The purpose of this lab is to provide the foundation knowledge of communication systems, understanding and practical implementation of Computer Networks and Internet of Things.

Key Capabilities

  • Selection of signal processing blocks for digital modulations and wireless signals transmission
  • Hardware for Digital Signal Processors to familiarize with Physical Layer (PHY) of data communication networks
  • Practical implementation of Internet of things
  • Hardware and software-based implementation of Computer Networks
  • Familiarization with splicing


  • PCs
  • Firewall
  • Router- Switches
  • IOT Kits
  • Sensor tile development kit
  • Wireless multisensor development Kit
  • Adlam Pluto
  • DSP Kits
  • Ubiquiti
  • Nanostations


The Artificial Intelligence, Robotics and Controls Lab of the Computer Engineering Department is equipped with
state-of-the-art equipment from world’s renowned companies. The lab is established to cater for the training and research needs at both undergraduate and postgraduate levels in the cutting-edge fields of AI, Robotics and Control Systems. The lab also has the facilities and equipment to work in future technology of Virtual Reality.

Key Capabilities

  • GPU Based high performance computer systems to efficiently run Data Science, Machine Learning and AI Based algorithms.
  • State-of-the-art Control Equipment for learning basic classical control to advanced non-linear and modern control
  • High performance Gaming PCs for generating high resolution 3D environment and Virtual Reality head-sets for immersive VR Experience
  • Educational grade Industrial robotic arms for learning robotics and use of serial manipulators in industrial automation.
  • Smart AI gadgets like Zumi AI Cars and Programmable drones for implementing and experiencing AI algorithms on real word hardware.


  • PCs
  • 3D printers
  • Single axis control kits
  • Magnetic Levitation Demo Kit
  • Mirobot 6-axis robot Kits
  • DC motor Kits
  • Fatek PLC Trainer
  • Zumi AI Car
  • Codrone
  • Commercial Arduino 101
  • GPU based systems
  • VR Headsets


The learning objectives of this lab include familiarization with simple logic gates and classical microprocessors to advanced embedded systems like microcontrollers, Digital Signal Processors (DSPs) and field-programmable gate arrays (FPGAs).

Key Capabilities

To familiarize students with the basic concepts, terminologies and types of embedded systems.
To give students an understanding of the embedded system architecture and its design flow.
Design and develop embedded systems based on microprocessors, microcontrollers, DSPs and FPGAs
Interfacing different embedded systems with PC through National Instruments products NI DAQ Modules and LabView

Design Lab


Equipped with modern prototyping equipment like 3D Printers, PCB Machines, different evaluation boards and test
equipment; the design lab of the computer engineering department facilitates students by providing an environment where students can design their engineering projects and develop prototypes for their semester as well as capstone projects.

Key Capabilities

Instant PCB Printing, both single and double sided, designed in any PCB Design tool.
Rapid Prototyping of mechanical parts and electronic assemblies using world’s topline, fast and reliable 3D printer – The MakerBot
An independent and peaceful environment with a variety of tools, both hardware and software, for design and development of projects for both students and faculty members


  • PCs and Pitop
  • 3D printers,
  • PCB Fabrication Printer
  • Arduino boards
  • Handheld Oscilloscope
  • Power Supply
  • MSP 430 boards
  • Analog discovery and protoboards
  • Raspberry Pi 4
  • Bench Top Multimeter
  • Power Supply Soldering Stations



CNC Milling Machine
Vertical Machining Centre
Lathe Manual Bench Top
Shaper Machine
Universal Wood Machine
Power Hacksaw
Shearing Machine
Radial Drilling Machine
Sheet Bending Machine


System Spec

HP PC Z2 Tower G-5 Workstation
Processor: intel Core I7-10700 CPU 3.80GHZ
Installed Memory (RAM): 16GB
Operating System Type: 64-bit
Operating System : Windows 10 Pro/ Ubuntu
Hard Drive: 1TB HDD, 512GB SSD
Graphic Card: Dedicated Nvidia Quadro P1000-4G


Physical Security
Compute and Storage
Financial Stability
24/7 Monitoring and support
Optimized operations