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Joseph S.B. Mitchell

Joseph S.B. Mitchell

Stony Brook University · Psychology

Active 1932–2026

h-index65
Citations17.7k
Papers64353 last 5y
Funding$2.4M

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

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About

Joseph S.B. Mitchell is a SUNY Distinguished Professor in the Department of Applied Mathematics and Statistics at the State University of New York at Stony Brook. His research interests encompass computational geometry, algorithms and data structures, optimization, operations research, graphics and visualization, as well as computer-aided (geometric) design and manufacturing. He is associated with the AI Innovation Institute at Stony Brook, contributing to advancements in these fields through his academic and research activities.

Research topics

  • Computer Science
  • Artificial Intelligence
  • Discrete mathematics
  • Mathematics
  • Mathematical analysis
  • Computer vision
  • Algorithm
  • Programming language
  • Combinatorics
  • Geometry

Selected publications

  • Approximating Maximum Independent Set for Rectangles in the Plane

    2022 · 17 citations

    1st authorCorresponding

    We give a polynomial-time constant-factor approximation algorithm for maximum independent set for (axis-aligned) rectangles in the plane. Using a polynomial-time algorithm, the best approximation factor previously known is <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$O(\log\log n)$</tex> . The results are based on a new form of recursive partitioning in the plane, in which faces that are constant-complexity and orthogonally convex are recursivel…

  • Computing Coordinated Motion Plans for Robot Swarms: The CG:SHOP Challenge 2021

    ACM Journal of Experimental Algorithmics · 2022 · 8 citations

    Senior authorCorresponding

    We give an overview of the 2021 Computational Geometry Challenge, which targeted the problem of optimally coordinating a set of robots by computing a family of collision-free trajectories for a set S of n pixel-shaped objects from a given start configuration to a desired target configuration.

  • Shortcut hulls: Vertex-restricted outer simplifications of polygons

    Computational Geometry · 2023-01-19 · 2 citations

    article
  • Provable Methods for Searching with an Imperfect Sensor

    2025-05-19 · 1 citations

    articleSenior author

    Assume that a target is known to be present at an unknown point among a finite set of locations in the plane. We search for it using a mobile robot that has imperfect sensing capabilities. It takes time for the robot to move between locations and search a location; we have a total time budget within which to conduct the search. We study the problem of computing a search path/strategy for the robot that maximizes the probability of detection of the target. Considering non-uniform travel times bet…

  • Voluntary mobility clustering for epidemic control

    2025-11-03

    articleOpen access

    In case of a future pandemic, the mobility dynamics of a city can be controlled by intervening in the mobility patterns of people. Instead of hard quarantine policies, incentives can be designed that are compatible with people's preferences. At first, we distinguish mobility from the different types of locations for which distance matters. We match these types of locations in a way that maximizes the natural preference of people to visit the locations. We investigate different approaches for mat…

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