AI Research
Studying how artificial intelligence systems intersect with learning, knowledge, and human decision-making at the institutional level.
Building scalable AI research infrastructure for student-led innovation. Focused on AI literacy, educational technology, and the systems that shape how knowledge is created and shared.
My work sits at the intersection of AI systems, educational infrastructure, and student-led research. I am primarily interested in how knowledge moves - how students encounter AI without formal instruction, and how research ecosystems can be built to study and address that gap.
Studying how artificial intelligence systems intersect with learning, knowledge, and human decision-making at the institutional level.
Examining the infrastructure of digital learning and how tools shape pedagogy beyond their intended design.
Building frameworks for critically grounded AI understanding across diverse educational contexts in India.
Exploring how information is organised, surfaced, and consumed in the age of large language models.
Designing the operational and organisational scaffolding that makes sustained student-led research possible.
Understanding the conditions that allow student collectives to produce credible, policy-relevant research outputs.
The fundamental goal is straightforward: make rigorous AI research accessible to students who are not enrolled in elite institutions, and build the organisational infrastructure to sustain that work. AI literacy is not a soft skill - it is a structural condition for equitable participation in a world increasingly organised by algorithmic systems. The research Penta Minds produces is designed to surface what is invisible: the informal, undocumented ways students are learning to navigate AI without guidance, and the policy gaps that follow from that invisibility.
The long-term vision is to build scalable student research ecosystems that can operate across institutions, cities, and disciplines. Penta Minds is designed as modular educational infrastructure: a place where research methods, AI literacy resources, field evidence, and experimentation-driven learning culture can be assembled into durable public outputs.
Research is not a credential exercise. It is a commitment to sustained attention on questions that matter. The work Penta Minds undertakes is designed to be durable: structured enough to produce credible outputs, flexible enough to follow evidence wherever it leads.
Active member of the GPAI India Student Community, an international network of student researchers engaged with AI governance and policy.
Participated in the AI Grand Challenge, organised under GPAI and Inria (France), developing research on AI in Indian higher education submitted toward OECD policy frameworks.
Through this community, working alongside student researchers across India on questions of AI governance, literacy, and responsible deployment.
Active initiatives and research contributions
GPAI India Student Community - AI in Indian Higher Education
The AI Grand Challenge is an international student research competition organised under the Global Partnership on AI (GPAI) and Inria, France. Penta Minds is participating through the GPAI India Student Community, conducting original field research on how AI is understood, used, and encountered by students and faculty across Tier 1, 2, and 3 higher education institutions in India.
Investigating the informal learning of AI in Indian higher education - what students know, how they learned it, and what the gaps in formal literacy look like across institution types.
Producing a structured survey dataset, field visit observations, a Policy Brief, and an AI Literacy Toolkit - all submitted to OECD through GPAI frameworks.
This project is the founding research initiative of Penta Minds, establishing the team's credibility, methodology, and output standards.
How Learning is Happening Through AI Without Being Taught
AI as the Hidden Curriculum is the core research initiative examining how students in Indian higher education are learning to use AI tools informally - outside any structured curriculum. The central question is: what does it mean when an entire generation of students is developing AI competency through trial, error, and peer learning, without institutional acknowledgment or guidance?
To document the informal AI learning behaviours of students across institution tiers, and identify the structural gaps between student AI use and institutional AI policy.
Field surveys across 9+ institutions in Tamil Nadu, faculty interviews, institutional observation, and a nationwide online survey instrument.
Conducted as part of the AI Grand Challenge 2026 under GPAI India Student Community. Timeline follows the AI Grand Challenge research schedule above.
Modular research infrastructure built for scale