2024-25 Admission started. Contact : 9188755409, 9188754399, 9746746944

Information

Email

praseetha.s.04@gmail.com

Qualification

M.Tech- Computer Science & Engineering

Yr. of Experience

6 Year
Academic/Interests/Publications

Date of Joining: 05/03/2018

Nature of Association: Regular

Areas of interests: Network Security, Machine Learning

Publication (s)

1.Praseetha S Nair, ” A survey on techniques for mitigating black hole attack in manet using AODV” Interntional journal for scientific research and development, E ISSN 2321-0613, Volume 7 Issue 11 Jan 2020

2.Praseetha S Nair, Tini Thomas, “Analysis of various machine learning models for detecting fake news”, International Research Journal of Engineering and Technology, E ISSN 2395-0056, Volume 7, Issue 7 July 2020

Workshop /Trainings attended:

  1. Innovations in Teaching learning A global Perspective
  2. Machine Learning and Deep Learning using Python
  3. Business Intelligence Application and Tools
  4. Artificial Intelligence
  5. Data Science:Unfolding Layers of Knowledge
  6. Emerging Trends in Cryptography and it’s application in Cyber Security
  7. Innovative Technologies to improve quality of teaching and learning
  8. IoT Framework Development for Agriculture Sector