Centre of Excellence in Visual Intelligence (CEVI)

The Centre of Excellence in Visual Intelligence (CEVI) at KLE Tech focuses on providing visual intelligence-based solutions to real-world problems. The Centre is established in 2008-09. The researchers at CEVI work on different data modalities with a focus on visual data towards human-like inferences.

Research involves generative tasks like restoration in different scenarios, synthetic image generation, and discriminative tasks like classification, object detection/tracking, and semantic segmentation on both 2D and 3D data. Current technology trends like supervised, semi-supervised and self-supervised methods using AI/ML/DL enabled techniques/frameworks to interpret the data.

To facilitate visual intelligence inferences by generating engineered data customised for building specific/identified solutions. CEVI also develops techniques for on-device optimisation to address application-based optimisation of AI/ML models, system/architectural aspects of edge AI computing for low precession processing, and multi-objective optimisation. CEVI focuses on the development of new computational methods and their innovative applications to interpret the problems in the areas of Digital Heritage, Agriculture, and Smart Manufacturing.

Collaborations: CEVI is collaborated with multiple institutes and is part of many multi-institute collaborative projects like India digital heritage (IDH), Indian Heritage in Digital Space (IHDS), and Digital Poompuhar funded by the Department of Science and Technology (DST), Govt. of India under ICPS scheme. IITs, IIITs, and IISc are part of these consortium projects. CEVI also collaborated with many industries, leading to the establishment of the “Student Ecosystem for Engineered Data (SEED)” Laboratory in collaboration with Samsung R&D Institute, Bangalore.


Centre of Excellence in Material Science (CMS)

Through experiment, theoretical and computational research, the multidisciplinary team at the “Center of Excellence in Material Science” is deeply engaged in developing novel functional materials to address critical challenges across the industry and society. The research focus areas are

  • Bio/synthetic polymer-based nanocomposites,
  • Nano-materials for applications in structural, energy, biotechnology, and agricultural sectors.
  • Synthesis of bio-polymer membranes for separation and packaging,
  • Thin films for tribological and sensing applications.
  • Novel materials for energy storage/harvesting applications

Core strengths in materials synthesis, processing, characterisation, and computational modelling underpin and integrate these research areas. The center closely works with the industry and entrepreneurs for technology transfer and consultancy. The Centre has several funded projects and state-of-the-art facilities to carry out cutting-edge research in material science.


Centre of Excellence in Energy and Environment (CEEE)

The “Centre of Excellence in Energy and Environment (CEEE)” at KLE Tech aims to advance fundamental and applied science research for a sustainable future. Generating alternative energy solutions is a complex, global issue and needs multiple perspectives. KLE Tech’s core research expertise in science and engineering forms the foundation for the Centre of Excellence in Energy and Environment.

The research at CEEE focuses on critical global energy and environmental challenges to ensure a sustainable future and focuses on three research verticals

Pure hydrogen production via catalytic membrane technology in energy conversion through electrocatalytic and photocatalytic water-splitting

Integrated waste treatment and energy resource recovery with sustainable Bio-electrochemical systems (BES).


Synthesis and characterisation of 2D layered materials like graphene, TMDs, MXenes, transition metal oxides, graphic nitrides

Fabrication and analysis of supercapacitors, and generating lab-scale prototypes


Electric Vehicle Innovation Centre (EVIC) - LTTS

Electric Vehicle Innovation Centre (EVIC) at KLE Tech aims to setup facilities to drive research and innovation in the next generation electrical vehicle technologies. Research at EVIC focuses on three main areas;

  • Smart e-drive systems

    On-field oriented, direct torque and model predictive control of different motors like IM, SRM, PMSM

    Fault-tolerant control strategies

    Emerging machine drives like integrated motor drive, wireless motor drive

  • Battery management, and

    EV-Battery Modelling, Battery State Estimation, and Battery Charge Control in real-world applications.

  • Charging infrastructure with the distribution grid.

    The researchers and students are actively engaged with the industry mentors from LTTS.


Centre for intelligent mobility (CIM) – Nvidia, LTTS

The “Centre for Intelligent Mobility (CIM)” at KLE Tech aims to drive research and innovation to develop smart, safe, and connected future mobility solutions. The three main focus areas of CIM are;

  • Perception and navigation

    Models for situational awareness towards perception and navigation to enable higher levels of driving automation

  • V2X communication

    Reliable and interoperable vehicle-to-everything (V2X) communication to provide real-time information for enhanced road safety and comfort

  • Secured connectivity

    Identifying and mitigating threats and attacks to provide secured connectivity towards smart mobility

The Centre has set up a state-of-the-art facility, including


Quanser QCAR Research Studio

CANoe /CANalyzer

Vector HW


The Centre works with industry mentors from LTTS and NVDIA


Centre for Intelligent Solutions for Healthcare Applications (C-ISHA)

The “Centre for Intelligent Solutions for Healthcare Applications (C-ISHA)” at KLE Tech aims to leverage the potential of AI and Computer Vision (technologies) to transform Medical diagnosis and Treatment to Improve Patient Outcomes.

The major focus research areas of Centre are:

  • Computer vision for medical diagnosis and treatment

    Medical image reconstruction, restoration, registration, segmentation, classification, and visualisation

    Development of AI/ML/DL-based methods with parallel and edge computing for the deployment of solutions

  • Acquisition, integration and analysis of medical data

    Medical data generation, processing and inference for specific applications.

  • Disease-specific analysis and interventions to promote faster, reliable, and economical healthcare solutions.

The Centre has collaborated with KLE Tech hospital, a state-of-the-art Hospital at Belgaum, to further its research goals.

Centre for Automation and Robotics Research (CARR)

The “Centre for Automation and Robotics Research (CARR)” at KLE Tech aims to be an interdisciplinary innovation hub to develop and apply robotics and intelligent automation solutions to transform industrial resilience, agility, and productivity. The Centre focuses on two major research areas, viz:

  • AI in manufacturing

    Development of SI/ML/DL-based platforms/frameworks for the optimisation of value chain operations in the manufacturing facility in general and quality control in particular

  • Smart warehouse environment

    Frameworks and architectures for real-time analytics of process monitoring and control in a smart warehouse environment.

The Centre works with prominent industry collaborators like Dassault Systems, Omron etc.