LABORATORIES

The department has following well-equipped laboratories with latest configurations of computer systems.

Data Analytics Laboratory

Data Analytics lab is well-equipped with the following

High end systems with GPU processors with the configuration of High end Core-i7 systems and Graphics cards for conducting data analytics Lab and Artificial Intelligence Lab with large data set.

This lab is equipped with High end Core-i7 systems with high capacity Graphics cards. This lab is used to study, process and analyse the data using Python, Numpy, Scipy, Matplotlib, Pandas, statsmodels, seaborn, plotly, bokeh. The students perform various experiments in mathematical functions, random number generators, linear algebra routines, Fourier transforms operations, optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics, data processing, data prediction, decision making, animated and interactive visualizations. Students can work with large data sets and visualize interactive statistical models and random distributions.

Artificial Intelligence Laboratory

This lab has developed with the aim of learning about the latest technologies of the field like Deep Learning, Machine Learning, and Robotics, it has latest software tools and platforms to our students not only learn but also to work with them to build automation systems.

 

Deep Learning Laboratory

Deep Learning Laboratory is established in our AI&DS Department with the purpose to provide a specialized environment for practical learning, research, and innovation in artificial intelligence, particularly in the field of deep learning. It enables students, researchers, and professionals to gain hands-on experience by developing and training complex neural network models using advanced computing resources and industry-standard tools. The lab serves as a hub for skill development, project execution, and experimentation in areas such as computer vision, natural language processing, and robotics. It also supports academic and real-world problem-solving through collaborative research and facilitates knowledge sharing among peers and experts, thereby fostering a deeper understanding of AI technologies and their applications.  High end systems with GPU processors with the configuration of High end Core-i7 systems and Graphics cards for conducting deep learning  Lab with large data set.

 

Thrust areas of Research

  • Data Science
  • Medical Image analysis
  • Data Security
  • Artificial Intelligence
  • Machine Vision
  • Agricultural automation systems
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