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Dr Gururaj Mukarambi | Cognitive Development | Best Researcher AwardĀ 

Senior Assistant Professor at Ā Central University of Karnataka, Kalaburagi,India

šŸ“š šŸŽ“ Dr. Gururaj Mukarambi completed his MCA (2008), M.Phil. (2010), and Ph.D. (2014) from Gulbarga University. šŸ“š With a rich background in academia, he has served in esteemed institutions, including the Central University of Karnataka and Symbiosis International Deemed University. šŸ–„ļø His research specializes in Digital Image Processing, Pattern Recognition, Machine Learning, and Computer Vision. šŸ† With over 42 published papers, 17 conference presentations, and 189 citations, his contributions are well-recognized. šŸ… He has received two best research paper awards and actively participates in international conferences and committees. šŸŒ Additionally, he guides students in diverse computer science courses and projects.

Professional Profile:

šŸ“š Education:

  • Ph.D. in Computer Science, Gulbarga University, 2014
  • M.Phil. in Computer Science, Gulbarga University, 2010
  • MCA (Master of Computer Applications), Gulbarga University, 2008

šŸ¢ Professional Experience:

  • Assistant Professor, Central University of Karnataka, Kadaganchi (since November 2019)
  • Assistant Professor, Symbiosis Institute of Computer Studies and Research, Pune (July 2017 – November 2019)
  • Guest Lecturer, Department of Computer Science, Gulbarga University (September 2015 – May 2017)
  • Assistant Professor (Contract), Department of Computer Science, Central University of Karnataka (May 2014 – June 2015)

šŸ… Awards and Honors:

  • Two Best Research Paper Awards šŸ†
  • UGC Major Research Project Fellow šŸŒŸ

šŸ”¬ Research Focus:

  • Digital Image Processing šŸ“·: Enhancing and manipulating images using algorithms to improve their quality and extract useful information.
  • Pattern Recognition šŸ”: Identifying patterns and regularities in data, especially in visual formats, to enable automated analysis and classification.
  • Document Image Processing šŸ“„: Analyzing and extracting textual and structural information from scanned or photographed documents.
  • Machine Learning šŸ¤–: Developing algorithms that enable computers to learn from and make predictions based on data.
  • Computer Vision šŸ‘ļø: Teaching computers to interpret and understand the visual world, enabling them to analyze and make decisions based on image and video data.

šŸ“š Teaching:

  • Courses like Digital Image Processing, Computer Vision, Data Structure, Database Management System, Operating System, Object-Oriented Analysis and Design using UML, Java Programming, Web Technology, Data Communication and Computer Networks, Internetworking, etc.

šŸŽ“ Mentorship:

  • Guided over 70 students in their Masters of Computer Applications, Bachelor of Computer Applications, and Technology project dissertations.

Publications:Ā 

Text Localization and Enhancement of Mobile Camera based Complex Natural Bilingual Text Scene ImagesšŸ“˜,

Procedia Computer Science, 2024, cited by 0.

 

Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at WordlevelšŸ“—,

Lecture Notes in Electrical Engineering, 2023, cited by 1.

 

Script identification of camera based bilingual document images using SFTA featuresšŸ“™,

Research Anthology on Bilingual and Multilingual Education, 2021, cited by 0.

 

Camera-based tri-lingual script identification at word level using a combination of SFTA and LBP featuresšŸ“š,

International Journal of Advanced Science and Technology, 2020,cited by 1.

 

Energy-based features for Kannada handwritten digit recognitionšŸ“•,

International Journal of Computational Vision and Robotics, 2020, cited by 2.

 

Script identification of camera based bilingual document images using SFTA featuresšŸ““, I

nternational Journal of Technology and Human Interaction, 2019, cited by 2.

 

Camera-based Bi-lingual script identification at word level using SFTA featuresšŸ“„,

International Journal of Recent Technology and Engineering, 2019, cited by 1.

 

Segmentation and Text extraction from Document Images: SurveyšŸ“‘,

2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, 2019, cited by 1.

 

Script identification from camera based Tri-Lingual documentšŸ“‚,

Proceedings of 2017 3rd IEEE International Conference on Sensing, Signal Processing and Security, ICSSS 2017,2017, cited by 6.

 

Word retrieval from Kannada document images using hog and morphological featuresšŸ“‹,

Communications in Computer and Information Science, 2017, cited by 0.

 

Gururaj Mukarambi | Cognitive Development | Best Researcher Award

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