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
Courses
UG:
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
PG:
Statistical Signal Processing
Next Generation Networks
Modern Digital Communication
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
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
Patents
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