AP Dr. S.M. Namal Arosha Senanayake

Associate Professor
nb.ude.dbu@ekayananes.ahsora

Portfolio

Educational Qualifications: MEng, PhD,

Research Interests

  • Intelligent Healthcare Systems.
  • Wireless Sensor Integration and Fusion.
  • Motion Capture and Reconstruction.
  • Brain Machine Interface.
  • Virtual Interfacing Technologies.

Teaching

  • SS4301 - Software Engineering
  • SS4306 - Science of Multimedia

Research publications

  • Malik, O. A. & Senanayake, S. M. N. A. An interval type-2 fuzzy logic based classification model for testing single-leg balance performance of athletes after knee surgery. Advances in Intelligent Systems and Computing 392, (Springer International Publishing, 2016).

  • Malik, O. A., Arosha Senanayake, S. M. N. & Zaheer, D. A Multisensor Integration-Based Complementary Tool for Monitoring Recovery Progress of Anterior Cruciate Ligament-Reconstructed Subjects. IEEE/ASME Trans. Mechatronics 20, 2328–2339 (2015).

  • Malik, O. A., Senanayake, S. M. N. A. & Zaheer, D. An intelligent recovery progress evaluation system for ACL reconstructed subjects using integrated 3-D kinematics and EMG features. IEEE J. Biomed. Heal. informatics 19, 453–63 (2015).

  • Arosha Senanayake, S. M. N., Malik, O. A., Iskandar, P. M. & Zaheer, D. A knowledge-based intelligent framework for anterior cruciate ligament rehabilitation monitoring. Appl. Soft Comput. 20, 127–141 (2014).

  • Malik, O. A., Senanayake, S. M. N. A. & Zaheer, D. An adaptive interval type-2 fuzzy logic framework for classification of gait patterns of anterior cruciate ligament reconstructed subjects. in 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 1068–1075 (IEEE, 2014). doi:10.1109/FUZZ-IEEE.2014.6891721