Vipula Dissanayake

PhD Candidate

Vipula is a PhD candidate at the Augmented Human Lab, University of Auckland. He has completed his masters of engineering degree in bioengineering from the University of Auckland in 2019 and his bachelor’s degree in computer science and engineering from the University of Moratuwa in 2016.
After graduation, he has worked in a software company for one year of design and implementing intelligent software solutions for a travel domain. With an interest in exploring technologies, he had decided to join the Augmented Human Lab.

Apart from his interest in technology, he enjoys traveling and photography, and badminton.


Dissanayake V., Tang V., Elvitigala D.S., Wen E., Wu M., Nanayakkara S.C. 2022. Troi: Towards Understanding Users Perspectives to Mobile Automatic Emotion Recognition System in Their Natural Setting. In Proceedings of the 24th International Conference on Mobile Human-Computer Interaction.

Dissanayake, V., Seneviratne, S., Rana, R., Wen, E., Kaluarachchi, T., Nanayakkara, S.C., (2022). SigRep: Towards Robust Wearable Emotion Recognition with Contrastive Representation Learning. IEEE Access

Dissanayake V., Seneviratne S., Suriyaarachchi H., Wen E., Nanayakkara S.C. 2022. Self-supervised Representation Fusion for Speech and Wearable Based Emotion Recognition. In Proceedings of Interspeech 2022

Elvitigala, D.S., Scholl, P.M., Suriyaarachchi, H., Dissanayake, V. and Nanayakkara, S.C., 2021. StressShoe: A DIY Toolkit for just-in-time Personalised Stress Interventions for Office Workers Performing Sedentary Tasks. In MobileHCI ’21: The ACM International Conference on Mobile Human-Computer Interaction, September 27–30, 2021, Touluse, France. Honorable Mention Award!

Dissanayake, V., Zhang, H., Billinghurst, M. and Nanayakkara, S.C., 2020. Speech Emotion Recognition ‘in the wild' using an Autoencoder. Proc. Interspeech 2020, pp.526-530.

Buddhika, T., Zhang, H., Chan, S. W. T., Dissanayake, V., Nanayakkara, S.C. 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.C., 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.

Dissanayake, V., Elvitigala, D.S., Zhang, H., Weerasinghe, C. and Nanayakkara, S.C., 2019, November. CompRate: Power Efficient Heart Rate and Heart Rate Variability Monitoring on Smart Wearables. In 25th ACM Symposium on Virtual Reality Software and Technology (pp. 1-8).

Elvitigala, D.S., Matthies, D.J., Dissanayaka, V., Weerasinghe, C. and Nanayakkara, S.C., 2019, March. 2bit-TactileHand: Evaluating Tactons for On-Body Vibrotactile Displays on the Hand and Wrist. In Proceedings of the 10th Augmented Human International Conference 2019 (pp. 1-8).