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


Journal Publications

    • Automatic COVID-19 Diagnosis System Based on Deep Convolutional Neural Networks, Krishna, S.T., Kalluri, H.K. Traitement du Signalthis link is disabled, 39(4), pp. 1203-1211, 2022
    • Multi-modal compound biometric feature set security and person authentication using cancelable 2D color barcode pattern generation technique, Rachapalli, D.R., Kalluri, H.K., International Journal of Information Technology (Singapore)this link is disabled, 14(1), pp. 201-214, 2022
    • 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)
    • 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)
    • Palmprint identification and verification with minimal number of features, Kalluri, H.K. International Journal of Biometrics, 10(1), 16-28 (2018)
    • 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)

Conference Publications

    • Static GPS Surveys Using GAGAN SBAS Receiver for HR Satellite Photogrammetric Applications, Gopala Krishna Pendyala, V.S.S.N. , Kalluri, H.K. ,Bothale, R.V. Lecture Notes in Networks and Systems, 401, pp. 305-314, 2023
    • 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)
    • 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 Using Gabor and Wide Principal Line Features, Kalluri, H.K., Prasad, M.V.N.K. Procedia Computer Science 93, 706-712 (2016)
    • 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)

Contact Details