Sunav Choudhary

Senior Research Scientist


Dr. Sunav Choudhary is a senior scientist at Adobe Research. His current research interests cover two broad areas with applications to Adobe’s Digital Experience Business – (a) User Modeling and Analytics: Sparse & Generative Modeling, Optimization, and (b) Systems for Machine Learning: Federated Learning, Scheduling.

His research projects on user modeling have been showcased at Adobe Summit Sneaks [Perfect Path, Geo-based audience targeting]. His work on sparse modeling has resulted in an enabling technology for popular generative AI features like Customer Journey Analytics with Intelligent Captions (featured in CMSWire). His research on federated personalization has been cited 750+ times, with 70+ highly influential citations, and was featured in Dev Code F1.

Sunav completed his Ph.D. in Electrical Engineering from the University of Southern California in 2016. His thesis analyzed sparse structures in signal processing inverse problems and won the USC Center for Applied Mathematical Sciences Graduate Student Prize for Excellence in Research with a substantial mathematical component [Link]. He received his B.Tech. degree in Electronics and Electrical Communication Engineering from IIT Kharagpur in 2010.

He regularly serves on the program committee for multiple AI conferences (AAAI, CVPR, ICCV, ECCV, KDD, ECML) and advises graduate students. His research has resulted in 30+ published papers and granted patents that are highly cited. Select publications are mentioned below, while Google Scholar provides a full enumeration. He can be reached via LinkedIn.


Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint

Chopra, H., Sinha, A., Choudhary, S., Rossi, R., Indela, P., Parwatala, V., Paul, S., Maiti, A. (Oct. 21, 2023)

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM)

Flow: Per-instance Personalized Federated Learning

Panchal, K., Choudhary, S., Parikh, N., Zhang, L., Guan, H. (Sep. 22, 2023)

Advances in Neural Information Processing Systems 36 (NeurIPS)

Flash: Concept Drift Adaptation in Federated Learning

Panchal, K., Choudhary, S., Mitra, S., Mukherjee, K., Sarkhel, S., Mitra, S., Guan, H. (Jul. 23, 2023)

Proceedings of the 40th International Conference on Machine Learning (ICML)

EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval

Ma, H., Zhao, H., Lin, Z., Kale, A., Wang, Z., Yu, T., Gu, J., Choudhary, S., Xie, X. (Sep. 27, 2022)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Correlated Stochastic Knapsack with a Submodular Objective

Yang, S., Khuller, S., Choudhary, S., Mitra, S., Mahadik, K. (Sep. 1, 2022)

30th Annual European Symposium on Algorithms (ESA)

Scheduling ML Training on Unreliable Spot Instances

Yang, S., Khuller, S., Choudhary, S., Mitra, S., Mahadik, K. (Feb. 7, 2022)

Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC)

Mentor Pattern Identification from Product Usage Logs

Garg, A., Kharb, A., Malviya, Y., Sagar, J., Sinha, A., Burhanuddin, I., Choudhary, S. (Mar. 20, 2019)

23rd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD)

Sparse Decomposition for Time Series Forecasting and Anomaly Detection

Choudhary, S., Hiranandani, G., Saini, S. (May. 3, 2018)

Proceedings of the 2018 SIAM International Conference on Data Mining (SDM)

An LSTM Based System for Prediction of Human Activities with Durations

Krishna, K., Jain, D., Mehta, S., Choudhary, S. (Dec. 31, 2017)

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp)

Smart Geo-fencing with Location Sensitive Product Affinity

Garg, A., Choudhary, S., Bajaj, P., Agrawal, S., Kedia, A., Agrawal, S. (Nov. 7, 2017)

25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL)