Isuru Jayarathne, Ph.D.
Postdoctoral researcher at the University of Aizu.
Currently working on Map generation using point cloud data for robotic automation.
Personal Academic Profiles:
 I. Jayarathne, M. Cohen and S. Amarakeerthi, “Person identification from EEG using various machine learning techniques with inter-hemispheric amplitude ratio,” PLOS One (paper)
 I. Jayarathne, M. Cohen and S. Amarakeerthi, “BrainID: Development of an EEG-based biometric authentication system,” 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, 2016, pp. 1-6. (paper)
 I. Jayarathne, M. Cohen and S. Amarakeerthi, “Survey of EEG-based biometric authentication,” 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST), Taichung, 2017, pp. 324-329. (paper)
 Isuru Jayarathne, Michael Cohen, Michael Frishkopf, Gregory Mulyk, “Relaxation sweet spot exploration in pantophonic musical soundscape using reinforcement learning,” Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion. ACM, 2019. (paper)
 I.Jayarathne, M. Cohen, and M.Frishkopf, and G.Mulyk, “Machine learning search for relaxation ‘sweet spot’ in a panto-phonic musical soundscape,” in Proc. of Life Engineering Symposium 2018, Aizu-Wakamatsu, Japan
 I. Jayarathne and M. Cohen, “Autoencoder-based One-class Classification,” in 326th SICE Tohoku Branch Workshop, 2019 Aizu-Wakamatsu, Japan
 I. Jayarathne, M. Cohen, and S. Amarakeerthi, “Low-Cost Line-Following and Load-Picking Robot,” in 3rd WEIE Workshop on Service Computing, 2016 Aizu-Wakamatsu, Japan