Research in Computer Science and Engineering

AI and Data Analytics

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.

Network Engineering

Network Engineering: The networking research group is working towards cross-layer optimization algorithms for joint routing, rate adaptation, and power control for multi-hop access networks like sensors and mesh. The group is also working in the in the areas of virtualization, cloud computing and software defined networks. Some of the current research topics are energy-efficient resource management in cloud data center networks and Intrusion detection in software defined networks.

The center for Cloud computing and Networking has a Cloud testbed of 4 blade servers, Juniper Networks switches/routers and Qualnet simulator for carrying out the research.

Research problems we are addressing include:

  • Cross-layer design for joint routing, scheduling and rate adaptation in multi-radio infrastructure wireless mesh networks.
  • Energy efficient resource management in data center networks.
  • Intrusion detection in software defined data center networks
  • SLA-violation detection in Cloud Environment using Blockchain
  • QoS Provisioning in 5G networks
  • Data traffic aware co-operative transmission for network resource optimization.

 

KLE Tech Private cloud

High Performance Computing

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

Collaborations with other universities:

  • Volgograd State Technical University
  • Bennett University (Along with Royal Academy of Engineering, Brunel University, London)

Centre for High Performance Computing

MoU with industries

Sl. No.Organization
1Microsoft India R&D Private Limited
2Robert Bosch Engineering and Business Solutions Limited
3Infosys Ltd
4Juniper Networks
5University of Agricultural Sciences, Dharwad
6MMRFIC Technologies Private Limited
7Continental Automotive Components (India) Private Limited
8KPIT Technologies Limited
9Samsung R&D Institute India-Bangalore Private Limited
10SEER Akademi Private Limited