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Centre for Machine Learning and Computational Intelligence (CMLCI)

Cmlci
Address of the Research Centre #470-P, Peenya Industrial Area, 4th Phase, Bengaluru-560058
Mission of the Research Centre The research centre shall achieve excellence in the development, optimization, and validation of machine learning and computational intelligence algorithms as solutions for problems in computer vision, image processing, biomedical, wireless networks, and other pertinent domains
Research Goals of the Centre
  • To develop, validate and apply machine learning and computational intelligence algorithms to address challenges in computer vision, image processing, wireless networks and other engineering domains characterized by large volumes of data
  • To design, simulate and develop dependable/artificial intelligent systems using computational intelligence
  • To develop mathematical and simulation models to implement the concepts of "Topic Models" and "Learning Automata" using machine learning algorithms and pattern recognition techniques
  • To optimize machine learning algorithms for effective implementation on various hardware platforms
  • To transfer technologies developed for commercialization and entrepreneurship
  • To pursue joint initiatives for collaboration and partnership with Universities, Research Centres and Industries in the development of robotic systems using computational intelligence and machine learning algorithms
  • To dessiminate knowledge on concepts of machine learning and computational intelligence
Head of the Research Centre
Name with Qualification		 Dr. Raghavendra Venkatesh Kulkarni, Ph.D.
Professor and Head, Dept. of ECE, FET
Email ID: hod.ec.et@msruas.ac.in / raghavendra.ec.et@msruas.ac.in
Mobile No.: +91 - 7259499876		 Rv kulkarni                                   
Research Groups Computational Intelligence Machine Learning and Pattern Recognition Bio-Inspired Hardware
1 Artificial Intelligence Automotive Structural Design and Validation Reconfigurable Computing for Computational Intelligence and Machine Learning
2 Dependable Systems Learning Automata
3 Algorithms and Optimisation

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