My name is Korani Lavina, and I am currently pursuing my undergraduate degree in Artificial Intelligence and Machine Learning. my research interests focus on neuroinformatics, brain–computer interfaces, neural signal analysis, and AI-driven healthcare technologies.
Over the past year, I have been actively working at the intersection of AI, neuroscience, and assistive technology. I also participated in Google Summer of Code exploration with the Oppia Foundation and Google DeepMind, which strengthened my interest in contributing to open scientific communities developing impactful technologies.
My current research work focuses on BCI systems and neural signal processing, and I have contributed to literature through the following review papers:
• Myoelectric Control to Biomimetic Dexterity: A Review of the State-of-the-Art in Bionic Upper-Limb Prostheses
• Cognitive Neuroscience Model for Improving Learning Cognitive Ability by Detecting the Learning Index through Brain-Computer Interface Signals
In addition, I am currently developing a research project aimed at improving accessibility for hearing-impaired individuals. The work proposes an algorithm that maps adjacent audio frequencies and multilingual speech signals into accessible patterns, enabling improved interaction with assistive hearing technologies. The algorithmic framework has been designed and is currently undergoing further validation for research publication.
Because of my strong interest in open neuroscience collaboration and neuroinformatics infrastructure,
I would be grateful for any guidance on:
• how I could begin contributing to the repository?
• beginner issues or tasks suitable for prospective GSoC contributors??
• recommended resources to better understand the Brian codebase??
I would also be happy to share my GitHub projects (including several EdTech systems) or discuss my ongoing research and conference collaboration with M.Tech students from IIT Bombay if helpful.
Thank you very much for your time and for the impactful work you are doing in advancing computational neuroscience tools.