CV

Michael Nelson, PhD

dr.michael.a.nelson@gmail.com
Boulder, CO, , US

Summary

Currently employed at cotality. Full stack software engineer, researcher, and entrepreneur.

Education

  • Ph.D in Computer Science
    2019
    University of Oklahoma
  • M.S. in Computer Science
    2017
    University of Oklahoma
  • B.S. in Computer Science
    2015
    University of Oklahoma

Publications

  • On compressing massive streaming graphs with Quadtrees
    2015
    2015 IEEE International Conference on Big Data (Big Data)
    This paper discusses compressing massive streaming graphs using Quadtrees.
  • Exploiting topological structures for graph compression based on quadtrees
    2016
    2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)
    This paper explores graph compression techniques leveraging topological structures and Quadtrees.
  • Queryable compression on streaming social networks
    2017
    2017 IEEE International Conference on Big Data (Big Data)
    This paper introduces queryable compression techniques for streaming social networks.
  • Queryable Compression on Time-Evolving Social Networks with Streaming
    2018
    2018 IEEE International Conference on Big Data (Big Data)
    This paper presents queryable compression methods for time-evolving social networks with streaming.
  • Algorithms on Compressed Time-Evolving Graphs
    2019
    2019 IEEE International Conference on Big Data (Big Data)
    This paper explores algorithms for compressed time-evolving graphs.
  • Billion-Scale Matrix Compression and Multiplication with Implications in Data Mining
    2019
    2018 IEEE International Conference on Information Reuse and Integration (IRI)
    This paper discusses billion-scale matrix compression and its applications in data mining.
  • On Compressing Time-Evolving Networks
    2021
    ALLDATA 2021, The Seventh International Conference on Big Data, Small Data, Linked Data and Open Data
    This paper investigates compression techniques for time-evolving networks.
  • Queryable Compression on Time-evolving Web and Social Networks with Streaming
    2021
    ACM Transactions on the Web (ACM Trans. Web)
    This paper proposes a compressed data structure for time-evolving web and social networks, enabling efficient queries and streaming operations.

Projects

  • Discord AI Bot
    Projects
    Currently collaborating on a discord AI bot with some rich features only possible with the latest AI tools.
  • Coding Interview Patterns
    Projects
    My implementations and critiques for the problems in the book Coding Interview Patterns by Alex Xu.
  • System Design Interview Volume 2
    Projects
    My implementations and critiques for the problems in the book System Design Interview Volume 2 by Alex Xu.
  • System Design Interview Volume 1
    Projects
    My implementations and critiques for the problems in the book System Design Interview Volume 1 by Alex Xu.