Sebastian Hasler

2022

1. Hussam Amrouch, Jens Anders, Steffen Becker, Maik Betka, Gerd Bleher, Peter Domanski, Nourhan Elhamawy, Thomas Ertl, Athanasios Gatzastras, Paul R. Genssler, Sebastian Hasler, Martin Heinrich, Andre van Hoorn, Hanieh Jafarzadeh, Ingmar Kallfass, Florian Klemme, Steffen Koch, Ralf Küsters, Andrés Lalama, Raphael Latty, Yiwen Liao, Natalia Lylina, Zahra Paria Najafi-Haghi, Dirk Pflüger, Ilia Polian, Jochen Rivoir, Matthias Sauer, Denis Schwachhofer, Steffen Templin, Christian Volmer, Stefan Wagner, Daniel Weiskopf, Hans-Joachim Wunderlich, Bin Yang, and Martin Zimmermann, “Intelligent Methods for Test and Reliability,” in 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, 2022, pp. 969--974.
   • Abstract
   • BibTeX
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   Abstract

   Test methods that can keep up with the ongoing increase in complexity of semiconductor products and their underlying technologies are an essential prerequisite for maintaining quality and safety of our daily lives and for continued success of our economies and societies. There is a huge potential how test methods can benefit from recent breakthroughs in domains such as artificial intelligence, data analytics, virtual/augmented reality, and security. The Graduate School on “Intelligent Methods for Semiconductor Test and Reliability” (GS-IMTR) at the University of Stuttgart is a large-scale, radically interdisciplinary effort to address the scientific-technological challenges in this domain. It is funded by Advantest, one of the world leaders in automatic test equipment. In this paper, we describe the overall philosophy of the Graduate School and the specific scientific questions targeted by its ten projects.

   BibTeX

   @inproceedings{GS-IMTR-DATE-2022, abstract = {Test methods that can keep up with the ongoing increase in complexity of semiconductor products and their underlying technologies are an essential prerequisite for maintaining quality and safety of our daily lives and for continued success of our economies and societies. There is a huge potential how test methods can benefit from recent breakthroughs in domains such as artificial intelligence, data analytics, virtual/augmented reality, and security. The Graduate School on “Intelligent Methods for Semiconductor Test and Reliability” (GS-IMTR) at the University of Stuttgart is a large-scale, radically interdisciplinary effort to address the scientific-technological challenges in this domain. It is funded by Advantest, one of the world leaders in automatic test equipment. In this paper, we describe the overall philosophy of the Graduate School and the specific scientific questions targeted by its ten projects.}, address = {Antwerp, Belgium}, author = {Amrouch, Hussam and Anders, Jens and Becker, Steffen and Betka, Maik and Bleher, Gerd and Domanski, Peter and Elhamawy, Nourhan and Ertl, Thomas and Gatzastras, Athanasios and Genssler, Paul R. and Hasler, Sebastian and Heinrich, Martin and van Hoorn, Andre and Jafarzadeh, Hanieh and Kallfass, Ingmar and Klemme, Florian and Koch, Steffen and K{\"u}sters, Ralf and Lalama, Andrés and Latty, Raphael and Liao, Yiwen and Lylina, Natalia and Najafi-Haghi, Zahra Paria and Pfl{\"u}ger, Dirk and Polian, Ilia and Rivoir, Jochen and Sauer, Matthias and Schwachhofer, Denis and Templin, Steffen and Volmer, Christian and Wagner, Stefan and Weiskopf, Daniel and Wunderlich, Hans-Joachim and Yang, Bin and Zimmermann, Martin}, booktitle = {2022 Design, Automation {\&} Test in Europe Conference {\&} Exhibition (DATE)}, month = {3}, pages = {969--974}, publisher = {{IEEE}}, title = {Intelligent Methods for Test and Reliability}, url = {https://publ.sec.uni-stuttgart.de/gs-imtr-date-2022.pdf}, year = 2022 }

   Link

   https://publ.sec.uni-stuttgart.de/gs-imtr-date-2022.pdf