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Nova · Professor Researcher · re-ranking top 20…

Panos Papalambros

Verified

University of Michigan · Mechanical Engineering

Active 1979–2024

h-index61
Citations14.8k
Papers58533 last 5y
Funding$643k
Faculty page
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Research topics

  • Computer Science
  • Chemistry
  • Data science
  • World Wide Web

Selected publications

  • CROWDSOURCING: A PRIMER AND ITS IMPLICATIONS FOR SYSTEMS ENGINEERING

    SAE technical papers on CD-ROM/SAE technical paper series · 2024 · 17 citations

    Senior authorCorresponding
    • Computer Science
    • Computer Science
    • Data science

    <title>ABSTRACT</title> <p>Crowdsourcing is an overarching term that denotes a number of ways to use the web as means to enlist a large number of individuals to perform a particular task. The tasks can range from simply providing an opinion, to contributing material, to solving a problem. Because the term crowdsourcing is used to denote a variety of activities in many different contexts, strong opinions have formed in many minds. This paper is an attempt to inform the reader of the complexity that underlies the simple term “crowdsourcing.” We then describe the connection between the DARPA Adaptive Vehicle Make program with the potential limitations of crowdsourcing complex tasks using examples from industry. Using these examples, we present a research motivation detailing areas to be improved within current crowdsourcing frameworks. Finally, an agent-based simulation using machine learning techniques is defined, preliminary results are presented, and future research directions are described.</p>

    PublisherDOI

Recent grants

Frequent coauthors

  • Michael Kokkolaras

    McGill University

    110 shared

  • Nestor Michelena

    University of Michigan–Ann Arbor

    49 shared

  • Dennis N. Assanis

    33 shared

  • Namwoo Kang

    29 shared

  • Richard Gonzalez

    29 shared

  • Fred M. Feinberg

    27 shared

  • Ryan Fellini

    American Numismatic Society

    27 shared

  • A. Galip Ulsoy

    University of Michigan–Ann Arbor

    24 shared

Education

  • PhD, Mechanical Engineering

    Stanford University

    1979

  • Master of Science, Mechanical Engineering

    Stanford University

    1976

  • Diploma, Mechanical and Electrical Engineering

    National Technical University of Athens

    1974
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