Dr. Mansi S. Subhedar

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Dr. Mansi S. Subhedar

Faculty of Computer Engineering Department


  • Ph.D. 2019: RTMN University, Nagpur in Electronics Engineering
  • M.E. 2008: University of Mumbai, Mumbai in Electronics Engineering
  • B.E. 2004: Dr. BAMU, Aurangabad in Electronics and Telecommunication Engineering

Research and Consultancy

  • Minor Research Grant by University of Mumbai - "Multilayer Authentication system with high resistance to spoofing attacks"
  • Minor Research Grant by University of Mumbai - “3D Printer for Rapid Prototyping”
  • Minor Research Grant by University of Mumbai - Dematerialized Vehicle Documents and AntiTheft Mechanism Using Data Analytics Methods


Principles of Communication Engineering, Analog Communication, Digital Communication, Mobile Communication, Wireless Communication, Computer Communication Networks, Digital Signal Processing, Skill Lab – Python Programming, Cyber Security and Laws, Digital Forensics

Statistical Signal Processing, Next Generation Networks, Modern Digital Communication

Important Publications

  • Mansi Subhedar and Vijay Mankar, "Image Steganography using Contourlet Transform and Matrix Decomposition Techniques", Springer Multimedia Tools and Applications, Volume 78, Issue 15, pp 22155–22181, August 2019
  • Mansi Subhedar and Vijay Mankar, "Secure Image Steganography Using Framelet Transform and Bidiagonal SVD", Springer Multimedia Tools and Applications, 12th November 2019
  • Snehal Patil and Mansi Subhedar, "Optimizing MPLS Tunnel Creation Performance by Using SDN", International Conference on Soft Computing and Signal Processing, Malla Reddy College of Engineering and Technology Hyderabad, 22nd - 23rd June 2018
  • Mansi Subhedar and Vijay Mankar, "Curvelet Transform and Cover Selection for Secure Steganography", Springer International Journal of Multimedia Tools and Applications, pp. 1-24, 2017
  • Mansi Subhedar and Vijay Mankar, "Image Steganography using Redundant Discrete Wavelet Transform and QR Factorization", Elsevier International Journal Computers & Electrical Engineering, Vol. 54, 406 - 422, 2016
  • Mansi Subhedar and Vijay Mankar, "Current Status and Key Issues in Image Steganography: A Survey", Elsevier Journal of Computer Science Review, 13-14, pp. 95-113, 2014
  • Subhedar, M.S. Cover selection technique for secure transform domain image steganography. Iran J Comput Sci (2021). https://doi.org/10.1007/s42044-020-00077-9
  • Uttaran Roychowdhury and Mansi Subhedar, “Covid-19 Detection Using CNN and Decision Tree” International e-Conference on Intelligent Systems and Signal Processing (e-ISSP 2020), Springer's Advances in Intelligent Systems and Computing (AISC) series during 28th - 30th December, 2020


  • Application No. 201721031664A, Title: Neural Network Based Cover Selection to Ensure Secure Image Steganography
  • Application No. 202121052899, Title: Black Box for two-wheelers
  • Application No. 202121052142, Title: Lightweight Transform Domain Image Steganography Using 32 Bit ARM Cortex M4
  • Application No: 202221010401, Title: LED Dimming Driver Circuit Using PWM

Awards and Recognitions

  • Technical Program Committee Member – Reputed International Conferences within India and Abroad
  • Chairman and Member Syllabus Revision Committee UG and PG - University of Mumbai
  • Member, IEEE Women Empowerment Committee, IEEE WIE Bombay Section
  • Recognised UG and PG Teacher - University of Mumbai
  • PG Thesis Examiner - SPPU, Pune
  • Member, Executive Committee IETE Navi Mumbai – 2020-22
  • Hon. Secretary IETE Navi Mumbai for 2016 – 2018
  • Reviewer - Elsevier Information Processing Letters
  • Reviewer - Taylor and Francis International Journal of Computer Science and Applications
  • Reviewer - Hindawi International Journal of Computer Networks and Communications
  • Reviewer - International Journal of Next Generation Network (IJNGN)
  • Reviewer - International Journal of Experimental & Theoretical Artificial Intelligence
  • Reviewer - British Journal of Mathematics & Computer Science
  • Member, Executive Committee IETE Navi Mumbai – 2022-24
  • Hon. Secretary IETE Navi Mumbai for 2016 – 2020
  • Senior Member - IEEE – (97726851)
  • Member, India Council Industry Academia Young professionals Sub Committee
  • Vice Chair, Conference Committee IEEE Bombay Section


  • Life Member – ISTE – (LM 47921)
  • Fellow – IETE – (F 238142)
  • Member - IEEE – (97726851)
  • Life Member – IE - (M 1587972)
  • Life Member – CSI - (2010000915)
  • Member, Women In Engineering, IEEE Bombay Section

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