Dr. Muralikrishna SN

Assistant Professor Senior, Computer Science & Engineering
Manipal Institute of Technology, Manipal

Personal Information

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Name: Dr. Muralikrishna SN

Email: murali.sn@manipal.edu

Phone: +91 900 851 0021

Education

  • Postdoctoral study at MIP Lab, Chosun University, South Korea.
  • Ph.D. in Computer Science and Engineering, Mar 2021, Manipal University
  • M.Tech in Computer Science and Technology, July 2008, University of Mysore
  • M.Sc. in Computer Science, July 2005, Mangalore University
  • B.Sc. in Physics, Mathematics and Computer Science, July 2003, Mangalore University

Areas of Interest

Computer Vision, Medical Image Processing, Machine Learning, and Natural Language Processing

Research Groups

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Teaching

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Collaborations

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Journal Publications

  • S. N. Muralikrishna, R. Ganiga, R. K. Raghavendra, and K. Raghurama Holla, "Medical Named Entity Recognition for Enhanced Electronic Health Record Maintenance," International Journal of Advanced Computer Science and Applications, vol. 16, no. 3, Jan. 2025. DOI: 10.14569/IJACSA.2025.0160383.
  • S. N. Muralikrishna, R. Holla, N. Harivinod, and R. Ganiga, "Cross-Lingual Short-Text Semantic Similarity for Kannada–English Language Pair," Computers, vol. 13, no. 9, p. 236, 2024.
  • S. R. Aithal, S. N. Muralikrishna, R. Ganiga, A. Rao, and G. Hegde, "KannadaLex: A lexical database with psycholinguistic information," ACM Transactions on Asian and Low-Resource Language Information Processing, vol. 23, no. 2, pp. 1-22, Jun. 2024. doi: 10.1145/3670688
  • R. Ganiga, S. N. Muralikrishna, W. Choi, and S. Pan, "ResNet1D-Based Personal Identification with Multi-Session Surface Electromyography for Electronic Health Record Integration," Sensors, vol. 24, no. 10, pp. 3140, 2024.
  • B. S. Baliga, R. Medepalli, and S. N. Muralikrishna, "Securing textual and image data on cloud using searchable encryption," International Journal of Information Technology, vol. 13, no. 3, pp. 1111-1117, 2021.
  • K. K. Todi, S. N. Muralikrishna, and B. A. Rao, "Sentiment classification of review data using sentence significance score optimisation," International Journal of Data Analysis Techniques and Strategies, vol. 13, no. 1-2, pp. 59-71, 2021.
  • S. N. Muralikrishna, B. Muniyal, U. D. Acharya, and R. Holla, "Enhanced human action recognition using fusion of skeletal joint dynamics and structural features," Journal of Robotics, vol. 2020, pp. 1-16, 2020.
  • S. N. Muralikrishna, B. Muniyal, and U. D. Acharya, "Adaptive cluster based model for fast video background subtraction," International Journal of Advanced Computer Science and Applications, vol. 10, no. 12, pp. 689-696, 2019.
  • S. Angle, B. A. Rao, and S. N. Muralikrishna, "Kannada morpheme segmentation using machine learning," International Journal of Engineering & Technology, vol. 7, no. 31, pp. 45-49, 2018.
  • S. Atmakuri, B. Shahi, B. A. Rao, and S. N. Muralikrishna, "A comparison of features for POS tagging in Kannada," International Journal of Engineering & Technology, vol. 7, no. 4, pp. 2418-2421, 2018.
  • K. V. Prema, N. M. Agarwal, M. Krishna, and V. Agarwal, "Stock market prediction using neuro-genetic model," Indian Journal of Science and Technology, vol. 8, no. 35, pp. 1-9, 2015.

Conference Publications

  • P. Shetty, V. S. Shrishma Rao, and S. N. Muralikrishna, "Assessing Bias in Large Language Models: A Comparative Study of ChatGPT, Gemini, and Claude," in Proc. IEEE Int. Conf. Modeling, Simulation and Intelligent Computing (MoSICom), 2024, pp. 133–137.
  • A. V. Jha, S. R. R. Bommu, V. S. Shrishma Rao, and S. Muralikrishna, "Soft Actor-Critic Algorithm in High-Dimensional Continuous Control Tasks," in Proc. IEEE Int. Conf. Modeling, Simulation and Intelligent Computing (MoSICom), 2024, pp. 535–540.
  • P. P. Teggi, N. Harivinod, and S. N. Muralikrishna, "Assessing Variations in Water Quality Parameters: An Analysis of Variance Study for Environmental Monitoring," in Proc. 8th IEEE Int. Conf. Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), 2024, pp. 84–89.
  • S. Hebbar, S. N. Muralikrishna, M. Supriya, V. G. Narendra, L. Sobha, and others, "Named Entity Recognition Using BERT Model for Kannada Language," in Proc. 2023 Int. Conf. Recent Advances in Information Technology for Sustainable Development (ICRAIS), pp. 212-216, 2023.
  • D. Verma and S. N. Muralikrishna, "Semantic similarity between short paragraphs using Deep Learning," in Proc. 2020 IEEE Int. Conf. Electronics, Computing and Communication Technologies (CONECCT), pp. 1-5, 2020.
  • F. Faruqi and S. N. Muralikrishna, "Eigen-Based offline handwritten digit recognition using Multi-layer perceptron," Manipal J. Sci. Tech., vol. 2, no. 2, pp. 40-45, 2017.
  • S. N. Muralikrishna, B. Muniyal, and D. U. Acharya, "A survey of image descriptors," 2017.
  • B. A. Rao, C. Murali Krishna, and A. Nayak, "Document Preparation For Engineering Education: A Case Study using LaTeX," 2016.
  • B. A. Rao, S. N. Muralikrishna, and A. Nayak, "Developing a dependency treebank for Kannada," Research Cell: An International Journal of Engineering Sciences, vol. 15, pp. 5-7, 2015.
  • S. N. Muralikrishna, M. Ajith, and K. B. Ajitha Shenoy, "MSB Based New Hybrid Image Compression Technique for Wireless Transmission," Advances in Computing and Information Technology, pp. 749-756, Springer Berlin Heidelberg, 2013.
  • V. Gupta and S. N. MuraliKrishna, "A Fast and Novel Approach for 4D (3D+ T) Cardiac MR Image Segmentation," Computer Vision and Information Technology: Advances and Applications, pp. 257, 2010.

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