World's Best Scientists 2026 revealed!

Research.com Recognitions

  • 2009 - IEEE Fellow For contributions to variable-rate image and video compression and to engineering education
  • 1994 - Fellow of Alfred P. Sloan Foundation

Overview

Eve A. Riskin is affiliated with the University of Washington in the United States. Their research primarily spans the fields of psychology and social sciences, with a focus on clinical psychology, experimental and cognitive psychology, safety research, applied psychology, and social psychology.

The main topics of their work include:

  • Mental Health Research Topics
  • COVID-19 and Mental Health
  • Digital Mental Health Interventions
  • Career Development and Diversity
  • Psychological Well-being and Life Satisfaction
  • Innovative Human-Technology Interaction
  • Resilience and Mental Health

Eve A. Riskin has a series of recent notable publications, including:

  • "GLOBEM," 2022, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Leveraging Collaborative-Filtering for Personalized Behavior Modeling," 2021, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "How Does COVID-19 impact Students with Disabilities/Health Concerns?," 2020, arXiv (Cornell University)
  • "College from home during COVID-19: A mixed-methods study of heterogeneous experiences," 2021, PLoS ONE
  • "Lack of Belonging Predicts Depressive Symptomatology in College Students," 2022, Psychological Science

Their frequent co-authors include:

  • Anind K. Dey
  • Jennifer Mankoff
  • Yasaman S. Sefidgar
  • Paula S. Nurius
  • Margaret E. Morris

Publication venues where Eve A. Riskin has contributed multiple works include:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • PLoS ONE
  • Psychological Science
  • ACM Transactions on Accessible Computing

Eve A. Riskin was recognized as an IEEE Fellow in 2009 for contributions to variable-rate image and video compression and engineering education. They were also a Fellow of the Alfred P. Sloan Foundation in 1994.

Best Publications

  • Unequal loss protection: graceful degradation of image quality over packet erasure channels through forward error correction

    A.E. Mohr;E.A. Riskin;R.E. Ladner

  • Signals, Systems, and Transforms

    Charles L Phillips;John Parr;Eve Riskin

  • Optimal bit allocation via the generalized BFOS algorithm

    E.A. Riskin

  • A greedy tree growing algorithm for the design of variable rate vector quantizers (image compression)

    E.A. Riskin;R.M. Gray

  • Becoming a computer scientist

    Amy Pearl;Martha E. Pollack;Eve Riskin;Elizabeth Wolf

  • Using vector quantization for image processing

    P.C. Cosman;K.L. Oehler;E.A. Riskin;R.M. Gray

  • A Greedy Tree Growing Algorithm for the Design of Variable Rate Vector Quantizers

    Eve A. Riskin;Robert M. Gray

  • Graceful degradation over packet erasure channels through forward error correction

    A.E. Mohr;E.A. Riskin;R.E. Ladner

  • SPIHT for generalized multiple description coding

    A.C. Miguel;A.E. Mohr;E.A. Riskin

  • Approximately optimal assignment for unequal loss protection

    A.E. Mohr;R.E. Ladner;E.A. Riskin

  • Variable rate vector quantization for medical image compression

    E.A. Riskin;T. Lookabaugh;P.A. Chou;R.M. Gray

  • Thoracic CT images: effect of lossy image compression on diagnostic accuracy.

    P. C. Cosman;H. C. Davidson;C. J. Bergin;Chien-Wen Tseng

  • MobileASL: intelligibility of sign language video as constrained by mobile phone technology

    Anna Cavender;Richard E. Ladner;Eve A. Riskin

  • Tree-structured vector quantization of CT chest scans: image quality and diagnostic accuracy

    P.C. Cosman;C. Tseng;R.M. Gray;R.A. Olshen

  • Statistical distributions of DCT coefficients and their application to an interframe compression algorithm for 3-D medical images

    H. Lee;Y. Kim;A.H. Rowberg;E.A. Riskin

  • Variable rate vector quantization for speech, image, and video compression

    T. Lookabaugh;E.A. Riskin;P.A. Chou;R.M. Gray

  • Generalized multiple description coding through unequal loss protection

    A.E. Mohr;E.A. Riskin;R.E. Ladner

  • Error-diffused image compression using a binary-to-gray-scale decoder and predictive pruned tree-structured vector quantization

    Ming Yuan Ting;E.A. Riskin

  • Graceful degradation of speech recognition performance over packet-erasure networks

    C. Boulis;M. Ostendorf;E.A. Riskin;S. Otterson

  • Fast nearest neighbor search of entropy-constrained vector quantization

    M.H. Johnson;R.E. Ladner;E.A. Riskin

Frequent Co-Authors

Richard E. Ladner
Richard E. Ladner University of Washington
Robert M. Gray
Robert M. Gray Stanford University
Pamela C. Cosman
Pamela C. Cosman University of California, San Diego
Jacob O. Wobbrock
Jacob O. Wobbrock University of Washington
Anind K. Dey
Anind K. Dey University of Washington
Jennifer Mankoff
Jennifer Mankoff University of Washington
Paula S. Nurius
Paula S. Nurius University of Washington
Yongmin Kim
Yongmin Kim Pohang University of Science and Technology
Philip A. Chou
Philip A. Chou Google (United States)
Mari Ostendorf
Mari Ostendorf University of Washington

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