Saayan Mitra

Sr. Research Scientist

San Jose

Saayan is a researcher in BigData Experience Lab in Adobe Research. His current research work focuses on how contextual data can be used effectively for recommendations and advertising. He is also involved in a number of projects where AI is used to extract meaningful information from Videos. In the past, he has worked on multiple projects involving media formats, streaming and content protection. He received his PhD from Iowa State University in 2009, and has been a member of Adobe Research since then.

Publications

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)

Towards Preserving Server-Side Privacy of On-Device Models

Atrey, A., Sinha, R., Sarkhel, S., Mitra, S., Arbour, D., Maharaj, A., Shenoy, P. (Apr. 25, 2022)

The Web Conference

BOhance: Bayesian Optimization for Content Enhancement

Mittal, T., Swaminathan, V., Sarkhel, S., Sinha, R., Arbour, D., Mitra, S., Manocha, D. (Nov. 1, 2021)

IEEE International Symposium on Multimedia (ISM)

A Scalable Data Augmentation and Training Pipeline for Logo Detection

Guo, H., Swaminathan, V., Mitra, S. (Dec. 11, 2019)

Best Paper Award

IEEE ISM 2019

Scalable Bid Landscape Forecasting in Real-time Bidding

Ghosh, A., Mitra, S., Sarkhel, S., Xie, J., Wu, G., Swaminathan, V. (Sep. 16, 2019)

ECML-PKDD 2019

Training Streaming Factorization Machines with Alternating Least Squares

Mao, X., Mitra, S., Li, S. (Jul. 29, 2019)

ACM SIGIR 2019

Content-Based Effectiveness Prediction of Video Advertisements

Lou, Q., Sarkhel, S., Mitra, S., Swaminathan, V. (Dec. 10, 2018)

IEEE ISM 2018

Personalized Video Recommendations for Shared Accounts

Yang, S., Sarkhel, S., Mitra, S., Swaminathan, V. (Dec. 11, 2017)

IEEE ISM 2017

Feature Selection for FM-Based Context-Aware Recommendation Systems

Mao, X., Mitra, S., Swaminathan, V. (Dec. 11, 2017)

IEEE ISM 2017

Digital content recommendation system using implicit feedback data

Wu, G., Swaminathan, V., Mitra, S., Kumar, R. (Dec. 11, 2017)

IEEE BigData 2017

Context-aware video recommendation based on session progress prediction

Wu, G., Swaminathan, V., Mitra, S., Kumar, R. (Oct. 7, 2017)

IEEE ICME 2017

Designing a Universal Format for Encrypted Media

Swaminathan, V., Mitra, S., Wei, S. (Sep. 30, 2013)

in Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP), Sep 2013, Sardinia, Italy

An Optimal Client Bu ffer Model for Multiplexing HTTP Streams

Mitra, S., Swaminathan, V. (Sep. 19, 2012)

In Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP), Sep 2012, Banff, Canada

A Partial Encryption Scheme for AVC Video

Swaminathan, V., Mitra, S. (Jan. 14, 2012)

In Proceedings of IEEE International Conference on Emerging Signal Processing Applications (ESPA), Jan 2012, Las Vegas, NV

A Framework for Optimal Decentralized Service-Choreography

Mitra, S., Kumar, R., Basu, S. (Jul. 10, 2009)

In Proceedings of IEEE International Conference on Web Services (ICWS), July 2009, Los Angeles, CA

Optimum Decentralized Choreography for Web Services Composition

Mitra, S., Kumar, R., Basu, S. (Jul. 11, 2008)

In Proceedings of IEEE International Conference on Services Computing (SCC), July 2008, Honolulu, HI

Local and On-the-fly Choreography-based Web Service Composition

Mitra, S., Basu, S., Kumar, R. (Nov. 5, 2007)

In Proceedings of ACM/IEEE Web Intelligence, Nov 2007, Femont, CA

Automated Choreographer Synthesis for Web Services Composition Using I/O Automata

Mitra, S., Kumar, R., Basu, S. (Jul. 9, 2007)

In ICWS '07: Proceedings of IEEE International Conference on Web Services, July 2007, Salt Lake City, UT