Ing. Peter Gabstur

internal phd student

slovakia
  • +421 55 602 6314
  • peter.gabstur@tuke.sk
  • Sturova 31, Office no. 8.

The area on which the internal doctoral student focuses is research on predicting the occurrence of errors using IoT elements and artificial intelligence in technological processes. He also deals with the use of generative design in the field of additive manufacturing and robotics. He also controls several software for creating 3D models, drawing documentation, PLM (for product life cycle management) and simulations.

CURRICULUM VITAE

  • 2023 – to present: Internal PhD student, Faculty of manufacturing technologies with a seat in Presov.
  • 2023 – to present: Position of designer in the company MSK Cabins s.r.o.
education:
  • 2021 – 2023: Master of Engineering (M. Eng.) Second level univeristy degree, state exam in the field: „Computer aided of manufacturing technologies“ Technical University of Kosice, Faculty of manufacturing technologies with seat in Presov, Slovakia – completed with honors.
  • 2018 – 2021: Bachelor (Bc.) First level univeristy degree, state exam in the field: „Computer aided of manufacturing technologies“ Technical University of Kosice, Faculty of manufacturing technologies with seat in Presov, Slovakia – completed with honors.
  • 2014 – 2018: Secondary school “Graduation“ in the study program Mechanics-Electrical Engineering, Stara Lubovna Technical Vocational School – completed with honors.

LANGUAGE SKILLS

  • English language.

FIELD OF INTEREST

  • Additive technology; artificial intelligence; generative design; robotics; internet of things.

AWARDS – CERTIFICATES

  • 2023: Rector’s Award of the Faculty of manufacturing technologies with a seat in Presov.
  • 2023: Award of the dean of the Faculty of manufacturing technologies with a seat in Presov. (Technical University in Košice).
  • 2021: Award of the dean of the Faculty of manufacturing technologies with a seat in Presov. (Technical University of Košice).

FOREIGN STAYS

  • None yet.

TEACHING

SEMINARS:
  • Simulation of processes and systems
  • Computer modelling I.