Star Labs Research Centers | KLE Technological University Hubballi

Center 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.

Center 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.

Center 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).

Supercapacitors

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 Center (EVIC)

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.

Center for intelligent mobility (CIM)

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

dSPACE HIL

Quanser QCAR Research Studio

CANoe /CANalyzer

Vector HW

AUTOSAR

The Centre works with industry mentors from LTTS and NVDIA

Center for AI Research (CAIR)

Centre for AI Research (CAIR) at KLE Tech aims to develop a research community and ecosystem to build intelligent solutions in the domain of Edge AI, HPC, and Healthcare Applications. The research group working in CAIR is comprised of senior researchers, PhD scholars, post graduate students and undergraduate students. The research focus of the group is optimization of AI/ML algorithms for embedded/edge platforms, algorithms for HPC environments, AI based healthcare data analytics and applications. The research efforts of the group are towards addressing real-world challenges to provide solutions through collaborations with industries and healthcare institutions.

To support the research endeavours, the centre provides cutting-edge infrastructure and high-end computational resources, including GPUs, cloud infrastructure and DGX. These state-of-the-art resources empower the researchers to push the boundaries of AI, accelerate algorithm development, and facilitate the researchers to contribute and be in the forefront of AI advancements.

The objectives of this centre are :

To develop multi-objective optimized algorithms/models with a focus on system / architectural aspects of edge AI computing for vision-based applications.
To develop algorithms and software tools specifically designed for high-performance computing environments involving multi-core processors, accelerators (e.g., GPUs or FPGAs), and specialized HPC systems.
To develop AI-based algorithms and systems for acquiring, integrating, and analysing medical-based information to extract knowledge for healthcare applications and research.

Research Focus Areas:
- Edge AI
- High Performance Computing (HPC)
- Intelligent solution for Healthcare Applications (ISHA)

CAIR lab is spread over 6000 Sqft encompassing discussion areas, student working areas, cabins for IREF and research vertical heads. The lab provides dedicated computing facilities which include, 01 NVIDIA DGX 8 Cores, 512GB RAM, 11 Dell R4XX servers, 04 HP ZXX workstations with uninterrupted 24 x 7 power supply with networking facility.

Center 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.

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Center of Excellence in Visual Intelligence (CEVI)

Center of Excellence in Material Science (CMS)