Michael Widrich phone: +43-732-2468-4534 fax: +43-732-2468-4539 e-mail: widrich(at)bioinf.jku.at Room: S3 327 (Computer Science Building, Science Park 3)

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Research Topics

• 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

Publications

• 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 Driving, Machine Learning for Intelligent Transportation Systems, in conjunction with Neural Information Processing Systems (NIPS), 2016, link

Teaching

• 2017/18 winter term: Exercises in Bioinformatics
• 2017/18 winter term: Introduction to Python
• 2017 summer term: Exercises in Machine Learning: Unsupervised Techniques

Software

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

Education

• 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

Emloyment Record

• 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

© 2012 by Institute of Bioinformatics, Johannes Kepler University Linz, A-4040 Linz, Austria [view imprint]