Michael Stiber, Ph.D.

Professor

Michael Stiber, Ph.D.

Professor

Dr. Michael Stiber earned his Ph.D. in Computer Science from UCLA. Before coming to UW Bothell, he was an assistant professor at the Hong Kong University of Science & Technology and a research assistant professor at the University of California, Berkeley. He has also been a visiting associate professor at the University of Florida and a Fulbright Scholar in the Institute of Physiology of the Czech Academy of Sciences.

Education

  • University of California, Los Angeles
    • Ph.D. — Computer Science
    • M.S. — Computer Science
  • Washington University, Saint Louis
    • B.S. — Computer Science
    • B.S. — Electrical Engineering

Courses

  • B CORE 115/116 Thinking About Thinking: Natural and Artificial Minds
  • CSS 101/BIS 111 Digital Thinking
  • CSS 485 Introduction to Artificial Neural Networks
  • CSS 342 Data Structures, Algorithms, and Discrete Mathematics I
  • CSS 343 Data Structures, Algorithms, and Discrete Mathematics II
  • CSS 501 Data Structures and Object-Oriented Programming I
  • B BIO 480 Neurobiology

Teaching Interests

As a founding faculty member here at UW Bothell, and a near-founding-faculty member at HKUST, Dr. Stiber has been involved in the development and teaching of a broad cross-section of the computer science core, as well as a range of upper-level undergraduate and graduate electives. Subjects he has taught include: introductory, medium-level, and advanced programming, programming tools, object-oriented design, data structures and algorithms, discrete mathematics, calculus, technical writing for software professionals, computer graphics, computer vision, visualization, multimedia, computer architecture, artificial intelligence, neural networks, complex systems, signal processing, and expert systems.

Research and Scholarship Interests

Dr. Stiber’s research lies at the intersection of complex networks, modeling, high performance simulation, data/metadata/paradata management, and analysis and visualization. He has applied these interests to problems in computational neuroscience, artificial intelligence, cybersecurity, and nonlinear dynamics. His near-term research focuses on two projects: modeling of emergency services communications systems (ESCS; 911 in North America) and modeling of growth and development of cultures of biological neural networks.

Recent Publications

① used to denote student authors

  • Dhanasekaran, H.① and M. Stiber, “Graph Neural Network Interpretation of Bursting in Biological Neuronal Networks”, 2026 IEEE World Congress on Computational Intelligence, Maastricht, The Netherlands, submitted, 2026.
  • Stiber, M., N. Gonzales①, and J.Y.H. Lee, “Spatiotemporal bursting in simulated cultures of cortical neurons”, BioSystems, submitted, 2025.
  • Arndorfer, V.① and M. Stiber, “Effects of Spike Timing Dependent Plasticity on Structure and Behavior of Simulated Neural Networks”, 14th International Conference on Complex Networks and their Applications, Binghamton, NY, December 9–14, 2025.
  • Stiber, M. and N. Gonzales①, “Spatiotemporal bursting in simulated cortical cultures”, International Workshop on Neural Coding, Ascona, Italy, July 2–5, 2025.
  • Martinez Jordan, J.①
  • and M. Stiber, “Graph-based Modeling and Simulation of Emergency Services Communication Systems”, 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Krakow, Poland, October 21–23, 2024.
  • Cohen, M.①, J. Martinez Jordan①, S.M. Sotebeer, M. Stiber, “Paradata in Emergency Service Communications”, in Perspectives to Paradata: Research and Practices of Documenting Data Processes, I. Huvila, L. Andersson, O. Sköld, eds., Springer, Cham, Switzerland, https://link.springer.com/book/10.1007/
    978-3-031-53946-6_10, 2024.

Recent Grants

  • “Context and Provenance for Disaster Data”, InterPARES Trust AI and the Social Sciences and Humanities Research Council of Canada, PI, with co-investigators: Erik Borglund (Mid Sweden University), Megan Cohen (University of British Columbia), Barbara Endicott-Popovsky (Portland State University), Scott Sotebeer (USA Strategics), and Samuel Tweneboah-Koduah (Ghana In-
    stitute of Management and Public Administration).
  • “An Intelligent Testbed for Critical Infrastructure”, National Security Agency, $299,945.

Fulbright Scholar Award, Czech Academy of Sciences, Prague, Czech Republic, Winter 2018

Administrative Positions

  • Chair, Computing & Software Systems Division, School of Science, Technology, Engineering & Mathematics, 2023-25
  • Director of Cybersecurity Initiatives, School of Science, Technology, Engineering & Mathematics, 2022-23
  • Associate dean, School of Science, Technology, Engineering & Mathematics, 2013-2019

Professional Service

Chair, IEEE Computational Intelligence Society Seattle Section, 2026