Faculty & Staff
Contact
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Email
karthiikdu@gmail.com
- Websites
Mr. Karthik D U
Assistant Professor
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School/College
Faculty of Engineering and Technology
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Department
Department of Computer Science and Engineering
Karthik DU is an experienced academic professional currently pursuing a Ph.D. with a strong educational background including an M.Tech (CSE) and B.E (ISE). He has a significant total of 11.6 years in the field. His academic career includes a current role as an Assistant Professor (Grade-2) at Nitte Meenakshi Institute of Technology (NMIT), Bengaluru, for 3.1 years, and a previous tenure in the same designation at Acharya Institute of Technology (AcIT), Bengaluru. He has handled diverse subjects such as Programming in C and Data Structures, Software Engineering, Cloud Computing, and Blockchain Essentials. His professional experience also encompasses a year as a Software Engineer at CAPELLA SYSTEMS PVT LTD. Academically, he actively contributes through roles like Workshop coordinator in the Dept. of ISE, NMIT. Furthermore, he has established significant Industry Collaboration with AWS Academy and Google Cloud , boasts multiple publications including an SCI (Q1-Journal) paper, and has filed a patent related to automated plant disease detection.
Qualifications
- PhD
VTU , Pursuing
- M.TECH (CS&E)
AIT/VTU , 2014
- B E (IS&E)
CIT/VTU , 2012
Experience
Total Years of Experience11.6 years
Academic Experience- Acharya Institute of Technology – 6.9 years
- Nitte Meenakshi Institute of Technology – 3.6 years
- Capella E-system Private Limited- 1.1 year
- Cloud computing, cloud security
- Cuddapah, A., Muthusamy, N.K., Shende, V.G., Karthik, D.U., Rasal, D.J. and Karuna (2025) Navigating digital citizenship and AI surveillance in high-population countries’, in Multifaceted Uses of Cutting-Edge Technologies and Social Concerns. IGI Global, pp. 243–273. (Scopus Q3).
National Conference Papers
- Karthik D U (2014) ‘A systematic approach to cloud security using SeDas platform’, 8th International Conference on Science, Engineering and Technology (SET), Vellore, India, 6–7 May. School of Advanced Sciences, VIT University.
International Conference Papers
- Karthik D U (2015) ‘Efficient IoT-based sensor data analysis in wireless sensor network with cloud’, International Organization of Scientific Research (IOSR), 17(3), May.
- Sharma, N., Sharma, A., Karthik, D.U., Nandekar, U.P., Maddel, M. and Maranan, R (2025) ‘Sustainable cloud-based blockchain solution integrated with a supervised attention multi-scale temporal convolutional network for efficient supply chain management’, in International Conference on Inventive Computation Technologies (ICICT), 2025.
- Pandey, P., Prasad, G.M., Mayank, K., Gowda, M.M., Kumar, P.S.P. and Karthik, D.U. (2024) ‘An efficient detection of floating marine debris using deep learning techniques’, in IEEE Bangalore Humanitarian Technology Conference (B-HTC), 2024.
- Mohan Kumar, T.G., Karthik, D.U., Samarth, S.J., Rajath, R. and Niyati, V. (2023) ‘Security implications on container clouds’, in International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS), 2023.
- Mohan Kumar, T.G., Karthik, D.U., Heremath, P.S., Machado, A.S., Yalameli, A. and Shariff, L.T. (2022) ‘Self-adaptive secure mechanism for containers’, in IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 2022.
International Journal Papers
- Shastry, K.A., Mohan, S.G., Mohan Kumar, T.G., Karthik, D.U., Sushma, V. and Subashree, D. (2024) ‘Adaptive weighted diversity ensemble learning approach for fetal health classification on cardiotocography data’, IEEE Access, pp. 190690–190710. Impact factor: 5.31. (Q1 Journal).
- Shastry, K.A., Manjunatha, B.A., Mohan Kumar, T.G. and Karthik, D.U. (2023) ‘Generative adversarial networks-based scene generation on Indian driving dataset’, Journal of ICT Research and Applications, 17(2), pp. 181–200.
- Shastry, K.A., Akshatha, G.C., Naresh, E., Karthik, D.U. and Mohan Kumar, T.G. (2024) ‘A framework for spam toxicity level detection using machine learning models’, International Journal of Intelligent Systems and Applications in Engineering, 12(3), pp. 2626–2634. (Q3 Journal).
- MISTE, IAENG
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