Dr. K.V. Kadambari

Assistant Professor

Department of Computer Science And Engineering

National Institute of Technology, Warangal - 506004, Telangana, INDIA

: kadambari@nitw.ac.in

: 9705460461

Interests: computational neuroscience, Machine learning, artificial intelligence, NeuroImaging.

Dr. Kadambari has done her PhD from school of computer and systems sciences, JNU, New Delhi in the year 2011. Her area of research was computational neuroscience. Earlier to that, she completed her M.Tech (Computer Science & Technology) from  Andhra University, Vishakhapatnam in the year 2004, and B.Tech (Computer Science & Technology) from PVP siddhartha institute of technology, Vijayawada.

Her current area of research include neuroscience, neuroinformatics, neuroimaging, machine learning and computer vision.





Course Taught Previously

  •  Machine learning, M.Tech(CSE) Ist year.
  • Object-oriented programming, B.Tech IIIrd year, open elective.
  • Ubiquitous computing, MCA IIIrd year.


Journal/conference Publication Details

AuthorTitleJournal NameVol. Page. Year.
 karmeshu,Varun Gupta & Kadambari K V 

Neuronal model with distributed delay: analysis and simulation
study for gamma distribution memory kernel

 Biological Cybernetics 104:369,383,2011
U.S.N. Raju,  K.V. Kadambari, P. Venkata Subba ReddyA new method of assessing the students using video assignmentsIEEE's Global Engineering Education Conference (EDUCON), 2015, Tallinn Estonia.

DOI: 10.1109/EDUCON.2015.7096058 Electronic ISBN: 978-1-4799-1908-6, March 18-20, 2015, 771 - 773

K. V. Kadambari, Gaurav Sonkar, Bharath M. Kumar, Devi Surya KumariStudy of New Connectivity Measure for fMRI Based Cortical Clustering

ACM's ICBBT '17 Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology, Lisbon, Portugal.

May 14-16,2017, 84-88
Sayantan G, Kien PH, Kadambari K.VClassification of ECG beats using deep belief networks and active learningMedical & Biological Engineering & Computing DOI: https://doi.org/10.1007/s11517-018-1815-2
U Varri, S Pasupuleti, K.V Kadambari

A scoping review of searchable encryption schemes in cloud computing: taxonomy, methods, and recent developments

The Journal of Supercomputing76 (4), 3013-3042 (2020)
US Varri, SK Pasupuleti, K.V KadambariKey-escrow free attribute-based multi-keyword search with dynamic policy update in cloud computing2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet  
LM Bollipo, Kadamb ari K.V

Fast and robust supervised machine learning approach for classification and prediction of Parkinson’s disease onset

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization


LM Bollipo, Kadambari K.VA novel supervised machine learning algorithm to detect Parkinson’s disease on its early stages
Turkish Journal of Computer and Mathematics Education Vol.12 No.10 (2021), 5257-5276
US Varri, SK Pasupuleti, K.V Kadambari

CP-ABSEL: Ciphertext-policy attribute-based searchable encryption from lattice in cloud storage

Peer-to-Peer Networking and Applications14 (3), 1290-1302 (2021)
K.V Kadambari, VV Nimmalapudi

Deep Learning Based Traffic Surveillance System For Missing and Suspicious Car Detection

arXiv preprint arXiv:2007.087832020

PHDs Supervised


Name of the student Year of JoiningStatus
B. Lavanya MadhuriDecember 2013submitted
V. Uma Sankara Rao (IDRBT fellowship)August 2019Ongoing
B. RajaSekharDecember 2020Ongoing



Workshop/SSTPs/Conference Organized

workshop on Recent Trends in Graph Theory and its Applications Dr. P V Subba Reddy and Dr. K V Kadambari 11-13 October,2014
13 day FDP on Machine learning and soft computing Dr. K V Kadambari and Prof. S G SanjeeviDecember 28 2015-January 9 2016
6 day FDP on Big Image data processing using Machine Learning algorithmsDr.U.S.N. Raju and Dr.K.V.KadambariDecember 11-16, 2017
Big Image Data Processing using Machine Learning Algorithms (Self Finance)Dr.U.S.N. Raju and Dr.K.V.KadambariMay 27-31, 2019
Big Image Data Processing using Machine Learning Algorithms (Self Finance) Dr.K.V.Kadambari and Dr.U.S.N. Raju

July 27-31, 2020

Recent Trends in Graph Theory and its applicationsDr.P.V. Subba Reddy and Dr.K.V Kadambari

April 8-12, 2019








Patent No.

Year of grant

Acceleration of incremental learning and decremental unlearning of Support vector machines

K. V., Kadambari; Bollipo, Lavanya Madhuri

Innovation patent




Awards and Honors


Additional Responsibility

  •  Member of women protection cell, NITW.