Ashwini Naik
PhD Graduate, 2024
Computer Science
ashwinignaik@gmail.com
Bibliography
Naik, A., Johnson, A., Using Personal Situated Analytics (PSA) to Interpret Recorded Meetings, In The 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23 Adjunct), no 42, San Francisco, CA, pp. 1-3, October 29, 2023
Naik, A., Johnson, A., PSA: A Cross-Platform Framework for Situated Analytics in MR and VR, 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Sydney, Australia, October 16, 2023
Naik, A., Kenyon, R.V., Taheril, A., BergerWolf, T.Y., Ibrahim, B.A., Shinagawa, Y., Llano, D.A., V-NeuroStack: Open-source 3D time stack software for identifying patterns in neuronal data, Journal of Nueroscience Research, October 12, 2022
Naik, A.G., Kenyon, R.V., Berger-Wolf. T., Ibrahim, B., LLano, D.A., V-NeuroStack: 3-D time stacks for finding patterns in spontaneous activity of neurons in mouse brain slice, Program No. 432.09. 2019 Neuroscience Meeting Planner, Chicago, IL, Society for Neuroscience, October 21, 2019
Naik, A., HuynhNguyen, H., Jones, S., Patton, J., Kenyon, R., Virtual Slots Game for Rehabilitation Exercises, Proceedings of the IEEE 2019 Games, Entertainment, Media Conference (GEM), New Haven, CT, June 18, 2019
