AI and Data Analytics: The school of computer science and Engineering has a well-established laboratory and a team of researchers working in the area of Deep Learning, 3D reconstruction, video processing, vision applications, and distributed computing.

Ongoing focused research areas are data analysis (modeling, predictive analysis, pattern recognition) to extract knowledge and insights for applications in the areas of innovative education Assessment (CEER), IHDS (Indian Heritage in Digital Space), Smart campus (Security and surveillance) and smart city, enhancing the performance of distributed computing systems.

The research group also has grants from DST-sanctioned projects (Details shown below) in Indian Heritage in Digital Space and Underwater IP and 3D reconstruction.

1. Title: Crowdsourcing Framework for Digital Archiving and Presentation of Cultural Heritage
   Sponsoring Agency: IHDS, DST, GoI
   Amount Sanctioned: 41.34 Lakhs
2. Title: 3D Reconstruction and Visualization of Underwater Archaeological Site Poompuhar
   Sponsoring Agency: DST, GoI
   Amount Sanctioned: 62.66 Lakhs

Focused research themes:

• Image and Video analytics.
• 3D Data Representation and Analysis, Object Categorization, Super Resolution, Hole Filling, and Inpainting.
• Development of a framework for filtering and categorization of crowd-sourced data to provide 2D and 3D data processing methods/algorithms for the presentation of the crowd-sourced data: Categorization, Filtering, Super-Resolution, Object detection.
• Optimization of AI algorithms for OnDevice.
• Enhancing the performance of distributed computing using sharding techniques.

AI and Data Analytics lab

High-Performance Computing: This research group focuses on the application of Parallel Computing, many-core computing, and heterogeneous computing to solve large-scale scientific problems. The group has the Center for High-Performance Computing, which has DGX-1 Server, Apple Mac systems, and other multicore systems supporting the University as a Central facility for researchers, faculty, and students.

Research problems we are addressing include:

• A Framework for Power-Aware Scientific Application Development on Multicore Processor.
• Speedup of Distributed Deep Learning Algorithm for Healthcare Application
• A Distributed Deep Learning Framework for Detection of Deforestation
• Automated Earned value tracking in 5D BIM models using Machine Learning Algorithms.
• Diabetic Retinopathy Grading via Deep Convolution Networks

The research group also has grants from DST-sanctioned projects in Diabetic Retinopathy

Title: Automated  Grading of Diabetic Retinopathy at Primary Healthcare centres (PHCs) using Distributed Deep Learning framework

Sponsoring Agency: DST-NSM

Amount Sanctioned: 19.886 Lakhs