Elnur Imamaliyev (He/Him)
Pre-Doctoral Fellow · MPI for Human Cognitive and Brain Sciences
HCI and NeuroAI researcher with an MSc in Computational Neuroscience, currently a Pre-Doctoral Fellow at the Max Planck Institute for Human Cognitive and Brain Sciences. His research spans HCI, XR, and ML, with a focus on human augmentation and intelligent systems.
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Elnur is an HCI researcher with an MSc in Computational Neuroscience, skilled in Python, MATLAB, and C#. His background spans BCI and XR systems, with a current focus on applying cognitive systems and physiological sensing to human augmentation across HCI and AI/ML.
He co-authored an ACM CHI 2026 main conference paper based on an extension of his master's thesis prototype — NeurodaptiXR — using physiological responses (eye-tracker + EEG) to mitigate the Midas Touch problem in Mixed Reality via "neural clicking" based on slow anticipatory cortical potentials (SPNs).
His earlier cognitive modeling work includes the AMBI4NS project (poster at Munich Brain Day 2025) and the COUPLECCINO project (poster at Interdisciplinary College (IK), 2025).
All projects and open-source code for replication are available on his GitHub.