I'm fascinated by the world of cognitive neuroscience, particularly EEG-based BCI systems and neurotechnology. I enjoy diving deep into how the brain interacts with technology to create innovative solutions.
- EEG-based Brain-Computer Interfaces (BCI)
- Neurotechnology and its applications
- Machine Learning and Data Analysis in Neuroscience
- Supporting neurodiverse individuals through tailored interventions
- EEG Research Assistant at Neurolive β ERC-Funded Project
- Neurotechnology Researcher at LiquidWeb s.r.l.
- Teaching Assistant at Zen Educate
- M.Sc. Computational Cognitive Neuroscience, Goldsmiths College, University of London
- M.A. Philosophy, University of Delhi
- B.E. Electronics and Communication, Sagar Institute of Research and Technology
- Programming Languages: Python, MATLAB, Java
- Machine Learning Libraries: TensorFlow, Keras, Scikit-Learn
- EEG Analysis Tools: EEGLAB, MNE Python, BioSemi ActiveTwo
- M. Sultana, O. Jain, et al, "Evaluating Dry EEG Technology Out of the Lab," in Proceedings of the 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), St Albans, United Kingdom, 2024, pp. 752-757. doi: 10.1109/MetroXRAINE62247.2024.10797021.
- "Investigating the Effect of Emotional Stimuli on Visual Imagery Performance in EEG-Based BCI Systems" - M.Sc. Thesis
Feel free to explore my repositories and reach out if you're interested in collaborating or learning more about my work!