Mrs. S.M.N.S.K. Seneviratne
B.Sc. (Honors) Mathematics (University of Peradeniya, Sri Lanka), M.A. (Mathematics) (University of North Carolina at Greensboro, USA))
Lecturer (Probationary)
Dept. of Mathematics
- Room No. 338, 3rd Floor, Science & Technology Building, Central Campus, Nawala, Nugegoda
- +94112881443 Ext: 3403
- smnse@ou.ac.lk, sandamaleesen@gmail.com
Optimization, Fuzzy set theory
- Temporary Tutor in Mathematics , Department of Mathematics, Faculty of Science, University of Peradeniya, Sri Lanka. (08/11/2011 – 15/08/2012)
- Temporary Tutor in Mathematics , Department of Mathematics, Faculty of Science, University of Peradeniya, Sri Lanka. (15/10/2012-20/12/2012)
- Temporary Lecturer in Mathematics , Department of Mathematics, Faculty of Science, University of Peradeniya, Sri Lanka. (18/02/2013- 15/12/2013)
- Temporary Instructor in Mathematics , Department of Engineering Mathematics, Faculty of Engineering, University of Peradeniya, Sri Lanka. (06/01/2014 – 31/12/2015)
- Temporary Instructor in Mathematics , Department of Engineering Mathematics, Faculty of Engineering, University of Peradeniya, Sri Lanka. (07/01/2016 – 06/07/2016)
- Graduate Teaching Assistant , Department of Mathematics and Statistics, University of North Carolina at Greensboro, USA. (22/08/ 2016 – 10/05/2017)
- Graduate Teaching Assistant , Department of Mathematics and Statistics, University of North Carolina at Greensboro, USA. (18/05/ 2017 – 21/06/2017)
- Graduate Teaching Assistant , Department of Mathematics and Statistics, University of North Carolina at Greensboro, USA. (15/08/ 2017 – 03/05/2018)
- Temporary Demonstrator in Mathematics, , Department of Mathematics, Open University of Sri Lanka, Kandy regional center. (01/04/2019- 29/02/2020)
- Visiting Lecturer in Mathematics, ANC Education, Kandy. (09/09/2019 – 11/10/2020)
- Lecturer in Mathematics, , SLTC Research University, Sri Lanka. (02/03/202 – 31/12/2021)
ADU5300 – Linear Programming
ADU3200 – Applied Calculus I
ADU5320 – Introduction to MATLAB software
- Seneviratne, S.M.N.S.K., Daundasekera,W.B. and Obeysekera, J. Fuzzy Mathematical Modeling in Agriculture Planning , In: Advances in Environmental Research, Chapter 5, Ed. Justin A. Daniels , Nova Science Publishers, Inc. New York, 2016 , Volume 46: 85113.
- Seneviratne, S.M.N.S.K., Daundasekera,W.B.,(2013), Use of Zimmermann MultiObjective Fuzzy Linear Programming model to identify best areas of rice growing in theDry and Intermediate zones in Sri Lanka, IJRIT International Journal of Research in Information Technology, Vol. 1 (1): 34-41.
- Seneviratne, S.M.N.S.K., Daundasekera,W.B.,(2015) , Effectiveness of the Multi Objective Linear Programming Model under Two Fuzzy Environments , IJRIT International Journal of Research in Information Technology, Vol. 3(5) : 205-209.
- Seneviratne, S.M.N.S.K., Daundasekera,W.B.,(2015) ,Effectiveness of the Fuzzy Multi Objective Programming with linear membership function and non linear membership functions, IJRIT International Journal of Research in Information Technology, Vol. 3(8) : 31-38.
- Seneviratne, S.M.N.S.K., Daundasekera,W.B.,(2016), Multi Objective Optimization in a Fuzzy Environment with Applications, 8th International Perspective on Water Resources and the Environment American Society of Civil Engineers /Environmental and Water Resources Institute January 4-6, 2016, Colombo, Sri Lanka, IPWE2016/239.
- Seneviratne, S.M.N.S.K., Daundasekera,W.B.,(2011) ,Applicability of Zimmermann MultiObjective Fuzzy Linear Programming (MOFLP) model under large vagueness, Proceedings of the Peradeniya University Research Sessions, Sri Lanka, Vol. 16:132.
- Seneviratne, S.M.N.S.K., Daundasekera,W.B.,(2014) ,Effectiveness of the Multi Objective Linear Programming Model Under Two Fuzzy Environments, Proceedings of the Peradeniya University International Research Sessions,Vol.18:404 .
- Seneviratne, S.M.N.S.K., Daundasekera,W.B.,(2014), Applicability of Zimmermann MultiObjective Fuzzy Linear Programming (MOFLP) model under a condition of large vagueness, Conference proceedings-International forum for Mathematical Modelling, pp. 82.
