DeLorean Energy: The potential of Asynchronous V2G Fleets as Peak Shaving Units. - Jordan Randleman; Chris Pitterle; Pranav Rao; Arjun Chimni; Navid Shaghaghi (GHTC, 2021)

Hierarchical Learning in Euclidean Neural Networks. - Joshua A. Rackers; Pranav Rao (CoRR, 2022)

Integrating Digital Calendars with Large Language Models for Stress Management Interventions. - Pranav Rao; Sarah Yi Xu; Ananya Bhattacharjee; Yuchen Zeng; Alex Mariakakis; Joseph Jay Williams (PERSUASIVE (Adjunct), 2024)

"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions. - Ananya Bhattacharjee; Sarah Yi Xu; Pranav Rao; Yuchen Zeng; Jonah Meyerhoff; Syed Ishtiaque Ahmed; David C. Mohr; Michael Liut; Alex Mariakakis; Rachel Kornfield; Joseph Jay Williams (CoRR, 2024)

Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions. - Ananya Bhattacharjee; Sarah Yi Xu; Pranav Rao; Yuchen Zeng; Jonah Meyerhoff; Syed Ishtiaque Ahmed; David C. Mohr; Michael Liut; Alex Mariakakis; Rachel Kornfield; Joseph Jay Williams (Conference on Designing Interactive Systems, 2025)

Fitting the Message to the Moment: Designing Calendar-Aware Stress Messaging with Large Language Models. - Pranav Rao; Maryam Taj; Alex Mariakakis; Joseph Jay Williams; Ananya Bhattacharjee (CUI, 2025)

Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins. - Frédéric A. Dreyer; Jan Ludwiczak; Karolis Martinkus; Brennan Abanades; Robert G. Alberstein; Pan Kessel; Pranav Rao; Jae Hyeon Lee; Richard Bonneau; Andrew M. Watkins; Franziska Seeger (CoRR, 2025)