticated research facility enabling hardware-software simulation of wireless sensor networks, GSM/CDMA protocols, and cryptographic socket programming.
Hardware Specifications & Equipment
Cisco Routers & Switches, IoT Sensor Kits (Arduino/Raspberry Pi), Spectrum Analyzer, Dedicated WLAN
Licensed Software & Toolchain
NS-2 Network Simulator, Wireshark, ORCAD Capture, Cisco Packet Tracer
Departmental Academic Gallery
Visual moments from our practical sessions, innovation hackathons, and symposiums.
Academic photo captures and workshop logs will appear here upon admin publication.
Program Educational Outcomes (PO & PSO)
Core competency framework and graduate academic achievements.
Program Outcomes (PO)
• Engineering Knowledge: Apply advanced computing principles to solve complex theoretical problems.
• System Architecture & Design: Develop innovative algorithms and scalable software systems.
• Modern Tool Usage: Create and deploy predictive machine learning models and cloud toolchains.
Program Specific Outcomes (PSO)
• Full-Stack Competency: Demonstrate proficiency in software engineering, asymptotic optimization, and distributed databases.
• Research & AI Readiness: Adapt to emerging artificial intelligence paradigms and cyber-security standards.