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Mohit Daga

Profile picture of Mohit Daga

About me

See https://sites.google.com/view/mohitdaga/home
 

Working papers and pre-prints

  • Thin Trees via k-Respecting Cut Identities
    under submission, subsumes the k-respecting identities note (ArXiv: 2210.13320)
    arxiv link, updated 14th October 2025
  • Thin Trees Beyond Laminar Families
    arxiv link, coming soon

Accepted / Published

  • Error Bounds for Network Scale-Up Methods
    Sergio Díaz-Aranda, Juan Marcos Ramirez, Mohit Daga, Jaya Prakash Champati, Jose Aguilar, Rosa E. Lillo, Antonio F. Anta
    ACM SIGKDD 2025
    [arXiv link / ACM]
    Applies local inference and probabilistic methods to error quantification in networked sampling.
  • Distributed Small Cuts using Semigroups
    with John Augustine
    26th Int’l Conference on Distributed Computing and Networking (ICDCN 2025)
    [arxiv-link / ACM]
    Explores algebraic representations for distributed detection of sparse cuts.
  • Distributed Edge Connectivity in Sublinear Time
    with Danupon Nanongkai, Monika Henzinger, Thatchaphol Saranurak
    ACM STOC 2019
    [arxiv link / ACM]
    Introduces first sublinear-time algorithms for certifying edge-connectivity in distributed settings.
  • Methods and Systems for Assigning Resources to a Task
    with Manoj Gupta, Koyel Mukherjee, Shailesh Vaya
    US Patent US20170017522A1
    Patented work from Xerox Research India: FPTAS-based resource allocation in crowdsourced BPMN.
  • 2-SiMDoM: A 2-Sieve Model for Detection of Mitosis in Multispectral Breast Cancer Imagery
    with Ardhendu S. Tripathi, Atin Mathur, Manohar Kuse, Oscar C. Au
    IEEE ICIP 2013, IEEE Link
    Deep learning before its time: multispectral mitosis detection using sparse feature sieves.

Courses

Advanced Algorithms (DD2440), assistant

Algorithms and Complexity (DD2352), assistant

Introduction to the Philosophy of Science and Research Methodology for Computer Scientists (DA2210), assistant

Logic for Computer Scientists (DD1351), assistant

Principles of Programming Languages (DD2481), assistant