Keynote 1:

Rakshith Amarnath, Robert Bosch GmbH
Chasing the Robo-Taxi Dream

Short abstract:
Future automotive computing platforms are a hub for technology integration. In fact, urban automated driving aka Robo-Taxi is becoming the holy grail of autonomous systems safety. This talk paints a picture of the impending challenges regarding safety assurance as the automotive sector evolves from advanced driver assistance towards self-driving Robo-Taxis. I conclude the talk by giving a link to some of the vital ingredients that help engineers make the Robo-Taxi dream a reality.
Short bio:
Rakshith Amarnath comes from the city of Bangalore in India. He has a Masters in Embedded Systems from the Delft University of Technology in Netherlands. He is currently working on dependable computing (e.g. applied for autonomous driving at Bosch Corporate Research) where he is leading a project on assuring software dependability and is also representing Bosch's research topics in the German federal ministry's publicly funded projects.

Keynote 2:

Jochen Rivoir, Advantest Europe GmbH
- vertreten durch -
Dr. Matthias Sauer, Advantest Europe GmbH
Towards intelligent methods for test and reliability

Short abstract:
Moore's law continues to enable more complex or lower cost ICs for an interconnected world of IoT, 5G, AR/VR, Industry 4.0, ADAS, big data analytics, and AI - on which our entire society relies increasingly. Test throughout the value chain will have to ensure unprecedented levels of dependability of the underlying hardware, despite exploding complexity and shortening time-to-market expectations. These challenges call for intelligent automated test solutions that bridge gaps in workflows and value chains. This keynote will talk about these trends, their implications, and propose some ideas with emphasis on post silicon validation and system level test. Hurdles for deployment of machine-learning in test will be discussed, hoping to stimulate further research and collaboration.
Short bio:
Jochen Rivoir ist Advantest Fellow im Applied Research and Venture Team von Advantest. Er arbeitet seit 1985 in Forschung und Entwicklung bei Hewlett-Packard, Agilent, Verigy und jetzt Advantest in Deutschland. Seine berufliche Leidenschaft gilt innovativen generischen Lösungen für Herausforderungen im Bereich Halbleitertest, wobei zunehmend Methoden des machinellen Lernens zur Geltung kommen.