Assistant Professor
Pursuing Ph.D., M.E. (Computer Engineering), B.E. (Computer Engineering)
Specialization: Cyber Security, Computer Networks
Academic Experience: (Number of Experience: = 14)
- Assistant Professor (Computer Engineering), Mukesh Patel School of Technology Management & Engineering, Mumbai, Professor, November 2022-Present
- Assistant Professor (Computer Engineering), Pillai College of Engineering, New Panvel, Mumbai University, Maharashtra, India. Jan 2012 to Oct 2022 (10 years 10 months)
- Lecturer (Computer Engineering) Ramrao Adik Institute of Technology, Mumbai University, Maharashtra, India. July 2007 to May 2010 (2 years 10 months).
Community/Social Services:
- Heartfulness Meditation Trainer
- Initiated no profit student body TAPAS at Pillai College of Engineering.
Journal
Publications
- Vyawahare, Madhura, and Sharvari Govilkar. "Fake profile
recognition using profanity and gender identification on online social
networks." Social Network Analysis and Mining 12, no. 1 (2022): 1-13
- Vyawahare Madhura, and Sharvari Govilkar. "Identifying
Severity of Cyberbullying Using Scalable Labeled Multi-Platform Dataset."
International Journal of Intelligent Systems and Applications in Engineering
10, no. 4 (2022): 201-210
Conference Publication:
- Vyawahare, Madhura Vikram, and Sharvari Govilkar. "Severity
Detection of Cyberbullying in Online Social Networks Using Machine
Learning." In2022 5th International Conference on Advances in
Science and Technology (ICAST), pp. 1-6. IEEE, 2022
- Vyawahare Madhura, and Madhumita Chatterjee, ‘‘Taxonomy of
Cyberbullying Detection and Prediction Techniques in Online Social Networks.”
In Data Communication and Networks, pp. 21-37. Springer, Singapore, 2020
- Vyawahare Madhura, and Madhumita Chatterjee, ‘‘Survey on Detection
and Prediction Techniques of Drive by Download Attack in OSN”, 2nd
International conference on advanced computing Technologies and Application at SVKM's
Dwarkadas J. Sanghvi College of Engineering. Springer 2020 Mumbai
Copyrights and Patents
- Copyright: Algorithm for Dataset Preparation
for Early Detection of Nastiness and Signs of Cyberbullying Content in
Online Social Media. Status: Registered, Reg. No: L-115161/2022
- Copyright: Ecommerce site with
Augmented Reality Features, Status: Registered, Reg. No: L-116882/2022
- Copyright: Scalable Labeled
Dataset for Severity Identification of Cyberbullying, Status: Registered,
Reg. No: L-117381/2022
- Registered
Copyright for "Dataset Preparation for American Sign Language Detection”. L-120523/2023
Research Collaboration and Consultancy:
- Mumbai University under Minor Research Project for the project: Application to Predict, Prevent and Detect Cyberbullying in online social networks.
Academic Profiles:
