World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
25279
World Ranking
2833
National Ranking
1402

Overview

Sharad Mehrotra is affiliated with the University of California, Irvine in the United States. Their research primarily spans the field of Computer Science, with a significant focus on subfields such as Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing, and Computer Vision and Pattern Recognition.

The main topics covered by their work include Privacy-Preserving Technologies in Data, Cryptography and Data Security, Data Management and Algorithms, IoT and Edge/Fog Computing, Data Quality and Management, Internet Traffic Analysis and Secure E-voting, and Complexity and Algorithms in Graphs.

The scientist has published extensively, including recent papers such as:

  • SmartBench, 2020, Proceedings of the VLDB Endowment
  • Federated Analytics: A Survey, 2023, APSIPA Transactions on Signal and Information Processing
  • Locater, 2020, Proceedings of the VLDB Endowment
  • Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets, 2020, arXiv (Cornell University)
  • The SemIoTic Ecosystem: A Semantic Bridge between IoT Devices and Smart Spaces, 2022, ACM Transactions on Internet Technology

Frequent co-authors who have collaborated with Sharad Mehrotra include:

  • Shantanu Sharma
  • Nalini Venkatasubramanian
  • Peeyush Gupta
  • Roberto Yus
  • Nisha Panwar

Sharad Mehrotra's publication venues show a concentration in forums such as:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • ACM Transactions on Internet of Things
  • Pervasive and Mobile Computing
  • IEEE Transactions on Knowledge and Data Engineering

Best Publications

  • Relevance feedback: a power tool for interactive content-based image retrieval

    Yong Rui;T.S. Huang;M. Ortega;S. Mehrotra

  • Dimensionality reduction for fast similarity search in large time series databases

    Eamonn J. Keogh;Kaushik Chakrabarti;Michael J. Pazzani;Sharad Mehrotra

  • Executing SQL over encrypted data in the database-service-provider model

    Hakan Hacigümüş;Bala Iyer;Chen Li;Sharad Mehrotra

  • Content-based image retrieval with relevance feedback in MARS

    Y. Rui;T.S. Huang;S. Mehrotra

  • Locally adaptive dimensionality reduction for indexing large time series databases

    Eamonn Keogh;Kaushik Chakrabarti;Michael Pazzani;Sharad Mehrotra

  • Providing database as a service

    H. Hacigumus;B. Iyer;S. Mehrotra

  • Adaptive key frame extraction using unsupervised clustering

    Yueting Zhuang;Yong Rui;T.S. Huang;S. Mehrotra

  • A privacy-preserving index for range queries

    Bijit Hore;Sharad Mehrotra;Gene Tsudik

  • Locally adaptive dimensionality reduction for indexing large time series databases

    Kaushik Chakrabarti;Eamonn Keogh;Sharad Mehrotra;Michael Pazzani

  • Constructing table-of-content for videos

    Yong Rui;Thomas S. Huang;Sharad Mehrotra

  • Supporting similarity queries in MARS

    Michael Ortega;Yong Rui;Kaushik Chakrabarti;Sharad Mehrotra

  • The hybrid tree: an index structure for high dimensional feature spaces

    K. Chakrabarti;S. Mehrotra

  • Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces

    Kaushik Chakrabarti;Sharad Mehrotra

  • Processing Spatial-Keyword (SK) Queries in Geographic Information Retrieval (GIR) Systems

    R. Hariharan;B. Hore;Chen Li;S. Mehrotra

  • Efficient execution of aggregation queries over encrypted relational databases

    Hakan Hacigümüs;Bala Iyer;Sharad Mehrotra

  • Efficient record linkage in large data sets

    Liang Jin;Chen Li;S. Mehrotra

  • Secure multidimensional range queries over outsourced data

    Bijit Hore;Sharad Mehrotra;Mustafa Canim;Murat Kantarcioglu

  • Exploring video structure beyond the shots

    Yong Rui;T.S. Huang;S. Mehrotra

  • Relevance feedback techniques in interactive content-based image retrieval

    Yong Rui;Thomas S. Huang;Sharad Mehrotra

  • Supporting ranked Boolean similarity queries in MARS

    M. Ortega;Y. Rui;K. Chakrabarti;K. Porkaew

  • Proceedings of the 26th International Conference on Data Engineering, ICDE 2010

    Feifei Li;Mirella M. Moro;Shahram Ghandeharizadeh;Jayant R. Haritsa

Frequent Co-Authors

Nalini Venkatasubramanian
Nalini Venkatasubramanian University of California, Irvine
Kaushik Chakrabarti
Kaushik Chakrabarti Microsoft (United States)
Yong Rui
Yong Rui Lenovo (China)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Murat Kantarcioglu
Murat Kantarcioglu The University of Texas at Dallas
Balakrishna R. Iyer
Balakrishna R. Iyer IBM (United States)
Chen Li
Chen Li University of California, Irvine
Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore
Henry F. Korth
Henry F. Korth Lehigh University
Rajeev Rastogi
Rajeev Rastogi Amazon (United States)

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