World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
19147
World Ranking
7745
National Ranking
3345

Overview

Matthew L. Miller is affiliated with NEC in the United States and specializes in the field of Medicine. Their work spans several subfields, including Oncology, General Health Professions, Neurology, Pulmonary and Respiratory Medicine, and Genetics. This diverse expertise supports interdisciplinary approaches to biomedical and health research.

The main topics covered by Miller's research include Neuroblastoma Research and Treatments, Neonatal Respiratory Health Research, Genetics and Neurodevelopmental Disorders, Youth Development and Social Support, Teacher Education and Leadership Studies, Resilience and Mental Health, and CAR-T cell therapy research. These areas reflect a focus on both fundamental biomedical mechanisms and applications in health professions and education.

Among recent publications, Miller has contributed to several papers:

  • "ALK upregulates POSTN and WNT signaling to drive neuroblastoma," 2024, published in Cell Reports
  • "Building Resilience in Rural STEM Teachers Through a Noyce Professional Learning Community," 2025, published in Education Sciences
  • "Augmenting T-cell responses to tumors by in situ nanomanufacturing," 2020, published in Materials Horizons
  • "Development and Testing an Interprofessional Plié Training Program for VA Nursing Home Staff," 2022, published in Innovation in Aging

Miller frequently collaborates with a number of coauthors, including Miller Huang, Wanqi Fang, Alvin Farrel, Linwei Li, and Antonios Chronopoulos. These collaborations contribute to the interdisciplinary nature of their research.

Primary publication venues for Miller's work include Cell Reports, Education Sciences, Materials Horizons, and Innovation in Aging. The presence in these varied journals indicates contributions to fields ranging from molecular and cellular biology to education and healthcare innovation.

Best Publications

  • Digital Watermarking

    Ingemar Cox;Matthew L. Miller;Jeffery A. Bloom

  • Digital Watermarking and Steganography

    Ingemar Cox;Matthew Miller;Jeffrey Bloom;Jessica Fridrich

  • Rotation, scale, and translation resilient watermarking for images

    C.-Y. Lin;M. Wu;J.A. Bloom;I.J. Cox

  • The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments

    I.J. Cox;M.L. Miller;T.P. Minka;T.V. Papathomas

  • Watermarking as communications with side information

    I.J. Cox;M.L. Miller;A.L. McKellips

  • The first 50 years of electronic watermarking

    Ingemar J. Cox;Matt L. Miller

  • Review of watermarking and the importance of perceptual modeling

    Ingemar J. Cox;Matthew L. Miller

  • Synergistic Face Detection and Pose Estimation with Energy-Based Models

    Margarita Osadchy;Yann Le Cun;Matthew L. Miller

  • Watermarking applications and their properties

    I.J. Cox;M.L. Miller;J.A. Bloom

  • Copy protection for DVD video

    J.A. Bloom;I.J. Cox;T. Kalker;J.-P.M.G. Linnartz

  • Applying informed coding and embedding to design a robust high-capacity watermark

    M.L. Miller;G.J. Doerr;I.J. Cox

  • PicHunter: Bayesian relevance feedback for image retrieval

    I.J. Cox;M.L. Miller;S.M. Omohundro;P.N. Yianilos

  • Chapter 12 – Steganography

    Ingemar J. Cox;Matthew L. Miller;Jeffrey A. Bloom;Jessica Fridrich

  • Method for data preparation and watermark insertion

    Jeffrey A. Bloom;Ingemar J. Cox;Matthew L. Miller

  • Rotation, scale, and translation resilient public watermarking for images

    Jeffrey A Bloom;Ingemar J Cox;Matthew L Miller;Min Wu

  • A Review of of Watermarking Principles and Practices

    IJ Cox;ML Miller;Jmg Linnartz;T Kalker

  • Optimizing Murty's ranked assignment method

    M.L. Miller;H.S. Stone;I.J. Cox

  • 8 – Robust Watermarking

    Ingemar J. Cox;Matthew L. Miller;Jeffrey A. Bloom

  • An optimized interaction strategy for Bayesian relevance feedback

    I.J. Cox;M.L. Miller;T.P. Minka;P.N. Yianilos

  • Synergistic Face Detection and Pose Estimation with Energy-Based Models

    Margarita Osadchy;Matthew L. Miller;Yann L. Cun

  • Synergistic face detection and pose estimation with energy-based models

    Margarita Osadchy;Yann LeCun;Matthew L. Miller

Frequent Co-Authors

Ingemar J. Cox
Ingemar J. Cox University College London
Ton Kalker
Ton Kalker Hewlett-Packard (United States)
Jessica Fridrich
Jessica Fridrich Binghamton University
Min Wu
Min Wu University of Maryland, College Park
Kartik Ramaswamy
Kartik Ramaswamy Applied Materials (United States)
Ching-Yung Lin
Ching-Yung Lin National Chi Nan University
Tom Minka
Tom Minka Microsoft (United States)
Andrew Nguyen
Andrew Nguyen Applied Materials (United States)
Hiroji Hanawa
Hiroji Hanawa Applied Materials (United States)
Kenneth S. Collins
Kenneth S. Collins Applied Materials (United States)

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