Recognised as a Gold Reviewer (top reviewer) for ICML 2026, receiving complimentary conference registration.
Poster Presentation at ICML 2026
To present a spotlight (<5% accepted) position paper advocating for a better future of graph condensation.
Best Poster Award at LoG New Delhi
Received the Best Poster Award (chosen by audience vote) at LoG Meet New Delhi.
Spotlight presentation of Bonsai at LoG Meet New Delhi
The Learning on Graphs Meetup organized by Mastercard AI Garage, Tiger Graph, and Yardi School of AI invited me to present Bonsai as both a poster and a spotlight talk.
Invited Talk at Hasso Plattner Institut • Universität Pottsdam: "Scalable GNNs"
Exploring the challenges of graph distillation and scalable GNN training. I presented our latest work on how computation tree selection can enable efficient, model-agnostic dataset compression methods.
Attended AI4MAT workshop at ICLR 2025
Attended the AI for Materials Workshop at ICLR 2025 and engaged with top researchers working on cutting edge research at the intersection of graph machine learning and materials sciences.
Poster Presentation at ICLR 2025
I presented Bonsai, our latest work on computation tree selection to enable GPU-free, model-agnostic dataset condensation.
Google Deepmind Research Week
Invited to attend and interact at the Google Deepmind Research Week 2025.
ACM ARCS 2025 and the ACM India Annual Event
Invited to present Mirage at ACM ARCS 2025 and interact with other researchers at the ACM India Annual Event.
Invited to present Mirage at ACM CODS-COMAD
Invited to present Mirage at the ACM CODS-COMAD conference in Jodhpur, India.
Amazon Research Days: Invited to present Mirage
I was invited to present Mirage at Amazon Research Days, Amazon India's flagship research interaction event
Fellowship Awarded: Vijaylakshmi and TKA Iyer Fellowship
Thrilled to announce that I have received a 1-year fellowship to support my PhD study for excellent research.
Poster presentation at ICLR 2024
Presented Mirage, a method that utilizes frequency patterns present in the computation trees of graph databases to find a small subset of the dataset to train on making training extremely efficient on both memory and time axes.
Amazon Research Days: Invited to present Frigate
I was invited to present Frigate at Amazon Research Days, Amazon India's flagship research interaction event
Audience Appreciation Award for YouTube Presentation: KDD 2023
Thrilled to announce that I have received the Audience Appreciation Award for excellent YouTube presentation accompanying Frigate awarded by KDD 2023. The award included a prize money of USD 1000.
Paper Accepted: KDD 2023
Our collaborative work Frigate on "Spatio-temporal Forecasting on Road Networks from Partial Data" has been accepted for poster presentation.
Interested in a talk?
I am available for virtual seminars, conference panels, and guest lectures on the topics of digital curation and AI ethics.