SCSVMV Deemed to be University

श्रीचन्द्रशेखरेन्द्रसरस्वतीविश्वमहाविद्यालयः
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya

Mrs.S.E.Viswapriya

Mrs.S.E.Viswapriya

Qualification
B.E CSE, M.E CSE, Pursuing PhD

Area of Interest
Big Data Analytics
Machine Learning
Deep Learning
Image Processing

Course taught:
Data Structures and Algorithms
Object Oriented Programming Using C++
Operating Systems
Dot Net Technologies
Basic Computer Science and Engineering
E-Commerce
Design and analysis of Algorithms
Computer Organization and Architecture
Interactive Computer Graphics
Mobile Computing
Big Data Analytics
Artificial Intelligence
Project Work

1.Published a paper entitled on Sdn Based Packet Injection Attack Prevention in Cloud Environments in International Journal of Computer Science and Mobile Computing.
2.Published a paper entitled on Vehicle Price Prediction using SVM Techniques in International Journal of Innovative Technology and Exploring Engineering (IJITEE), June 2020(SCOPUS).
3.Published a paper entitled on Smart Street Lights in International Journal of Computer Science and Mobile Computing.
4.Published a paper entitled on Survey on Predicting Performance of An Employee using Data Mining Techniques in International Journal of Engineering Research & Technology (IJERT),2019.
5.Published a paper entitled on A Machine-Learning Approach for Driver-Drowsiness Detection based on Eye-State in IJERT, 2021.
6.Published a paper entitled on Lane Detection Using Computer Vision for Self-Driving Cars in International Journal of Computer Science and Mobile Computing, 2020.
7.Published a paper entitled on Detecting Hate Speech and Offensive Language on Twitter using Machine Learning in International Journal of Computer Science and Mobile Computing, 2020.
8.Published a paper entitled on IOT Security Vulnerabilities and Predictive Signal Jamming Attack Analysis in LoRaWAN in International Journal of Computer Science and Mobile Computing, 2020.
9.Published a paper entitled on Product Research Analysis and Recommondatations in International Research And Journal of Engineering And Technology, 2020.
10.Published a paper entitled on Analyzing an Imbalanced Stroke Prediction Dataset Using Machine Learning Techniques in Karbala International Journal of Modern Science indexed in Q2 Scopus, 2024

Conferences

1.Presented a Paper “A Systematic Method of Stroke Prediction Model based on Big Data and Machine Learning” 2nd International Conference on Smart Technologies, Communication and Robotics 2022 (STCR – 2022). During 10th-11th December 2022
2.Presented a Paper “Application of Bayes Rule for Precise Analysis of Class-Imbalanced Stroke Data” 3rd International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES 2023). During 14th-15th December 2023
3.Participated in National Conference on “Applications of Data Mining in National Security” organized by the Department of Computer Science and Application, SCSVMV University at Kanchipuram 30 &31 August 2010
4.Participated in National Conference on “Network and Distributed System Security” organized by Department of Computer Science And Engineering, SCSVMV University at Kanchipuram on 20 & 21 January 2011

Seminar

FDP

Conferences

Other Training Programs

Workshops

06

05

04

05

06

Responsibilities:

1. Coordinating various Socio – Cultural Activities at department and Institution Level.
2. Coordinating and attended various workshops, distinguished lectures, seminars and International / National conferences at department and institution level.

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