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Christopher Rose

Christopher Rose

Brown University · Civil Engineering

Active 1969–2025

h-index31
Citations4.1k
Papers19729 last 5y
Funding$756k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Christopher Rose is a Professor of Engineering at Brown University and serves as the Director of STEMJazz Programs. His research interests encompass communication theory as an organizing principle, wireless communication, molecular communication, mobile networks, communication theory and physics, genetic algorithms, interference avoidance, and MIMO technology. Rose has a broad view of his field, considering it on a cosmic scale, and is involved in advancing understanding and innovation within these areas. He has been recognized for his innovative teaching and support for students, receiving the IEEE Undergraduate Teaching Award, and has been honored with university awards for student advising and mentoring. In addition to his research and teaching, Rose has held administrative roles, including being named Associate Provost at Brown University. His work and contributions are noted in various news articles and university communications, highlighting his influence in both academic and practical aspects of communication technology.

Research topics

  • Computer Science
  • Database
  • Chemistry
  • Combinatorial chemistry

Selected publications

  • Multicomponent molecular memory

    Nature Communications · 2020 · 72 citations

    Multicomponent reactions enable the synthesis of large molecular libraries from relatively few inputs. This scalability has led to the broad adoption of these reactions by the pharmaceutical industry. Here, we employ the four-component Ugi reaction to demonstrate that multicomponent reactions can provide a basis for large-scale molecular data storage. Using this combinatorial chemistry we encode more than 1.8 million bits of art historical images, including a Cubist drawing by Picasso. Digital d…

  • Heterogeneity in susceptibility dictates the order of epidemic models

    Journal of Theoretical Biology · 2021-07-24 · 33 citations

    article1st author
  • High-Dimensional Time Series Feature Extraction for Low-Cost Machine Olfaction

    IEEE Sensors Journal · 2020-01-01 · 22 citations

    article

    The complexity of airborne odors offers interesting challenges and opportunities for chemical detection and identification. Biological olfactory systems have evolved to extract information from spatiotemporally complex odor plumes, but many engineered electronic noses use only coarse time features while neglecting valuable transient fluctuations. In this paper, we use the TruffleBot, our low-cost e-nose platform, to dynamically `sniff' odors while collecting multidimensional chemical, pressure a…

  • Leveraging autocatalytic reactions for chemical domain image classification

    Chemical Science · 2021-01-01 · 11 citations

    articleOpen access

    Autocatalysis is fundamental to many biological processes, and kinetic models of autocatalytic reactions have mathematical forms similar to activation functions used in artificial neural networks. Inspired by these similarities, we use an autocatalytic reaction, the copper-catalyzed azide-alkyne cycloaddition, to perform digital image recognition tasks. Images are encoded in the concentration of a catalyst across an array of liquid samples, and the classification is performed with a sequence of…

  • Secret messaging with endogenous chemistry

    Scientific Reports · 2021-07-06 · 2 citations

    articleOpen access

    Data encoded in molecules offers opportunities for secret messaging and extreme information density. Here, we explore how the same chemical and physical dimensions used to encode molecular information can expose molecular messages to detection and manipulation. To address these vulnerabilities, we write data using an object's pre-existing surface chemistry in ways that are indistinguishable from the original substrate. While it is simple to embed chemical information onto common objects (covers)…

Recent grants

Frequent coauthors

Education

  • Ph.D., EECS

    Massachusetts Institute of Technology

    1985
  • SM, EECS

    Massachusetts Institute of Technology

    1981
  • SB, EECS

    Massachusetts Institute of Technology

    1979

Awards & honors

  • IEEE Undergraduate Teaching Award (2022)

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