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Stark C. Draper

Stark C. Draper

D-Index & Metrics

Computer Science

D-Index
34
Citations
4471
World Ranking
12241
National Ranking
477

Overview

Stark C. Draper is affiliated with the University of Toronto in Canada and focuses primarily on research intersecting computer science and engineering. Their work spans multiple subfields, including artificial intelligence, computer networks and communications, electrical and electronic engineering, computational mechanics, and molecular biology.

The scientist's research topics highlight a concentration in stochastic gradient optimization techniques, sparse and compressive sensing techniques, error-correcting code techniques, distributed control multi-agent systems, DNA and biological computing, advanced wireless communication techniques, and cooperative communication with network coding.

Recent publications by Stark C. Draper include:

  • Anytime MiniBatch: Exploiting Stragglers in Online Distributed Optimization, 2020, arXiv (Cornell University)
  • Successive Approximation Coding for Distributed Matrix Multiplication, 2022, IEEE Journal on Selected Areas in Information Theory
  • Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope, 2021, arXiv (Cornell University)
  • Astronomical Image Quality Prediction based on Environmental and Telescope Operating Conditions, 2020, arXiv (Cornell University)

Throughout their career, Draper has frequently collaborated with several co-authors, including:

  • Tharindu Adikari
  • Haider Al-Lawati
  • Frank R. Kschischang
  • Shahrzad Kiani
  • Sankalp Gilda

The scientist publishes predominantly in reputable venues such as arXiv (Cornell University), IEEE Journal on Selected Areas in Information Theory, the IEEE International Symposium on Information Theory (ISIT), IEEE Transactions on Information Theory, and IEEE Transactions on Communications. These venues reflect the interdisciplinary and technical nature of their research output.

The body of work by Draper integrates topics in both theoretical and applied frameworks, especially in areas related to optimization algorithms for distributed computing, coding theory, and applications of machine learning to astronomical imaging and systems control. The broad span of fields and topics emphasizes an engagement with both computational and engineering challenges, including contributions to the understanding of complex networked systems and biological computation.

Best Publications

  • Exploiting Channel Diversity in Secret Key Generation From Multipath Fading Randomness

    Yanpei Liu;S. C. Draper;A. M. Sayeed

  • Using Distributed Source Coding to Secure Fingerprint Biometrics

    S.C. Draper;A. Khisti;E. Martinian;A. Vetro

  • Decomposition Methods for Large Scale LP Decoding

    Siddharth Barman;Xishuo Liu;Stark C. Draper;Benjamin Recht

  • Side information aware coding strategies for sensor networks

    S.C. Draper;G.W. Wornell

  • Biometric based user authentication and data encryption

    Stark C. Draper;Ashish Khisti;Emin Martinian;Anthony Vetro

  • Secure Biometrics: Concepts, Authentication Architectures, and Challenges

    S. Rane;Ye Wang;S. C. Draper;P. Ishwar

  • Construction of high-girth QC-LDPC codes

    Yige Wang;J.S. Yedidia;S.C. Draper

  • Exploitation of Stragglers in Coded Computation

    Shahrzad Kiani;Nuwan Ferdinand;Stark C. Draper

  • Toward Compression of Encrypted Images and Video Sequences

    D. Schonberg;S.C. Draper;Chuohao Yeo;K. Ramchandran

  • Hierarchical Coded Computation

    Nuwan Ferdinand;Stark C. Draper

  • Feature extraction for a Slepian-Wolf biometric system using LDPC codes

    Y. Sutcu;S. Rane;J.S. Yedidia;S.C. Draper

  • The ADMM Penalized Decoder for LDPC Codes

    Xishuo Liu;Stark C. Draper

  • On blind compression of encrypted data approaching the source entropy rate

    Daniel Schonberg;Stark C. Draper;Kannan Ramchandran

  • Notary: Hardware techniques to enhance signatures

    Luke Yen;Stark C. Draper;Mark D. Hill

  • On Compression of Encrypted Images

    Daniel Schonberg;Stark Draper;Kannan Ramchandran

  • ML decoding via mixed-integer adaptive linear programming

    S.C. Draper;J.S. Yedidia;Yige Wang

  • SleepScale: runtime joint speed scaling and sleep states management for power efficient data centers

    Yanpei Liu;Stark C. Draper;Nam Sung Kim

  • Hierarchical and High-Girth QC LDPC Codes

    Yige Wang;S. C. Draper;J. S. Yedidia

  • On Rateless Coding over Fading Channels with Delay Constraints

    Jeff Castura;Yongyi Mao;Stark Draper

  • On Blind Compression of Encrypted Correlated Data Approaching The Source Entropy Rate

    D. Schonberg;S. C. Draper;K. Ramchandran

  • A Theoretical Analysis of Authentication, Privacy, and Reusability Across Secure Biometric Systems

    Ye Wang;S. Rane;S. C. Draper;P. Ishwar

  • Interactive Decoding of a Broadcast Message

    Stark C. Draper;Brendan J. Frey;Frank R. Kschischang

  • Exploiting Channel Diversity in Secret Key Generation from Multipath Fading Randomness

    Yanpei Liu;Stark C. Draper;Akbar M. Sayeed

Frequent Co-Authors

Jonathan S. Yedidia
Jonathan S. Yedidia Walt Disney (United States)
Vincent Y. F. Tan
Vincent Y. F. Tan National University of Singapore
Toshiaki Koike-Akino
Toshiaki Koike-Akino Mitsubishi Electric (United States)
Akbar M. Sayeed
Akbar M. Sayeed Independent Scientist / Consultant, US
Ashish Khisti
Ashish Khisti University of Toronto
Anant Sahai
Anant Sahai University of California, Berkeley
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign

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