World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
7527
World Ranking
12431
National Ranking
5040

Overview

Sergey Yekhanin is affiliated with Microsoft in the United States. Their research contributions span multiple areas within computer science, with a focus on artificial intelligence, molecular biology, and privacy technologies.

The scientist has published extensively, with 18 works categorized under computer science. Subfields of their work include artificial intelligence, molecular biology, computer vision and pattern recognition, health informatics, and computer networks and communications.

Their main research topics cover advanced biosensing and bioanalysis techniques, DNA and biological computing, privacy-preserving technologies in data, advanced neural network applications, artificial intelligence in healthcare and education, cryptography and data security, as well as algorithms and data compression.

Notable recent papers by Sergey Yekhanin include:

  • Scaling DNA data storage with nanoscale electrode wells, 2021, Science Advances
  • Differentially Private Fine-tuning of Language Models, 2021, arXiv (Cornell University)
  • Maximally Recoverable LRCs: A Field Size Lower Bound and Constructions for Few Heavy Parities, 2020, IEEE Transactions on Information Theory
  • Differentially Private Fine-tuning of Language Models, 2024, Journal of Privacy and Confidentiality
  • Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment, 2024, Harvard Data Science Review

Sergey Yekhanin frequently collaborates with a number of co-authors. Among the most prolific are Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Karin Strauß, and Artūrs Bačkurs.

The scientist's research has appeared in several publication venues, with multiple contributions to arXiv (Cornell University), the Journal of Privacy and Confidentiality, IEEE Transactions on Information Theory, Zenodo (CERN European Organization for Nuclear Research), and Science Advances.

Best Publications

  • Erasure coding in windows azure storage

    Cheng Huang;Huseyin Simitci;Yikang Xu;Aaron Ogus

  • On the Locality of Codeword Symbols

    P. Gopalan;Cheng Huang;H. Simitci;S. Yekhanin

  • Towards 3-query locally decodable codes of subexponential length

    Sergey Yekhanin

  • Random access in large-scale DNA data storage

    Lee Organick;Siena Dumas Ang;Yuan Jyue Chen;Randolph Lopez

  • Collecting telemetry data privately

    Bolin Ding;Janardhan Kulkarni;Sergey Yekhanin

  • Locally Decodable Codes

    Sergey Yekhanin

  • High-rate codes with sublinear-time decoding

    Swastik Kopparty;Shubhangi Saraf;Sergey Yekhanin

  • Erasure coding across multiple zones and sub-zones

    Sergey Yekhanin;Huseyin Simitci;Aaron W. Ogus;Jin Li

  • Private information retrieval

    Sergey Yekhanin

  • Collecting Telemetry Data Privately

    Bolin Ding;Janardhan Kulkarni;Sergey Yekhanin

  • Erasure coding across multiple zones

    Bradley G. Calder;Parikshit Santhana Gopalan;Cheng Huang;Jin Li

  • Pan-Private Streaming Algorithms

    Cynthia Dwork;Moni Naor;Toniann Pitassi;Guy N. Rothblum

  • Explicit Maximally Recoverable Codes With Locality

    Parikshit Gopalan;Cheng Huang;Bob Jenkins;Sergey Yekhanin

  • Non-Adaptive Fault Diagnosis for All-Optical Networks via Combinatorial Group Testing on Graphs

    N.J.A. Harvey;M. Patrascu;Yonggang Wen;S. Yekhanin

  • A Geometric Approach to Information-Theoretic Private Information Retrieval

    David Woodruff;Sergey Yekhanin

  • DNA assembly for nanopore data storage readout.

    Randolph Lopez;Yuan Jyue Chen;Siena Dumas Ang;Sergey Yekhanin

  • Matching Vector Codes

    Zeev Dvir;Parikshit Gopalan;Sergey Yekhanin

  • New Efficient Attacks on Statistical Disclosure Control Mechanisms

    Cynthia Dwork;Sergey Yekhanin

  • A geometric approach to information-theoretic private information retrieval

    D. Woodruff;S. Yekhanin

  • Locally Decodable Codes

    Sergey Yekhanin

  • Towards 3-query locally decodable codes of subexponential length

    Sergey Yekhanin

  • Locally Decodable Codes and Private Information Retrieval Schemes

    Sergey Yekhanin

  • Secure Biometrics Via Syndromes

    Emin Martinian;Sergey Yekhanin;Jonathan Yedidia

  • Zombie memory: Extending memory lifetime by reviving dead blocks

    Rodolfo Azevedo;John D. Davis;Karin Strauss;Parikshit Gopalan

  • New Locally Decodable Codes and Private Information Retrieval Schemes.

    Sergey Yekhanin

Frequent Co-Authors

Karin Strauss
Karin Strauss Microsoft (United States)
Cheng Huang
Cheng Huang Microsoft (United States)
Luis Ceze
Luis Ceze University of Washington
Mark S. Manasse
Mark S. Manasse Microsoft (United States)
Venkatesan Guruswami
Venkatesan Guruswami University of California, Berkeley
Rina Panigrahy
Rina Panigrahy Google (United States)
Noga Alon
Noga Alon Tel Aviv University
Jin Li
Jin Li Microsoft (United States)
Alexander A. Razborov
Alexander A. Razborov University of Chicago
Georg Seelig
Georg Seelig University of Washington

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