I'm currently a final year PhD candidate at The University of Auckland, researching deep learning techniques to recognise human emotions with smart devices. I also completed my Master of Engineering degree at the same university, investigating machine learning algorithms with wearable sensors.
My career started as an aspiring software engineer in 2016, and since then, I have worked in Sri Lanka, Singapore and New Zealand.
When I'm not in front of a computer screen, I'm probably behind a camera, playing badminton, or crossing off another item on my bucket list.
Dissanayake, V., Seneviratne, S., Rana, R., Wen, E., Kaluarachchi, T. and Nanayakkara, S., 2022. SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning. IEEE Access, 10, pp.18105-18120.
Elvitigala, D.S., Scholl, P.M., Suriyaarachchi, H., Dissanayake, V. and Nanayakkara, S., 2021, September. StressShoe: A DIY Toolkit for just-in-time Personalised Stress Interventions for Office Workers Performing Sedentary Tasks. In Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction (pp. 1-14).
Dissanayake, V., Zhang, H., Billinghurst, M. and Nanayakkara, S., 2020. Speech Emotion Recognition 'in the Wild' Using an Autoencoder. In INTERSPEECH (pp. 526-530).
Buddhika, T., Zhang, H., Chan, S.W., Dissanayake, V., Nanayakkara, S. and Zimmermann, R., 2019, March. fSense: unlocking the dimension of force for gestural interactions using smartwatch PPG sensor. In Proceedings of the 10th Augmented Human International Conference 2019 (pp. 1-5).
Chua, Y., Sridhar, P.K., Zhang, H., Dissanayake, V. and Nanayakkara, S., 2019, October. Evaluating IVR in primary school classrooms. In 2019 IEEE international symposium on mixed and augmented reality adjunct (ISMAR-Adjunct) (pp. 169-174). IEEE.