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• B. Udofia, T. Jogi, M. Stricker
  Dislocation cartography: Representations and unsupervised classification of dislocation networks with unique fingerprints. APL Machine Learning, 3, 016103, (2025)
• R. Khachaturyan, Y. Yang, S. Teng, B. Udofia, et al.
  Microscopic insights on field induced switching and domain wall motion in orthorhombic ferroelectrics. Physical Review Materials, 8, 024403, (2024)

• 25.09.2024
  Benjamin Udofia, Markus Stricker
  Identification of dislocation structures in experimental Laue microdiffraction patterns
  The 11th International Conference on Multiscale Materials Modeling, Prague, Czech Republic
• 24.06.2024
  Markus Stricker, Benjamin Udofia, Gauravkumar Lathiya, Ashish Chauniyal
  Informatics for dislocations (and defects) invited
  FAU Erlangen WW Seminar, Fürth, Germany
• 16.05.2024
  Markus Stricker, Ashish Chauniyal, Benjamin Udofia
  Improving materials characterization by combining existing methods with machine learning invited
  MRD Industry Day, ZGH, Bochum, Germany
• 07.09.2023
  Benjamin Udofia, Markus Stricker
  Identification of dislocation structures in experimental Laue microdiffraction patterns
  FEMS EUROMAT 2023, Frankfurt am Main, Germany
• 17.04.2023
  Markus Stricker, Michael Ziemann, Mario Walter, Sabine Weygand, et al.
  Materials informatic for plasticity invited
  DGM Fachausschuss Materials Modelling, Simulation, and Data, Aachen, Germany

Professional Experience

07/2019 - 01/2020: Research scholar, Indian Institute of Technology Bombay. Biofuel production from biomass (India). 2018 - 2019: Researcher, Radio Frequency Identification Research Centre. Biodegradable materials for RFID tags production (Nigeria).

Education

2019. M. Sc., Materials Science and Engineering, African University of Science and Technology

2016. B. Eng., Metallurgical and Materials Engineering, University of Nigeria Nsukka