M. Sajeewani Karunarathne received B.Sc. (Special) degree in Management and Information Technology from University of Kelaniya, Sri Lanka with a First class Honours Pass. She contributed to local IT and non-IT companies in a capacity of software engineer before she joined to Sabaragamuwa University of Sri Lanka. Currently, she is a lecturer in computer science attached to Sabaragamuwa University of Sri Lanka since 2012. She has completed Ph.D. degree in Electronic Engineering at Deakin University, Australia in 2017.

Rehabilitation Engineering,

Human Bio-kinematics,

Machine Learning,

Mobile Computing

1. Determination of Parkinson's disease based on human kinematics
2. Wearable sock development as a pain relief to leg cramps

Journal Papers

• S. Li, H. T. Pham, M. S. Karunarathne, Y. S. Lee, S. W. Ekanayake,  and P. N. Pathirana, “A mobile cloud computing framework integrating multilevel encoding for performance monitoring in telerehabilitation,” Mathematical Problems in Engineering, vol. 501, p. 617840, 2015.
• M.S. Karunarathne, L.D.J.F. Nanayakkara, KapilaPonnamperuma, “Sentence Prediction on SMS in Sinhala Language”, International Journal of Scientific and Research Publications (IJSRP), Volume 3, Issue 12, December 2013, ISSN 2250-3153
• M.S. Karunarathne, L.D.J.F. Nanayakkara,"A Prototype to identify Availability of a car in a Smart Car Park with aid of Programmable Chip and Infrared Sensors" , Journal of Emerging Trends in Computing and Information Sciences, Volume 5, Issue 2, p. 76-79, Febraury 2014

Book Chapters

• Gareth L. Williams, M. SajeewaniKarunarathne, Samitha W. Ekanayake, Pubudu N.  Pathirana, “Ambulatory Energy Expenditure Evaluation for Treadmill Exercises", Inclusive Smart Cities and e-Health. Springer International Publishing, 2015, 331-336.
• M. S. Karunarathne, N. D. Nguyen., M.P.  Menikidiwela, P. N., Pathirana,  "The study to track human arm kinematics applying solutions of Wahba's Problem upon inertial/magnetic sensors", Inclusive Smart Cities and e-Health. Springer International Publishing, 2016.

Conferences and research seminars

• S. M. Karunarahne, S. W. Ekanayake, and P. Pathirana, “An adaptive complementary filter for inertial sensor based data fusion to track upper body motion," in 2014 - 7th International Conference on Information and Automation for Sustainability (ICIAfS'14), Colombo, Sri Lanka, Dec. 2014.
• S. M. Karunarathne, S. A. Jones, S. W. Ekanayake, and P. Pathirana", Remote monitoring system enabling cloud technology upon smart phones and inertial sensors for human kinematics," in 2014 IEEE Fourth International Conference on Big Data and Cloud Computing (BDCloud 2014),, Sydney, Australia, Dec 2014, pp. 137-142. 
• M. S. Karunarathne, Saiyi Li, Samitha W. Ekanayake, Pubudu N. Pathirana, “An Adaptive Orientation Misalignment CalibrationMethod for Shoulder Movements Using InertialSensors: A Feasibility Study”, 4th International Symposium on Bioelectronics and Bioinformatics (ISBB 2015), Beijing, China
• M. S. Karunarathne, Saiyi Li, Samitha W. Ekanayake, Pubudu N. Pathirana, “ A Machine-driven Process for Human Limb Length Estimation Using Inertial Sensors”, 2015 IEEE 10th International conference on Industrial and information Systems (ICIIS 2015), Sri Lanka
• Perera, W.U.L.J.R.; Karunarathne, M.S., "Enhancing and speeding-up real-time-shopping using an indoor map, intelligent suggestions and calculations, built upon a smart phone application," Industrial and Information Systems (ICIIS), 2013 8th IEEE International Conference on , vol., no., pp.583,588, 17-20 Dec. 2013
• M.S. Karunarathne, Pubudu N. Pathirana, "A comparison for capturing arm kinematics using solutions of Wahba's problem and ordinary data fusion mechanisms", 2016 IEEE 5th International Conference on Wireless Networks and Embedded Systems (WECON), pp. 1-5, October 2016
• M. S. Karunarathne, “Segmentation of shoulder movements using inertial sensors and entropy”, International Conference on Computational Modelling & Simulation (ICCMS 2017), pp. 241-244, 17-19 May 2017