Laboratory

Description:
The Machine Learning Laboratory provides an environment for research and development in Artificial Intelligence and Data-driven technologies. The lab focuses on supervised, unsupervised, and reinforcement learning techniques and their applications in real-world problems.

Features:
● High-performance computing systems with GPU support
● Software: Python, TensorFlow, PyTorch, MATLAB
● Internet & Wi-Fi facility
● Smart board/whiteboard facility

Utilization:
Students and researchers utilize this lab for designing, training, and deploying machine learning and deep learning models in domains like:
● Natural Language Processing
● Predictive Analytics
● Computer Vision

Area of Assignments:
1. Supervised & Unsupervised Learning
2. Deep Learning Applications
3. Predictive Analytics Projects

Description:
The Intel Laboratory is designed in collaboration with Intel initiatives to provide students with exposure to cutting-edge hardware and software solutions, with a focus on embedded systems, IoT, and parallel computing.

Features:
● Software: Intel OneAPI, C/C++, Python, Embedded OS
● Internet & Wi-Fi facility

Utilization:
Students develop projects on embedded systems, IoT applications, and high-performance computing using Intel-based architectures.

Area of Assignments:
1. Embedded System Design
2. IoT Application Development
3. Parallel and Distributed Computing

Description:
The Computer Vision Laboratory supports research in image processing, video analytics, and intelligent visual systems. The lab is equipped with vision-based software tools.

Features:
● High-performance computers
● Software: OpenCV, MATLAB, Python (Keras, PyTorch), ROS
● Internet & Wi-Fi facility

Utilization:
Students perform practical assignments on real-time object detection, facial recognition, augmented reality, and robotic vision systems.

Area of Assignments:
1. Image Processing
2. Object Detection & Tracking
3. Augmented and Virtual Reality Applications

Description:
The Cyber Security Laboratory offers a secure environment for learning and practicing ethical hacking, digital forensics, and security testing techniques.

Features:
● Systems with Linux and Windows dual boot
● Network simulation
● Security software: Kali Linux, Burp Suite, Snort
● Internet & Wi-Fi facility

Utilization:
Students conduct experiments on penetration testing, cryptography, secure coding, malware analysis, and network defence mechanisms.

Area of Assignments:
1. Ethical Hacking & Penetration Testing
2. Cryptography & Secure Communication
3. Network Simulation and Security Protocols

Description:
The PG Laboratory caters to postgraduate students for advanced research, project development, and dissertation work. It provides computing and networking resources suitable for advanced research activities.

Features:
● High-end computing systems
● Software: MATLAB, Python, Eclipse, Java, specialized research tools
● Printer and internet facility
● Wi-Fi and project discussion space

Utilization:
Postgraduate students use this lab for thesis work, advanced simulations, and prototype development.

Area of Assignments:
1. Postgraduate Dissertation Work
2. Advanced Research Projects
3. Collaborative Research Activities

Description:
The Innovation Laboratory fosters creativity and entrepreneurship by providing tools and resources to design, prototype, and test innovative solutions. It integrates interdisciplinary research and industry collaboration.

Features:
● 3D Printers, Arduino, Raspberry Pi, and IoT kits
● Software: AutoCAD, SolidWorks, MATLAB, Python
● Internet & Wi-Fi facility

Utilization:
Students perform project-based learning, innovation challenges, hackathons, and prototype development for real-world applications.

Area of Assignments:
1. Prototype Development
2. IoT Innovations
3. Industry Collaborative Projects

Description:
The Data Science Laboratory is dedicated to big data analytics, visualization, and data-driven decision-making. It enables students to handle large datasets and perform predictive and prescriptive analysis.

Features:
● High-end computing systems with big data support
● Software: Python, Power BI, MATLAB
● Cloud access (AWS, Google Cloud, Azure)
● Internet & Wi-Fi facility

Utilization:
Students use the lab to analyse datasets, build data pipelines, visualize insights, and apply machine learning for business intelligence.

Area of Assignments:
1. Big Data Analytics
2. Data Visualization and Business Intelligence
3. Machine Learning for Data Science

Description:
The MAC Laboratory is designed to provide an industry-standard environment for iOS and macOS application development. It is equipped with modern Apple Mac systems, a whiteboard facility, and high-quality furniture. The lab supports the development and testing of Swift-based applications, as well as other Apple software. The total area of the MAC Laboratory is 66 sq. ft.

Features:
● Major Equipment:
o 30 Apple Mac Computers
o Internet Facility
Wi-Fi Facility
● Software: iMac OS, Swift, Python, Eclipse

Utilization:
Students use the laboratory to perform practical experiments and assignments related to:
● Swift Programming
● iOS Application Development
● macOS-based software tools

Area of Assignments:
1. Swift Laboratory.
2.iOS Application Development

Description:
The Project Laboratory provides supplemental learning services and resources. It offers peer and faculty tutoring, assistance with test preparation, access to computers, printers, and online computer-assisted learning programs. The total area of the Project Laboratory is 66.73 sq. ft.

