Profile Brief

Ms. Rukshani Puvanendran is working as a Lecturer in ICT at the Department of Information and Communication Technology, University of Vavuniya and he has been 5 years’ experience in teaching in IT/ICT/CS domain. Rukshani holds M. Sc in Computer science, University of Peradeniya, and B. Sc in ICT, Vavuniya Campus of the University of Jaffna, 2013-2017 (First class). She is a researcher in computer science and Information Communication Technology determined to make a significant contribution in a vibrant international research community that invent solutions to real world problems.

Educational Qualifications

• B. Sc in ICT, Vavuniya Campus of the University of Jaffna, 2013-2017 (First class)
• M. Sc in Computer science, University of Peradeniya.

Previous Academic Positions

• Assistant Lecturer (Temporary) , Department of ICT, University of Vavuniya 
• Demonstrator (Temporary) , Department of ICT, Vavuniya Campus of the University of Jaffna.

Research Supervision

Undergraduate: Prediction of intrusion in the network using machine learning, Classification of Sri Lankan road signs with neural networks

Session Coordinated

Revision for A/L ICT Students, Vadamarichi Zone, Point pedro, Northern Province, 2022

• Student Counsellor ( 3 years -2019-2022)

• Best Performance in Fourth year in Bachelor of science in ICT- 2017 (Vavuniya Campus of the University of Jaffna)

Journal Publication

• P. Rukshani, K. Sujatha, SSS Suthaharan, ‘Music Theory and its Traits in Enhancing Information Security.’, GARI Publisher , International journal of Multidisciplinary research, 2020, ISSN 2659-2193 | ISBN 978-955-7153-02-5

Publications in Local Conferences

• Suthaharan, Satkunarajah, Rukshani Puvanendran, and Vanuja Chandrakumar. “Single and Mixed Line Rate Variation for Dedicated Protection in Elastic Optical Networks.” PARTNER UNIVERSITIES (2018): 53., 2018, Colombo EdHat International

Publications in International Conferences

• Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels Using Machine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.

Teaching Interest

• Data Security,
• Programming Languages
• Computer System

Undergraduate Subjects taught

• Information Security,
• Programming Language,
• Computer Organization and Architecture
• E-Commerce
• Green Computing

Postgraduate Subject taught

• ICT for Education, M. Ed (Jaffna)