Personal Details

I am a Post-Doc in Department of Computer Science at the University of California, Irvine, USA.

Research interests:
Incorporating cryptographic techniques and/or secure hardware for supporting SQL queries on large-sized secured data (with possibilities of using systems such as Hadoop and Spark).
Developing a secure IoT space (e.g., a smart building) that captures user-related data, and thus, requires the development of secure consent management, secure data storage according to the data retention policies, and secure data processing.
Designing computing models for MapReduce-based jobs and real-time big-data processing systems that involve complex data pipeline.

Post-Doc advisor: Prof. Sharad Mehrotra

I completed my Ph.D. in Department of Computer Science at Ben-Gurion University of the Negev, Beersheva, Israel.
I am blessed to become an academic son of Prof. Shlomi Dolev and getting guidance from Prof. Jeffrey Ullman during my Ph.D. work as well as in present.

Email: shantanu.sharma@uci.edu, to_shantanusharma@ieee.org


Latest work related to COVID-19


Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets [Paper/PDF]
Peeyush Gupta Sharad Mehrotra, Nisha Panwar, Shantanu Sharma, Nalini Venkatasubramanian, and Guoxi Wang
Unpublished.

Three Selected Publications


3. Obscure: Information-Theoretic Oblivious and Verifiable Aggregation Queries [Paper/PDF] [Presentation slides/PPT] [Full version (in IEEE TKDE)]
Peeyush Gupta, Yin Li, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma, and Sumaya Almanee
Proceedings of the VLDB Endowment, Vol. 12, No. 9., 2019.
2. Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data [Paper/PDF] [Presentation slides/PPT]
Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, and Anurag Mishra
35th IEEE International Conference on Data Engineering (IEEE ICDE), pp. 650-661, China, April, 2019.
1. Assignment Problems of Different-Sized Inputs in MapReduce [Paper/PDF]
Foto Afrati, Shlomi Dolev, Ephraim Korach, Shantanu Sharma, and Jeffrey D. Ullman
ACM Transactions on Knowledge Discovery from Data (ACM TKDD), Volume 11, Issue 2, 2016.