Identification of fixations and saccades in eye-tracking data using adaptive threshold-based methods
The European Physical Journal Special Topics
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PhD Candidate in Artificial Intelligence · Oslo Metropolitan University
Shailendra Bhandari studies eye movements as dynamical systems, combining generative modelling, stochastic processes, and computational methods to understand and reproduce visual behaviour.
Research spans eye-tracking time series, generative models, intermittent search and Lévy processes, evolutionary computation, and quantum circuit design.
Featured milestone · NeurIPS 2026
Evolutionary foraging in grids: Intermittent search dynamics emerge in finite, depletable landscapes has been accepted at NeurIPS 2026.
Research
Four connected themes frame the current research programme, from empirical gaze data to mathematical models and computational design.
Fixations, saccades, gaze velocity, behavioural time series, and task-dependent visual dynamics.
02GANs, diffusion models, spectral representations, and evaluation of synthetic trajectories.
03Intermittent search, Lévy walks, jump-diffusion processes, and trajectory-level statistics.
04Evolutionary circuit design, robust computational structures, and quantum information.
Selected work
A selection of recent journal, conference, data, and software contributions.
View all publicationsThe European Physical Journal Special Topics
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Evolutionary modelling
Evolutionary foraging on finite, depletable landscapes, connecting agent-based simulation with stochastic descriptions of search behaviour.
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Scientific software
Open computational tools for intermittent and Lévy process classification, together with generative models of eye-gaze trajectories.
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