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Mukesh Patel School of Technology Management and Engineering
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Educational Qualification (highest): Ph.D.(Computer Engineering)

Area of Research: Social Network Analysis and Mining, Cyber Security, Computer Networks

Department: Computer Engineering

Basic Information:
  • Email Id: Madhura.vyawahare@nmims.edu
  • Desk (location): Faculty room 401, Cubicle-14

About (Awards, Patents, Committees):

Copyrights:
  1. Registered Copyright for the “Algorithm for Dataset Preparation for Early Detection of Nastiness and Signs of Cyberbullying Content in Online Social Media” (L-115161/2022).
  2. Registered Copyright for “Ecommerce site with Augmented Reality Features” (L-116882/2022).
  3. Registered Copyright for “Scalable Labeled Dataset for Severity Identification of Cyberbullying”(L-117381/2022).
  4. Registered Copyright for “Dataset Preparation for American Sign Language Detection”. (L-120523/2023)
  5. Registered Copyright for “Longitudinal Survey on Cyberbullying Detection and Prediction.” (L-135655/2023).
  6. Registered Copyright for “Longitudinal Survey on Fake Profile Detection.” (L-135654/2023).
  7. Registered Copyright for “Integrated Framework for Multiple Cybercrimes Detection and Prediction.” (L-136021/2023).
  8. Registered Copyright for “Fake Profile Detection Using Gender Identification” (L-135693/2023).
  9. Registered Copyright for “Cutting-edge Approaches to Cyberbullying Detection” (L-137686/2023).
Publications:

Journals

  1. 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
  2. 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

Conferences

  1. Vyawahare, Madhura Vikram, and Sharvari Govilkar. “Severity Detection of Cyberbullying in Online Social Networks Using Machine Learning.” In 2022 5th International Conference on Advances in Science and Technology (ICAST), pp. 1-6. IEEE, 2022
  2. 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
  3. 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.