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Michael Widrich, MSc

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Forschungsthemen

  • Deep Learning and Neural Networks
  • Long Short-Term Memory Networks
  • Convolutional Neural Networks
  • Reinforcement Learning
  • Image and Video Segmentation
  • Autonomous Driving
  • Machine Learning in Bioinformatics

Publikationen

  • Michael Treml*, José Arjona-Medina*, Thomas Unterthiner*, Rupesh Durgesh, Felix Friedmann, Peter Schuberth, Andreas Mayr, Martin Heusel, Markus Hofmarcher, Michael Widrich, Bernhard Nessler, Sepp Hochreiter: Speeding up Semantic Segmentation for Autonomous DrivingMachine Learning for Intelligent Transportation Systems, in conjunction with Neural Information Processing Systems (NIPS), 2016

Lehre

Software

  • TeLL: Tensorflow Layer Library; Easy-to-use yet flexible neural network library for tensorflow, including convLSTM, LSTM, and much more!

Ausbildung

  • Oct 2016 - present: PhD in Bioinformatics, Johannes Kepler University, Linz
  • 2013-2016: MSc, Bioinformatics, with distinction, Johannes Kepler University, Linz, Austria
  • 2009-2012: BSc, Mechatronics/Robotics, with distinction, UAS Technikum Wien, Vienna, Austria

Beruflicher Werdegang

  • Oct 2016 - present: Research Assistant, Institute of Bioinformatics, Johannes Kepler University, Linz, Austria
  • Jul 2013: Internship, R&D, Plasmo Industrietechnik GmbH, Vienna, Austria
  • Jul 2012: Internship, R&D, Plasmo Industrietechnik GmbH, Vienna, Austria
  • Jul 2011 - Jan 2012: Internship with bachelor thesis, R&D, Schunk, Lauffen am Neckar, Germany