AR & VR Lab
The department of Computer Science and Engineering has an AR/VR Lab Facility a specialized space designed to explore and innovate with augmented reality (AR) and virtual reality (VR) technologies. Cutting-edge Hardware like VR headsets, AR glasses, and advanced computing systems providing state of art environment for students and researchers, to design, build, and test immersive experiences. AR & VR enhances the real world by overlaying digital content (like images, videos, or sounds) onto the real-world environment in real-time. It adds digital elements to the real world, enhancing the user's perception of their surroundings. ...
AR & VR Lab
Data Science Lab
The Data Science Lab focuses on applying machine learning, data mining, and network analysis to real-world societal and industrial problems. To handle the computational demands of data analysis tasks, this laboratory is outfitted with high-performance computing systems, such as servers with powerful processors, large amounts of memory, and fast storage. This laboratory offers a comprehensive suite of software tools designed specifically for data science tasks. Additionally, it offers specialized tools for data manipulation, visualization, machine learning, and deep learning, such as TensorFlow, scikit-learn, PyTorch, and Tableau.
Data Science Lab
Data Analytics Lab
Data Analytics Laboratory focuses on developing algorithms to extract useful information from huge amount of raw data. This lab would cater to students, members of faculty, and staff. The lab mainly houses software tools for various disciplines in Data Analytics such as Health Care, Finance,Speech, Vision and Text.
Data Analytics Lab
Gen AI Lab
Gen AI typically refers to Generative AI, a type of artificial intelligence that is designed to generate new content, such as text, images, music, or even video. This technology learns patterns from vast amounts of data and can create original outputs that mimic human creativity. Some of the most common types of generative AI include: Language Models, Image Generators, Music and Audio Generators, Video Generators .
Computer Vision Lab
Computer Vision is a field of artificial intelligence (AI) and computer science that focuses on enabling machines to interpret, understand, and analyze visual information from the world, much like humans do. It involves the development of algorithms and models that allow computers to process and interpret images, videos, and other visual data. The lab focuses on various disciplines in computer vision such as Image Classification, Object Detection, Image Segmentation, Facial Recognition.
Computer Vision Lab
Machine Intelligence Lab
The Machine Intelligence Laboratory provides a synergistic environment dedicated to the study and development of intelligent, autonomous systems. It aims in designing intelligent algorithms which automate problems of data analysis, planning and decision making.The faculty and students associated with the laboratory conduct research in the theory and realization of machine intelligence covering topics such as machine learning, real-time computer vision, statistical modelling, computational intelligence, pattern analysis and neural networks.
Machine Intelligence Lab
Artificial Intelligence Lab
This lab has high configuration systems to aid in experimenting Machine Learning and Artificial Intelligence projects and thus supporting Artificial Intelligence Lab
Artificial Intelligence Lab
Cloud Computing Lab
Cloud Computing Lab is utilized by UG and PG students for the following purpose
1. Development of Mobile applications using Android Studio
2. Artificial Intelligence and Machine Learning
3. Cloud Computing Lab
4. Mini Project
5. Project Work (UG and PG)
Cloud Computing Lab
Software Engineering Lab
The Software Engineering Lab-A and Lab-B are two adjoining rooms equipped with state-of-the-art hardware and software. All the systems in the lab are installed with Fedora as well as Microsoft Windows Operating System. The Students learn and implement the concepts of Software Engineering using the open source UML tools like Argo UML and Star UML for designing and modelling activities.The lab is equipped with Desktop Systems and LCD Projector. The lab is utilized for conducting other Laboratory Courses such as Programming for Problem Solving, Data Structures Lab, Security lab and User Interface Lab, and for conducting various technical events.
Software Engineering Lab
Microprocessor Lab
This lab caters to the undergraduate students to learn the basic concepts of digital hardware, memory and provide software oriented approach for designing digital systems.
This lab has a facility to perform assembly language programming in 8-bit, 16bit microprocessor and microcontroller systems. Also, we have hardware interfaces to simulate and check real time applications using microprocessor
Microprocessor Lab
Database Lab
The database laboratory facilitates the conduct of Database Management Systems Lab, Programming and Data Structures lab, Operating Systems lab, Compiler lab and Object Oriented Programming lab. Apart from conducting regular lab sessions, the laboratory facilitates conduct of hands-on workshops, seminars, various coding & design competitions and training for students and faculty of the department.This lab is fully air conditioned and equipped with 40 desktop computers with the required software, LCD Projector with screen, a printer and UPS (3 nos.). The lab also has an Intel Xeon W2102 2.9GHz, Nvidia GeForce RTX 2080 Ti 11 GB GPU workstation, which can be used for carrying out projects and research work in areas like Image and Video processing, computer vision, data analytics, big data etc.
Database Lab
Centre for Deep Learning
The Center for Deep Learning aims at providing the environment to facilitate the research activities in thrust areas like Image processing, Video, Speech and Audio processing, Healthcare Analytics and Cloud-computing.The high-Performance GPU “NVIDIA RTX 2080” is equipped with requisite AI Tensor cores and higher memory bandwidth is very useful in modelling and training Neural Network with large datasets. Students & researchers are getting an amazing opportunity to carry out their research work on any of the following interdisciplinary domain: Computer Vision, Data Analytics, Natural-Language-Processing, Image-processing, Data-Visualization, Web Mining, Information Retrieval, Network Security, Game playing, Statistics, Robotics, Social Networking etc. This facility is also used for conducting training, workshop and seminars for faculty members and the students.
Centre for Deep Learning
Centre for Intelligent Computing
The Centre for Intelligent Computing was established in 2018 to accelerate R&D activities in the field of Cloud Computing, Cyber Security and IoT. Funded by DST-SERB. Centre for Cloud computing aims at bringing in innovative ideas in the thrust areas of Cloud Computing, Cyber security, Automation Testing and Internet of Things.
Centre for Intelligent Computing
Centre for Language Processing
Centre for Language Processing aims at bringing in innovative ideas in the thrust areas of Language processing, Speech Processing and Image Processing. The centre supports the faculty members who are actively pursuing research in thrust areas of Speech Processing, Text Mining, Computational Linguistics, Image Processing. The infrastructure support is provided to the researchers for pursuing their research and consultancy activities.The Centre conducts technical seminars/workshops/events related to Text Mining, Language processing, Speech Processing and Image Processing. Through collaborative work the centre provides a platform for the faculty members to interact with other experts in their area of specialization. Faculty Members, Research Scholars, Students are benefitted in conducting their research experiments in this centre.
Research Cell
The Research Cell promotes and coordinates various research activities in the Department. It offers a great platform for academicians,researchers, students, subject experts and aims to enhance the research proportion of faculty and students. It is also responsible for encouraging students to participate in international/national conferences and to publish their research work in reputed journals.