Electrical Machine Lab (Senate Building Room 204)

This lab allows students to study the behavior of rotating electrical machinery. It focuses on the characteristics of motors and generators, power factor correction, and electromechanical energy conversion.

Equipment

AC/DC Motors, Synchronous Generators, Three-Phase Transformers, Variable Autotransformers (Variacs), Tachometers, and Torque Meters.

Facility Type

Electrical Project Laboratory

A dedicated space for final-year students and faculty researchers to design, prototype, and test complex electrical systems. It serves as an incubation hub for student-led engineering solutions.

Equipment

Oscilloscopes, Signal Generators, DC Power Supplies, Soldering Stations, Breadboards, and Microcontroller Development Kits (Arduino, Raspberry Pi)

Facility Type

Textile Engineering Laboratory

The Textile Engineering Laboratory is designed to support practical training, experimentation, and research in textile materials, yarn production, fabric manufacturing, and textile testing. The laboratory enables students to gain hands-on experience with textile processing techniques while supporting research and innovation in textile engineering and industrial applications.

Equipment
  • Spinning and weaving machines
  • Knitting and fabric finishing equipment
  • Textile testing instruments
  • Dyeing and printing equipment
  • Industrial sewing machines

Facility Images

  • Image
    PTI Lab

Facility Type

Artificial Intelligence Laboratory

The Artificial Intelligence Laboratory provides a practical environment for teaching, research, and innovation in artificial intelligence, machine learning, data science, and intelligent systems. The laboratory supports hands-on learning, student projects, and staff research activities aimed at developing data-driven solutions to real-world problems. It also serves as a hub for innovation, experimentation, and interdisciplinary collaboration within the Faculty.

Equipment
  • High-performance desktop computers and workstations
  • GPU-enabled machines for machine learning and deep learning
  • Data science and AI software tools (Python, TensorFlow, PyTorch, Scikit-learn)
  • High-speed internet connectivity
  • Projectors and interactive displays

Facility Images

  • Image
    BCT

Facility Type

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