
NVIDIA RTX 5070, A1000, RTX 4090 & RTX 3060 GPUs
High-performance hardware enabling accelerated training and optimization of deep learning and computer vision models.
Preparing your page with the latest academic content, research updates, and lab highlights.
Preparing your page with the latest academic content, research updates, and lab highlights.


Department Of Computer Science & Engineering (IoT, CS, BT)
Our advanced infrastructure supports practical learning through state-of-the-art equipment, edge platforms, and high-performance compute environments.
Advanced Infrastructure
Explore the core systems powering AI, BCI, IoT, edge intelligence, and autonomous platform research in our labs.

High-performance hardware enabling accelerated training and optimization of deep learning and computer vision models.

Advanced EEG acquisition platform supporting high-resolution brain signal analysis for BCI research.

Reliable, high-speed, and secure infrastructure for managing and processing large-scale experimental datasets.

Efficient edge AI platforms designed for real-time inference in embedded and intelligent systems.

Comprehensive facilities including 3D printing, soldering, PCB design, and embedded system development.

Versatile ecosystems for building scalable and connected smart applications.

Cutting-edge edge computing solutions for high-throughput AI workloads in robotics, autonomy, and intelligent systems.

Modern aerial platforms equipped for intelligent surveillance, geospatial mapping, and autonomous mission execution.

Ultra-high-performance AI supercomputing platform delivering petaflop-scale processing power for large-scale model training, simulation, and advanced research workloads.