Academic Portfolio

We are developing a multimodal cognitive rehabilitation solution for patients with stroke, TBI, and neurodegenerative disorders, integrating non-invasive BCI, VR, and Generative AI-powered gamified software.

We are developing an invasive Brain-Spinal Interface in collaboration with mPragati, IIT Delhi, and AIIMS spinal cord surgeons to capture motor intentions from the brain and use them to stimulate the spinal cord. Also working on a review paper on the same.

We are developing a completely enclosed Brain-Computer Interface and VR headset system designed to support children with autism. This platform utilizes a multimodal approach by integrating fNIRS, eye tracking, motor function data, and cognitive function assessments, all based on five distinct classes of datasets

We are developing a low-power, comfortable Bluetooth hand band for AI smart glasses, providing tactile gesture controls and haptic confirmations. It will use the glasses' HOST BLE for minimal power use and to seamlessly co-exist with other Bluetooth links.

We have prototyped a generative AI-powered software that generates 30-second Indian music clips based on user inputs for a specific raga and musical instrument.

We have developed a cognitive augmentation tool that uses a Sony Spatial Reality Display & Unity to create a high-fidelity 3D 'memory palace' that enhances memory by serving as an external platform for the 'method of loci' mnemonic technique, thereby reducing the cognitive load required to mentally visualize space.

This study systematically analyzes over 200 first-person testimonies of encounters with the sage Sri Ramana Maharshi to investigate reports of profound, presence-induced changes in cognition and emotion. Using a mixed-methods approach, the research identifies six consistent themes from these encounters, including the involuntary cessation of thought ("The Primacy of Silence"), an instantaneous shift to peace, and a dissolution of egoic identity. The paper concludes that these well-documented transformative experiences represent a significant anomaly that conventional neuro-centric and psychological models currently cannot adequately explain.

This research investigates the idea that mathematics is not purely abstract, but is fundamentally rooted in human cognition and metaphorical connections to everyday concepts. The study replicates previous work using computational models to analyze the semantic structure of mathematical words, confirming some findings but also revealing the limitations of current models like GloVe. The project's ultimate goal, inspired by the theories of Lakoff and Núñez, is to identify these systematic metaphorical mappings and explore better computational techniques to understand how abstract thought emerges from embodied experience.