Dr. Dipti Y.Sakahre

NAME: Dr. Dipti Y.Sakahre
DESIGNATION :  Associat Professor

  • Ph.D (Electronics Engineering), BVDU, Pune, India, 2018
  • M. Tech. (Digital Systems), Maharashtra Institute of Technology, Pune, India, 2008
  • B.E.(SGGSIET), SRTMU, Nanded, Maharashtra, India ,2004


  • Dr. D.Y.Sakhare is Associate Professor in the school of Electrical Engineering. Her inter- disciplinary research interests cover signal processing, data mining and language processing.

Fore Front Area of Research: Signal Processing, NLP, Digital Systems
Email id : dysakhare@etx.mitaoe.ac.in
Contact no: 02030253500 Ext: 1181
Experience  : Teaching :13 Years

  • Departmental Best Teacher Award 2012-13

  • “Development of embedded platform for summarization algorithm”, SPPU- BCUD research Grant for the year 2013-15.


  • ISA,IET,CSI (Annual Membership for the year 2017-18 and 2018-19)
  • Life Member :ISTE,IJERIA


  • Mrs. Dipti Sakhare, Raj Kumar ,‘Syntactical Knowledge based Stemmer for Automatic Document Summarization’, CIIT international journal of data mining knowledge engineering print: ISSN 0974 – 9683 & online: ISSN 0974 – 9578,Vol. No.4, Issue No.3, March 2012, pp. 109-111, doi: dmke032012002.
  • D. Y. Sakhare, Dr.Raj Kumar, ‘Dependency Grammar Based Feature Extraction for Text Summarization’, International Journal of Engineering Science and Technology (IJEST) ISSN: 0975-5462 Vol. No. 4, Issue No. 5, May 2012, pp. 2373-2380.
  • Mrs. D. Y. Sakhare, Mr. Raj Kumar, ‘Syntactical Knowledge and Sanskrit Memamsa Principle Based Hybrid Approach for Text Summarization’, International Journal of Computer Science and Information Security (IJCSIS), Vol.No.14, Issue No. 4, April 2016, pp.301-308.
  • Sakhare D.Y., Raj Kumar, ‘Development of Embedded Platform for Sanskrit Grammar-Based Document Summarization’, In: Speech and Language Processing for Human-Machine Communications, (Advances in Intelligent Systems and Computing), Springer, vol 664, pp 41-50,2017.
  • Dipti Sakhare, Raj Kumar, ‘Neural Network based approach to study the effect of Feature Selection on Document Summarization’ (IJET), ISSN: 0975-4024, Vol. No. 5, Issue No. 3, Jun-Jul 2013, pp. 2585-2593.