Dr. K.V. Kadambari

Assistant Professor

Department of Computer Science And Engineering

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

: kadambari@nitw.ac.in

: 8332969415

Interests: 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 works includes: learning feature templates using GANs, conversion of one musical instrument into another using GANs, finding biomarkers in depression using fMRI scans using deep belief networks, modeling language of thought using differentiable neural networks.

 Message : Never give up till you reach your goal in life.




Course Taught Previously

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

PHDs Supervised


Name of the student Year of JoiningStatus
B.Lavanya MadhuriDecember 2013Ongoing
Ajay Kumar SahooDecember 2017Ongoing



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.NRaju and Dr.K.V.KadambariDecember 11-16, 2017




Awards and Honors


Additional Responsibility

  •  Member of women protection cell, NITW.