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Prof. K V Kadambari

Associate Professor

Department of Computer Science and Engineering

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Information

Room No: +91-870-2462740 kadambari@nitw.ac.in Bio Sketch

    Key Notes

    • Journal(s): 7
    • Conference(s): 2
    • Book Chapter(s): 1

    10

    PUBLICATIONS

    1

    PATENT

    Research Areas

    Machine Learning, Deep Learning, Computational Neuroscience
    EDUCATION QUALIFICATION
    Degree Institute Year
    Doctor of Philosophy Jawaharlal Nehru University (JNU), New Delhi 2011
    Master of Technology Andhra University College of Engineering, Visakhapatnam 2004
    Bachelor of Technology P V P Siddhartha Institute of Technology, Vijayawada 2002
    COURSES HANDLED
    Course L-T-P Credit Degree Level
    Machine Learning(CS16003) 3-0-0 3 PG
    Operating Systems(CS301) 3-0-0 3 UG
    Machine Learning( CS2204) 3-0-2 4 UG
    Operating Systems(CS1208) 3-0-0 3 UG
    Operating Systems(CS332) 3-0-0 3 UG
    Natural Language Processing(CS416) 3-0-0 3 UG
    Machine Learning(CS353) 3-0-0 3 UG
    Operating System Principles(CSM04) 3-0-0 3 UG
    Machine Learning(CS5106) 3-0-0 3 PG
    Object Oriented Programming(CS4354) 3-0-0 3 PG
    RESEARCH IDs
    ORCID
    ORC ID
    PUBLICATIONS
    Journal(s)
    Fast and robust supervised machine learning approach for classification and prediction of Parkinson’s disease onset, By LM Bollipo, Kadambari K.V, Taylor & Francis, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol.9, pp.690-706, 2021
    A novel supervised machine learning algorithm to detect Parkinson’s disease on its early stages, By LM Bollipo, Kadambari K.V, Springer, Turkish Journal of Computer and Mathematics Education , vol.12, pp.5257-5276, 2021
    CP-ABSEL: Ciphertext-policy attribute-based searchable encryption from lattice in cloud storage, By US Varri, SK Pasupuleti, K.V Kadambari, Springer, Peer-to-Peer Networking and Applications, vol.14, pp.1290-1302, 2021
    FELT-ABKS: Fog-enabled lightweight traceable attribute-based keyword search over encrypted data, By US Varri, S Kasani, SK Pasupuleti, K V Kadambari, IEEE, IEEE Internet of Things Journal, vol.9, pp.7559-7571, 2021
    A scoping review of searchable encryption schemes in cloud computing: taxonomy, methods, and recent developments, By U Varri, S Pasupuleti, K.V Kadambari, Springer, The Journal of Supercomputing, vol.76, pp.3013-3042, 2020
    Classification of ECG beats using deep belief networks and active learning, By Sayantan G, Kien PH, Kadambari K.V, Springer, Medical & Biological Engineering & Computing, vol.56, pp.1887–1898, 2018
    Neuronal model with distributed delay: analysis and simulation study for gamma distribution memory kernel, By karmeshu,Varun Gupta & Kadambari K V, Springer, Biological Cybernetics, vol.104, pp.369-383, 2011
    Conference(s)
    Real-Time Multi-Lingual Hate and Offensive Speech Detection in Social Networks Using Meta-Learning By D Prasad, KV Kadambari, R Mukati, S Singariya, TENCON, 2023
    Key-escrow free attribute-based multi-keyword search with dynamic policy update in cloud computing By US Varri, SK Pasupuleti, KV Kadambari, 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2020
    Book Chapter(s)
    Hybrid Deep Learning Model to Diagnose Covid-19 on its Early Stages Using Lung CT Images By Kadambari K V and Lavanya Madhuri Bollipo in Artificial Intelligence Technologies for Computational Biology, Taylor and Francis, Research_Editiorial, 2022
    Patent(s)
    Australian Innovation Patent (2021101567)
    PROJECT / CONSULTANCY
    RESEARCH FELLOWS / PhD STUDENTS
    CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME
    ADDITIONAL RESPONSIBILITIES
     Last updated on March 20, 2025