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.
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.