Features:
Softwares: Fedora OS, Ubuntu OS, Java, gcc, NASM, Python, Eclipse
Hardware: Printer
Internet Facility
Wi-Fi Facility

Utilization:
Students use the Project Lab for:
● Test preparation
● Access to computers and printers
● Online computer-assisted learning programs
● Project development and practice work

Description:
The Self-learning Lab is equipped with computer terminals with Internet connection, chairs, white board and good quality furniture and sensors of IoT projects. Self-Learning Laboratory area is 68 Sq. Mt.

Features:
Softwares: Fedora OS, Ubuntu, Java, gcc, NASM, Python, OpenGL, Modelio, QT, Eclipse, Mysql
Hardware: Network Printer, Wi-Fi Projector, Raspberry PI3, MQ2 Sensor, PIR Sensor, Gas Sensor, Sound Sensor, Multi sensor pack, Finger print Sensor, Wi-fi Access Point
Internet Facility
Wi-Fi Facility

Utilization:
Students can perform the experiments based on development of software and hardware projects. This laboratory is mainly used for the conduction of project related activities.

Description:
The Linux Laboratory is equipped with latest configuration computer terminals with Internet connection, chairs, white board and good quality furniture. Linux lab is exclusive for the software programs. Linux Laboratory area is 66 Sq. Mt.

Features:
Softwares: Fedora OS, Ubuntu OS, TIBCO Statistaica, Java, gcc, Python, Eclipse
Hardware: Laser Printer
Internet Facility
Wi-Fi Facility

Utilization:
Students can perform the experiments based on Linux operating System and inspired to use Open Source Software’s and this laboratory is exclusive for the software programs.

Description:
The PG Laboratory is equipped with computer terminals with Internet connection, chairs, white board and good quality furniture. PG Laboratory area is 66.73 Sq.Mt.

Features:
Softwares: Fedora OS, Ubuntu OS, Java, gcc, NASM, Python, Eclipse
Hardware: Network Printer
Internet Facility
Wi-Fi Facility

Utilization:
Students can perform the experiments based on project works and dissertations. This laboratory is used for conducting the practical’s of ME students.

Description:
Multi-computer teaching facilities dedicated to integrating creative technology with teaching and learning. We provide software, equipment and support for the production of web, software development, graphics, video animation, 3D fabrication and sound. The Multimedia Laboratory area is 66 Sq. Mt.

Features:
Softwares: Fedora OS, Ubuntu OS, Java, gcc, Python, OpenGL, Modelio, QT
Hardware: Laser Printer, Web camera, Audio System, Projector, Online UPS
Internet Facility
Wi-Fi Facility

Utilization:
Students can perform the experiments based on production of web, software development, graphics, video, animation, 3D fabrication and sound. This laboratory is basically used to focus on the multimedia techniques.

Description:
The Research Laboratory provides a dedicated environment for undergraduate, postgraduate, and doctoral students to carry out academic and applied research. It supports interdisciplinary projects, experimental work, and innovation in emerging technologies.

Features:
● High-performance computing systems
● Software: MATLAB, Python, Java, Eclipse, research-oriented tools
● Hardware: Printers, projectors.
● Internet & Wi-Fi facility
● Dedicated research workspace

Utilization:
Students and faculty members use this lab for research publications, project development, prototype testing, and experimental studies in computer engineering fields.

Area of Assignments:
● Research Project Development
● Thesis/Dissertation Work
● Publications and Experimental Studies

Description:
The Software Laboratory carries out research in the domains of software modeling, software development, software evolution and software engineering exclusive for the software programs. The Software Laboratory area is 66 Sq.Mt.

Features:
Softwares: Fedora OS, Ubuntu OS, Java, gcc, NASM, Python, Eclipse
Hardware: Laser Printer, IBall Web Camera
Internet Facility
Wi-Fi Facility

Description:
The Hardware Laboratory has various types of microprocessor, micro controller trainer kits along with interfacing modules to demonstrate the detailed applications of microprocessors. The purpose of this laboratory is to train the students to be familiar with the software and hardware of microprocessors so that they can gain enough experiences to meet the demand of the microprocessor era and principles of combinational and sequential digital logic design and optimization at a gate level. The Hardware Laboratory area is 66 Sq.Mt.

Features:
Major equipment’s of the lab are:
Internet Facility
Wi-Fi Facility
Software’s: Fedora OS, Java, gcc, NASM, Python, Eclipse
Hardware: Laser Printer, Microprocessor Kits and Interfacing Kits, Digital Trainer Kits, Oscilloscope, Power Supply, Raspberry PI3, Begal Bone and Interfacing Kits, IC Tester, Robotic Arm

Utiliation
Students can perform the experiments based on: Microprocessor and micro controller trainer kits along with interfacing modules to demonstrate the detailed applications of microprocessors and microcontrollers.