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SM Handles:

Educational Qualification (highest): MS, (PHD)

Area of Research: Deep Learning and Fog computing

Department: Computer Engineering

Basic Information:
  • Email Id: t.vijayetha@nmims.edu
  • Landline extension: 0546
  • Desk (location): Faculty Area, 401

About (Awards, Patents, Committees): Big Data and Hadoop Certified, Department Project Coordinator

Publications:

Journals

  1. Sumedha Bhatt, Devaj Mody, Rohan Rao, T. Vijayetha; “Implementation of IOT and Machine Learning in Hydroponics: A review”, Journal of Emerging Technologies and Innovative Research, November 2018, Volume 5, Issue 11, ISSN-2349-5162.

Books Published

  1. Fundamentals of Database Management Systems, Prof. Mahesh Mali, Vijayetha Thoday, Techknowledge Publication, ISBN :978-93-5563-169-5

Conferences

  1. Secure LSB Steganography over Modified Vigenère-AES Cipher and Modified Interrupt Key-AES Cipher, A Ajmera, SS Ghosh, T Vijayetha – 2018 IEEE Punecon, 2018
  2. Vijayetha Thoday, Manisha Tiwari; “Predictive Analytics and Insurance Industry”, International Conference on Electrical, Communication, Electronics, Instrumentation and Computing (ICECEIC) and IEEE Madras section, Jan 2019.
  3. An overview on security challenges in cloud, fog, and Edge Computing, DR Shah, DA Dhawan, V Thoday – Data Science and Security: Proceedings of IDSCS, 2022
  4. Analysing and predicting air quality in Delhi: Comparison of industrial and residential area, A Tripathy, D Vaidya, A Mishra, S Bilolikar, V Thoday – 2021 International Conference on Smart Generation Computing, Communication and Networking.
  5. Electronic Dance Music Sub-genre Classification Using Machine Learning- C Popli, A Pai, V Thoday, M Tiwari – Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2022.