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Manda Rama Narasinga Rao

Manda Rama Narasinga Rao

Professor

Education

Ph. D.

M R Narasingarao is a professor in the department of Computer Science and Engineering from Visakhapatnam campus in GITAM Deemed to be University. His research interest include Machine Learning, Deep Learning and Finite Automata. He has published number of research papers in National and International Journals and Conferences. He is a reviewer of top journals in Computer Science and received number of awards in teaching and research.

Research Publications

  • Vamsidhar Talasila, M.R.Narasingarao, V.Muralimohan, “ Modified GAN with proposed feature set for Text to Image Synthesis”, International Journal of Pattern Recognition and Artificial Intelligence, Vol: 37, No:4, https://doi.org/10.1142/S0218001423540046
  • Vamsidhar Talasila, M.R.Narasingarao (2022), “ Optimized GAN for Text to Image Synthesis: Hybrid Whale Optimization Algorithm and Dragon Fly Algorithm”, Advances in Engineering Software, Vol:173, https://doi.org/10.1016/j.advengsoft.2022.103222
  • SUSMITHA UDDARAJU, G. P. SARADHI VARMA, M. R. NARASINGARAO “PREDICTION OF NAC RESPONSE IN BREAST CANCER PATIENTS USING NEURAL NETWORK”, Scalable Computing: Practice and Experience, Vol:23, Issue:4, Pg.No:211-223, DOI 10.12694/scpe.v23i4.2021
  • Vamsidhar Talasila, M.R.Narasingarao (2022). “ BI-LSTM based Encoding and GAN for Text to Image Synthesis”, Sensing and Imaging, 23(23), https://doi.org/10.1007/s11220-022-00390-6
  • Bhimanpallewar, R.N. and Narasingarao, M.R. (2022). “Evaluating the Influence of Soil and Environmental Parameters in Terms of Crop Suitability using Machine Learning”, Indian Journal of Agricultural Research, Vol:56, Issue:2.Pg.No: 208-13. DOI: 10.18805/IJARe.A-49

Expertise

  • Check Icon Formal Languages and Automata Theory, Machine Learning, Deep Learning and Applications of Machine Learning in Medical Domain

Authored Books

  • Check Icon Neurodegenerative disorder diagnosis using support vector machine and Naive bayes algorithms
  • Check Icon A Comparative Study of Feed Forward Hybrid Neuro-Computing Framework with Multilayer Perceptron Model for Prediction of Breast Cancer
  • Check Icon An Evolutionary-Based Additive Tree for Enhanced Disease Prediction
  • Check Icon Alternative approaches of Machine Learning for Agriculture Advisory System
  • Check Icon Majority Voting Algorithm for Diagnosing of Imbalanced Malaria Disease
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