Using Public Data to Predict Demand for Mobile Health Clinics. - Haipeng Chen 001; Susobhan Ghosh; Gregory Fan; Nikhil Behari; Arpita Biswas; Mollie Williams; Nancy E. Oriol; Milind Tambe (AAAI, 2022)

Micronutrient Deficiency Prediction via Publicly Available Satellite Data. - Elizabeth Bondi; Haipeng Chen 001; Christopher D. Golden; Nikhil Behari; Milind Tambe (AAAI, 2022)

Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. - Snehalkumar (Neil) S. Gaikwad; Shankar Iyer; Dalton D. Lunga; Takahiro Yabe; Xiaofan Liang; Bhavani Ananthabhotla; Nikhil Behari; Sreelekha Guggilam; Guanghua Chi (KDD, 2022)

ORCa: Glossy Objects as Radiance-Field Cameras. - Kushagra Tiwary; Akshat Dave; Nikhil Behari; Tzofi Klinghoffer; Ashok Veeraraghavan; Ramesh Raskar (CVPR, 2023)

DISeR: Designing Imaging Systems with Reinforcement Learning. - Tzofi Klinghoffer; Kushagra Tiwary; Nikhil Behari; Bhavya Agrawalla; Ramesh Raskar (ICCV, 2023)

Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats. - Lucia Gordon; Nikhil Behari; Samuel Collier; Elizabeth Bondi-Kelly; Jackson A. Killian; Catherine Ressijac; Peter Boucher; Andrew Davies; Milind Tambe (IJCAI, 2023)

Predicting micronutrient deficiency with publicly available satellite data. - Elizabeth Bondi-Kelly; Haipeng Chen 001; Christopher D. Golden; Nikhil Behari; Milind Tambe (AI Mag., 2023)

Towards Zero Shot Learning in Restless Multi-armed Bandits. - Yunfan Zhao; Nikhil Behari; Edward Hughes 001; Edwin Zhang; Dheeraj Nagaraj; Karl Tuyls; Aparna Taneja; Milind Tambe (AAMAS, 2024)

SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition. - Nikhil Behari; Akshat Dave; Kushagra Tiwary; William Yang; Ramesh Raskar (CVPR Workshops, 2024)

Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. - Yunfan Zhao; Nikhil Behari; Edward Hughes 001; Edwin Zhang; Dheeraj Nagaraj; Karl Tuyls; Aparna Taneja; Milind Tambe (IJCAI, 2024)

A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. - Nikhil Behari; Edwin Zhang; Yunfan Zhao; Aparna Taneja; Dheeraj Nagaraj; Milind Tambe (NeurIPS, 2024)

Edulyze: Learning Analytics for Real-World Classrooms at Scale. - Prasoon Patidar; Tricia Ngoon; Neeharika Vogety; Nikhil Behari; Chris Harrison 001; John Zimmerman; Amy Ogan; Yuvraj Agarwal (J. Learn. Anal., 2024)

Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB. - Nikhil Behari; Aaron Young; Siddharth Somasundaram; Tzofi Klinghoffer; Akshat Dave; Ramesh Raskar (CVPR, 2025)

Task-Driven Implicit Representations for Automated Design of LiDAR Systems. - Nikhil Behari; Aaron Young; Akshat Dave; Ramesh Raskar (CoRR, 2025)