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Rajapakse Jagath Chandana


"Division of Chemistry & Biological Chemistry School of Phys
Korea University
Korea

Biography

Professor Rajapakse is with the School of Computer Engineering and the Director of BioInformatics Research Center. He is presently a Visiting Professor to the Department of Biological Engineering, Massachusettes Institute of Technology (MIT). He received his First Class (Hons) Bachelor degree in Electronic and Telecommunication Engineering from the University of Moratuwa (Sri Lanka). He began his post-graduate studies under the Fulbright Scholarship at University of Buffalo (USA) where he received Master and Ph.D. degrees in Electrical and Computer Engineering. Before joining NTU in 1998, he was a Visiting Fellow at the National Institute of Mental Health (USA) and a Visiting Scientist at the Max-Planck-Institute of Brain and Cognitive Sciences (Germany). 

Research Interest

Professor Rajapakse has pioneered several techniques for analysis of anatomical and functional MR images. His team was the first to develop techniques to model brain connectivity in an exploratory manner, using functional MR images. Presently, his team is investigating brain connectivity patterns underlying higher-order brain functions such as language and memory, and brain disease such as Parkinson's disease. He is also working on potential applications of brain connectivity and constrained independent component analysis (cICA) in Brain Computater Interface applications, especially in identifying different mental states and extracting features robust to inter- and intra-subject variations. 

Publications

  • Teddy SD, Quek C, Lai EK, Cinar A. PSECMAC intelligent insulin schedule for diabetic blood glucose management under nonmeal announcement. IEEE transactions on neural networks. 2010 Mar;21(3):361-80.

  • Kumar A, Lin F, Rajapakse JC. Mixed Spectrum Analysis on fMRI Time-Series. IEEE transactions on medical imaging. 2016 Jun;35(6):1555-64.

  • Rajapakse JC, Gupta S, Sui X. Fitting networks models for functional brain connectivity. InBiomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on 2017 Apr 18 (pp. 515-519). IEEE.

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