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