Dr. Pranjeevan Kulasingham completed his BSc. at the Dept. of Electronic and Telecommunication Engineering in 2016, University of Moratuwa, and his PhD. at the University of Maryland, USA in 2021. His research involves using EEG and MEG to model the neural processing of speech and sound. He has also worked on EEG for hearing aid applications as a Postdoctoral Researcher at the University of Linköping, Sweden.
Education
Doctor of Philosophy, University of Maryland, College Park, USA, 2017–2021.
Bachelor of Science in Engineering, University of Moratuwa, Sri Lanka, Department of Electronic and Telecommunication Engineering, 2011–2016.
Research Interests
Biomedical signal processing, computational modelling, machine learning, measurements of brain activity, hearing and speech.
Teaching
EN2063 Signals and Systems
BM2210 Biomedical Device Design
BM2012 Modelling and Analysis of Physiological Systems
BM4152 Biosignal Processing
Journals
[1] J.P. Kulasingham, H. Innes-Brown, M. Enqvist and E. Alickovic “Level-Dependent Subcortical Electroencephalography Responses to Continuous Speech” eNeuro, 11 (8), 2024
[2] F.L. Bachmann, J.P: Kulasingham, K. Eskelund, M. Enqvist, E. Alickovic and H. Innes-Brown, “Extending Subcortical EEG Responses to Continuous Speech to the Sound-Field.” Trends in Hearing; 28, 2024
[3] J.P. Kulasingham, F.L. Bachmann, K. Eskelund, M. Enqvist, H. Innes-Brown, and E. Alickovic, “Predictors for estimating subcortical EEG responses to continuous speech,” PLOS ONE, vol. 19, no. 2, 2024
[4] J.P. Kulasingham and J.Z. Simon, “Algorithms for Estimating Time-Locked Neural Response Components in Cortical Processing of Continuous Speech”, IEEE Transactions on Biomedical Engineering, vol. 70, no. 1, pp. 88–96, 2023
[5] J.P. Kulasingham, C. Brodbeck, S. Khan, E.B. Marsh, and J.Z. Simon, “Bilaterally Reduced Rolandic Beta Band Activity in Minor Stroke Patients”, Frontiers in Neurology, vol. 13, 2022
[6] J.P. Kulasingham, N.H. Joshi, M. Rezaeizadeh, and J.Z. Simon, “Cortical Processing of Arithmetic and Simple Sentences in an Auditory Attention Task,” Journal of Neuroscience., vol. 41, no. 38, pp. 8023–8039, 2021
[7] J.P. Kulasingham, C. Brodbeck, A. Presacco, S.E. Kuchinsky, S. Anderson, and J.Z. Simon, “High gamma cortical processing of continuous speech in younger and older listeners”, NeuroImage, vol. 222, p. 117291, 2020
[8] V. Commuri, J.P. Kulasingham, and J.Z. Simon, “Cortical responses time-locked to continuous speech in the high-gamma band depend on selective attention,” Frontiers in Neuroscience, vol. 17, 2023
[9] I.M.D. Karunathilake, J.P. Kulasingham, and J.Z. Simon, “Neural tracking measures of speech intelligibility: Manipulating intelligibility while keeping acoustics unchanged,” Proceedings of the National Academy of Sciences (PNAS), vol. 120, no. 49, 2023
[10] C. Brodbeck, P. Das, M. Gillis, J.P. Kulasingham, S. Bhattasali, P. Gaston, P. Resnik, J.Z. Simon, “Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions,” eLife, vol. 12, 2023
[11] B. Soleimani, I. Dallasta, P. Das, J.P. Kulasingham, S. Girgenti, J.Z. Simon, B. Babadi and E.B. Marsh “Altered directional functional connectivity underlies post-stroke cognitive recovery,” Brain Communications, vol. 5, no. 3, 2023
[12] J.Z. Simon, V. Commuri, and J.P. Kulasingham, “Time-locked auditory cortical responses in the high-gamma band: A window into primary auditory cortex”, Frontiers in Neuroscience, vol. 16, 2022.
[13] E.B. Marsh, C. Brodbeck, R.H. Llinas, D. Mallick, J.P. Kulasingham, J.Z. Simon, and R.R. Llinás, “Poststroke acute dysexecutive syndrome, a disorder resulting from minor stroke due to disruption of network dynamics,” Proceedings of the National Academy of Sciences (PNAS), vol. 117, no. 52, 2020
Conferences
[1] J. Wilroth, J.P. Kulasingham, M.A. Skoglund, and E. Alickovic, “Direct Estimation of Linear Filters for EEG Source-Localization in a Competing-Talker Scenario,” International Federation of Automatic Control (IFAC) – PapersOnLine, vol. 56, no. 2, pp. 6510–6517, 2023
[2] B. Soleimani, P. Das, J.P. Kulasingham, J.Z. Simon, and B. Babadi, “Granger Causal Inference from Indirect Low-Dimensional Measurements with Application to MEG Functional Connectivity Analysis,” 54th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, USA, 2020
[3] J.P. Kulasingham, V. Vibujithan and A.C. De Silva, “Deep Belief Networks and Stacked Autoencoders for the P300 Guilty Knowledge Test”, IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), Malaysia, 2016.
[4] J.P. Kulasingham, V. Vibujithan, W.A.R. Kithmini, Y.V.A.C. Kumara and A.C. De Silva, “P300 Speller for Local Languages Using Support Vector Machines”, 8th International Conference on Information and Automation for Sustainability IEEE, Sri Lanka, 2016.