Abdullahi Ibrahim

Abdullahi Ibrahim

PostDoc

Center Synergy of Systems (SynoSys)
Georg-Schumann Str. 7a, 01069 Dresden | S7A | 2nd Floor | Room: 205

Technische Universität Dresden (TUD)

Abdullahi is a postdoc in SynoSys.PC. He has worked on a range of interdisciplinary projects including time-series prediction with machine learning, community detection in networks, and flows in multimodal transport networks. His research interests include data-driven methods, dynamical systems, non-linear systems, and machine learning. He is currently exploring approaches to causality in time series systems, with a focus on modern machine learning techniques.

Interests
  • Data-driven methods
  • Dynamical systems
  • Non-linear systems
  • Machine learning
  • Causality in time series
Education
  • Ph.D. in Computer Science, 2024

    Max-Planck-Institute for Intelligent Systems & University of Tübingen

  • M.Sc. in Math & Data Science, 2019

    African Institute for Mathematical Science

  • B.Sc. in Mathematics, 2015

    Ekiti State University, Nigeria