Karunakara K

Professor

Name of the faculty: Dr. Karunakara K

Designation: Professor

Qualifications: B.E, M.Tech, Ph.D

Area of specialization: Computer Science and Engineering

Email id: karunakarak@ssit.edu.in

Experience in years: 35

Membership in professional bodies: MISTE

Awards/ Recognitions/ Achievements: Academics World Excellent Paper Award,Academics World International Conference, Colombo,Srilanka

Books published: 8085 Microprocessor for working professional,Microprocessor Learners’ manual ISTE, New Delhi

Details of Ph.D students Guiding/ Guided

Papers published in Journals

• Bhavani H S and Dr. Karunakara K “Otsu Multi-level Adaptive Thresholding with Deep Convolution Neural Network for Diabetic Retinopathy Segmentation and Classification” Journal of Electrical Systems 20-10s:1532-1541, ISSN 1112-5209 DOI: https://doi.org/10.52783/jes.5327 – 2024
• Pradeep Kumar KG, K Karunakara, G Thyagaraju “Detection of Diabetic Retinopathy Using Improvised Fuzzy Contextual Data Clustering Method”, Journal of Electrical Systems Volume:20, Issue 11S,Pages 499-510 – 2024
• K. Karunakara,“Dense Feature Based Face Recognition from Surveillance Video using Convolution Neural Network”, Journal of Computational Methods in Sciences and Engineering, ISSN: 1875-8983, IOS Press.
• T. Shreekumar and K. Karunakara “Hybrid dense matching features for cloud-based face recognition”,International Journal of Cloud ComputingVol. 12, No. 2-4 2023pp 399-423,https://doi.org/10.1504/IJCC.2023.130910 – 2023
• Champakamala Sundar Rao, K Karunakara, Efficient detection and classification of brain tumor using kernel based SVM for MRI, Journal of Multimedia Tools and Applications, Volume 81,Issue 5,Pages 7393-7417,Publisher Springer US – 2022
• Champakamala S, K. Karunakara, “A comprehensive review on brain tumor segmentation and classification of MRI images”, Multimedia Tools and Applications- Springer, ISSN: 17611–17643, Feb 2021.
• KG Pradeep Kumar, K Karunakara, GS Thyagaraju, Sunanda Dixit ,”Detection of diabetic retinopathy using deep mining”,Journal of IOP Conference Series: Materials Science and Engineering Volume 1022 Issue 1,Pages 12081, Publisher IOP Publishing – 2021
• KG Pradeep Kumar, K Karunakara, GS Thyagaraju, Sunanda “Dixit A Data Mining Inspired Methodology towards the Identification of Diabetic Retinopathy” Journal IOP Conference Series: Materials Science and Engineering Volume 1022 Issue 1 Pages 012082 Publisher IOP Publishing-2021
• T. Shreekumar, K. Karunakara, “Face Pose and Blur Normalization for Unconstraint Face Recognition from Video/Still Images”, International Journal of Innovative Computing and Applications, Inderscience, ISSN: 1751-648X, 2020.
• K Karunakara and T Shreekumar, An Active Appearance Model based Face Recognition from Surveillance Video. TEST Journal of Engineering and Management. ISSN: 0193-4120 Page No: 6969-6981, 2020.
• T.Shreekumar, K.Karunakara,”Hybrid Dense Matching Feature for Cloud Based Face Recognition”, International Journal of Cloud Computing, ISSN: 2043-9997, Inderscience.
• T. Shreekumar, K. Karunakara, “Identifying the Faces from Poor Quality Image / Video”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-8 Issue-12, October, 2019, pp.1346-1353.
• SreeKumar,, Karunakara K “Hybrid Dense Matching Feature for Face Recognition” International Journal of Advanced Computer Science and Applications (IJACSA) Volume 10,Issue-3,March 2019.
• K Karunakara, Face pose and illumination normalization for unconstraint face recognition from direct interview videos. International Journal of Recent Technology and Engineering (IJRTE), ISSN-2277-3878, 2019.
• T. Shreekumar, K. Karunakara,“A Video Face Recognition System with Aid of Support Vector Machine and Particle Swarm Optimization (PSO-SVM)”, Journal of Advanced Research in Dynamical and Control Systems(JARDCS),ISSN:1943-023X, 2018, vol-10, 496- 507.
• SreeKumar,, Karunakara K,Particle swarm optimization based identification of face images from video International Journal of Advanced Computational Engineering and Networking Volume-4,Issue-2,2018
• Pradeep Kumar KG, Dr.Karunakara K, and Dr.Thyagaraju G. S., “An Approach to the Detection of Retinoblastoma based on Apriori Algorithm”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), June 17, Volume 5, Issue 6, ISSN: 2321-8169, PP: 733 – 738.
• Pradeep Kumar, Karunakara K, Automated Identification diabetic retinopathy : A Survey ‘International Journal on recent and Innovation trends in computing and communication’ Volume-5 Issue 6,June 2017.
• T.Shreekumar, K.Karunakara, “Face Recognition Across Noise, Blur and Illumination using Deep Learning Neural Networks”, Lecturer Notes In Electrical Engineering, ISSN: 1876 -1100, Springer.
• Karunakara. K and Rajesh Hegde, Improved Interaction in Web-Based Cloud IDE, ‘International Journal of Innovative Technology and Exploring Engineering™ (IJITEE),Volume-4 Issue 4, September 2014.
• T.Shreekumar, K.Karunakara, “Recognizing the Faces from Surveillance Video”, Smart Innovation, Systems and Technologies, ISSN: 2190-3018, Springer, Proceedings of SCI-2020, Vasavi College of Engineering, Hyderabad.
• Karunakara. K and B.P Mallikarjuna Swamy , Graph based approach to eliminate the Background of an image International Journal for Engineering Research and Industrial Application,Vol 02, Issue 02, June, 2011.
• Karunakara. K and B.P.Mallikarjuna Swamy, Writer Identification based on offline Handwritten Document Images in Kannada language using Empirical Mode Decomposition method, International Journal of Computer Applications Volume 30– No.6, September 2011.
• Karunakara. K and B.P Mallikarjuna Swamy ,Classification of Kannada font using Hilbert-Huang transform method.International journal of Information Technology and knowledge management page 333-335, 2010.

Papers published in International conference

• T Shreekumar, K Karunakara, H Manjunath, B Ravinarayana, DR Annappa Swami, “Recognizing the Faces from Surveillance VideoSmart Computing Techniques and Applications”, Proceedings of the Fourth International Conference on Smart Computing and Informatics, Volume 1, Pages73-86, Publisher Springer Singapore – 2021
• “Edge Detection of an Image using Ensemble Bi-dimensional Empirical Mode decomposition (EBEMD”)
• A Novel approach for pose normalization and identification of a person.
• Particle swarm optimization based identification of face images from video.
• Pose and Illumination Invariant Video Face Recognition Technique: An Integrative Approach.

Papers published in National conference

• “A Novel Method of Language Identification using Non-Negative Matrix Factorization Technique.

Funded research projects

• A project proposal entitled ” Brain Tumor Segmentation and Classification of MRI images using Deep Learning Model” has received a research grant of Rs.15 Lakhs by VGST, GoK under the scheme KFIST-L1.