Assistant Professor

Dr Hemantha Kumar Kalluri

Department of Computer Science and Engineering


  1. Machine Learning
  2. Biometrics



RVR & JC College of Engineering,


GITAM Engineering College,


University of Hyderabad,


  • 1st Apr 2017 to 30th October 2021 – Professor- VFSTR Deemed to be University
  • 1st May 2006 to 31st March 2017 – Associate Professor, VFSTR Deemed to be University
  • 23rd July 2005 to 30th Apr 2006 – Assistant Professor, Vignan’s Engineering College
  • 2nd June 2003 to 23rd July 2005 – Lecturer, RVR & JC College of Engineering

Research Interest

  • Image classification using optimized deep neural networks, i.e by reducing the number of parameters
  • Human identification using plamprint/fingerprint recognition


  • IEEE Senior Member
  • ISTE Life member


  • Image classification using regularized convolutional neural network design with dimensionality reduction modules: RCNN–DRM - Sajja, T.K., Kalluri, H.K. Journal of Ambient Intelligence and Humanized Computing, 12, 9423–9434 (2021)
  • An efficient multi-stage object-based classification to extract urban building footprints from HR satellite images, Pendyala, G.K.V.S.S.N., Kalluri, H.K., Rao, V.C. Traitement du Signal, 38(1), pp. 191–196 (2021)
  • A deep learning method for prediction of cardiovascular disease using convolutional neural network, Sajja, T.K., Kalluri, H.K.2020, Revue d'Intelligence Artificielle, 34(5), 601-606 (2020)
  • An extensive survey on traditional and deep learning-based face sketch synthesis models, Balayesu, N., Kalluri, H.K. International Journal of Information Technology, 12(3), 995-1004 (2020)
  • Classification of brain tumors using convolutional neural network over various SVM methods, Sajja, V.R., Kalluri, H.K. Ingenierie des Systemes d'Information 25(4), 489-495 (2020)
  • A crypto scheme using data obfuscation of entity detection and replacement for private cloudDasari, Y., Kalluri, H.K., Dondeti, V.2020International Journal of Safety and Security Engineering, 10(3), 417-422 (2020)
  • Color QR pattern-driven cancelable biometric fingerprint system Rachapalli, D.R., Kalluri, H.K. Ingenierie des Systemes d'Information 25(2), 245-251 (2020)
  • Two-phase palmprint identification Kalluri, H.K., Prasad, M.V.N.K., Agarwal, A., Chillarge, R.R. International Journal of Biometrics,12(4), 446-467(2020)
  • Brain Tumor Segmentation Using Fuzzy C-Means and Tumor Grade Classification Using SVMSajja, V.R., Kalluri, H.K. Lecture Notes in Networks and Systems, 105, 197-204 (2020)
  • Lung Image Classification to Identify Abnormal Cells Using Radial Basis Kernel Function of SVM, Krishna, S.T., Kalluri, H.K.2020Lecture Notes in Networks and Systems, 105, 279-285 (2020)
  • Dense DSM and DTM Point Cloud Generation Using CARTOSAT-2E Satellite Images for High-Resolution Applications Pendyala, V.S.S.N.G.K., Kalluri, H.K., Rao, C.V. Journal of the Indian Society of Remote Sensing, 47(12), 2085-2096 (2019)
  • Lung cancer detection based on CT scan images by using deep transfer learning Sajja, T.K., Devarapalli, R.M., Kalluri, H.K. Traitement du Signal, 36(4), 339-344 (2019)
  • Deep learning and transfer learning approaches for image classification Krishna, S.T., Kalluri, H.K. International Journal of Recent Technology and Engineering, 7(5), 427-432 (2019)
  • An enhanced secure, robust and efficient crypto scheme for ensuring data privacy in public cloud using obfuscation & encryption, Yakobu, D., Kalluri, H.K., Dondeti, V.Ingenierie des Systemes d'Information 24(6), 603-609 (2019)
  • Disseminating the authentication process based on secure RGVSS multi-biometric template encryption through QR code in health care informatics, Rachapalli, D.R., Kalluri, H.K. International Journal on Emerging Technologies 10(3), 370-378 (2019)
  • Comparative study of automatic urban building extraction methods from remote sensing data, Pendyala, V.S.S.N.G.K., Kalluri, H.K., Venkataraman, V.R., Rao, C.V.2019 Advances in Intelligent Systems and Computing 815, 605-611
  • Palmprint identification and verification with minimal number of features, Kalluri, H.K. International Journal of Biometrics, 10(1), 16-28 (2018)
  • Palmprint Identification Using Gabor and Wide Principal Line Features, Kalluri, H.K., Prasad, M.V.N.K. Procedia Computer Science 93, 706-712 (2016)
  • Palmprint identification and verification based on wide principal lines through dynamic ROI, Kalluri, H.K., Prasad, M.V.N.K., Agarwal, A. International Journal of Biometrics, 7(1), 1-30 (2015)
  • Dynamic ROI extraction algorithm for palmprints, Kalluri, H.K., Prasad, M.V.N.K., Agarwal, A. Lecture Notes in Computer Science, 7332 LNCS(PART 2), 217-227 (2012)
  • Palmprint identification based on wide principal lines, Kalluri, H.K., Prasad, M.V.N.K., Agarwal, A. ACM International Conference Proceeding Series, 918-924 (2012)

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