- Remote and portable methods of eye tracking for large scale in-the-wild studies
- Relationship of eye movements to spatiotemporal attention in the context of music listening
- Deep generative models for audio and visual data
Master of Science in Computer Science, First Division, University of Delhi, India. Master Thesis: “Predicting Stock Market Indices using Recurrent Neural Network architectures”
|2014–2017||Bachelor of Science (hons.) in Computer Science, First Division, University of Delhi, India|
|Since 2022||PhD candidate, Department of Psychology, Neuroscience & Behaviour, Faculty of Science, McMaster University, Canada|
|Since 2022||Visiting Researcher, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main|
PhD candidate, Music Department, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main
|2019–2021||Computer Vision Researcher, Fitivity Inc|
Data Science Intern at Cvision.ai (now Inspektlabs)
Saxena, S., Lange, E. B., & Fink, L. (2022). Towards efficient calibration for webcam eye-tracking in online experiments. In Proceedings ETRA 2022: ACM Symposium on Eye Tracking Research and Applications (pp. 1-7). doi:10.1145/3517031.3529645.
- Music and Eye-Tracking
Tracking gaze, pupil, and blinking is important to understand attentional processes in the visual domain. For example, it has long been shown that visual-spatial attention is strongly coupled with gaze (but can be de-coupled in the case of covert ...