Dr Gururaj Mukarambi | Cognitive Development | Best Researcher Award

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

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

Professional Profile:

scopus

📚 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

🏢 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)

🏅 Awards and Honors:

Two Best Research Paper Awards 🏆
UGC Major Research Project Fellow 🌟

🔬 Research Focus:

Digital Image Processing 📷: Enhancing and manipulating images using algorithms to improve their quality and extract useful information.
Pattern Recognition 🔍: Identifying patterns and regularities in data, especially in visual formats, to enable automated analysis and classification.
Document Image Processing 📄: Analyzing and extracting textual and structural information from scanned or photographed documents.
Machine Learning 🤖: Developing algorithms that enable computers to learn from and make predictions based on data.
Computer Vision 👁️: Teaching computers to interpret and understand the visual world, enabling them to analyze and make decisions based on image and video data.

📚 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.

🎓 Mentorship:

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

Publications:

Text Localization and Enhancement of Mobile Camera based Complex Natural Bilingual Text Scene Images📘,

Procedia Computer Science, 2024, cited by 0.

Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at Wordlevel📗,

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

Script identification of camera based bilingual document images using SFTA features📙,

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 features📚,

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

Energy-based features for Kannada handwritten digit recognition📕,

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

Script identification of camera based bilingual document images using SFTA features📓, I

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

Camera-based Bi-lingual script identification at word level using SFTA features📄,

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

Segmentation and Text extraction from Document Images: Survey📑,

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

Script identification from camera based Tri-Lingual document📂,

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 features📋,

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

Gururaj Mukarambi | Cognitive Development | Best Researcher Award