Gaurav Singh

Gaurav is a researcher at the intersection of design, machine learning, and engineering. Originally from India and now based on the Gold Coast, he was a faculty member at Srishti Manipal Institute from 2017 to 2022. His work explores how mathematical and computational approaches can solve complex problems across disciplines.

Work with me

Singh, G., Dhari, R. S., & Javanbakht, Z. (2025). Automated detection of deformation mechanisms in re-entrant honeycomb auxetics using machine learning. International Journal of Protective Structures.

Bagalkot, N. L., Singh, G., Rath, V., Sokoler, T., & Shukla, A. (2019). ReRide: A Bike Area Network for Embodied Self-monitoring during Motorbike Commute. Proceedings of the Thirteenth International Conference on Tangible, Embedded and Embodied Interaction.

Bagalkot, N., Sokoler, T., Shaikh, R., Singh, G., Lillie, A. E., Dixit, P., Rai, A., et al. (2017). ReRide. IFIP Conference on Human-Computer Interaction.

Bagalkot, N., Sokoler, T., Shaikh, R., Singh, G., Edelbo, A., Lillie, P. D., Rai, A., et al. (2017). A Platform to Explore Interaction with Personal Data Before, During, and After Motorcycle Commuting. Conference proceedings.

Baadkar, S., Singh, G., Saraf, A., & Bagalkot, N. (2014). SnapTag: Leveraging Situated Memory to enhance self-efficacy for well-being. Proceedings of the 6th Indian Conference on Human-Computer Interaction.