DATE 2022 fully virtual event

DATE 2022: fully virtual event -- ONSITE days moved ONLINE

We have been planning a special format for DATE 2022, aiming at bringing back the community together after two editions online, trying to balance the uncertainty of the situation and the desire to be partially back in presence. A special program has been organized to start the conference with two days in presence, full of outstanding talks and moments to meet and chat.
However, the current situation of the covid-19 infections across Europe and the consequent travelling/quarantine restrictions adopted by governments, companies and institutions have a strong impact on our health concerns and travelling opportunities, for speakers as well as attendees.
The "in presence" experience remains a fundamental aspect of any conference and of DATE in the specific, for its many networking moments, as well as for the social activities, however the safety of the community is once more a priority. Therefore, after thoughtfull discussion, the DATE Steering Committee opted to move DATE 2022 to a completely virtual event, moving the program of the first two days online also.

Although there is no way to mitigate the disappointment of not being able to meet in person, we trust the rich and interesting program will bring us together online to comment and contribute to the exciting talks and conversations with the speakers and authors of full DATE 2022 program.

Graduate School Intelligent Methods for Test and Reliability

Project Acronym
Project Type
Graduate School at the University of Stuttgart funded by Advantest
Project Dates
Contact Person
Prof. Dirk Pflueger (coordinator), Prof. Hussam Amrouch

Project Partners

  • Advantest Europe, Boeblingen
  • Institute of Computer Architecture and Computer Engineering, University of Stuttgart
  • Institute of Information Security, University of Stuttgart
  • Institute for Parallel and Distributed Systems, University of Stuttgart
  • Institute of Robust Power Semiconductor Systems, University of Stuttgart
  • Institute of Signal Processing and System Theory, University of Stuttgart
  • Institute of Smart Sensors, University of Stuttgart
  • Institute of Software Technology, University of Stuttgart
  • Institute for Visualization and Interactive Systems, University of Stuttgart
  • Visualization Research Center (VISUS), University of Stuttgart


Test methods are a main pillar of the semiconductor technology and are an essential prerequisite for obtaining high-quality products at reasonable cost. To give a major impetus on applied semiconductor test and reliability research, Advantest, a major automatic test equipment (ATE) vendor, and the University of Stuttgart jointly established a Graduate School on “Intelligent Methods for Semiconductor Test and Reliability” (GS-IMTR).

1. What makes the project concept unique?

For the first time, a company funds a multi-partner Graduate School within a University, thus supporting ten PhD candidates and one Assistant Professor with projects selected using a competitive peer-review-based process. This brings together focused interdisciplinary expertise in fields as diverse as machine learning; visualization; security; radio-frequency circuit design; emerging technologies and architectures.

2. What project outcomes can be of use to the DATE 2022 community?

The overarching question of GS-IMTR is how to leverage data generated across the whole semiconductor value chain: during post-silicon validation, test and in-field operation. Notable expected contributions are in deep learning and visual analytics for test data; system-level test; software test suite optimization; secure testing; millimeter-wave radio frequency design; and testing of emerging technologies.

3. What inputs (solutions) are expected from the DATE 2022 community?

GS-IMTR is interested in both: new problems to which its methodologies are applicable, and specific use cases for the solutions established. GS-IMTR includes funds to facilitate international collaboration that can be used for pursuing specific scientific ideas.

4. What new research topics and trends the project introduces?

GS-IMTR follows a radically interdisciplinary approach to semiconductor testing that goes beyond its current state of the art. For example, topics such as visualization of test data or privacy-preserving test applications have not received attention so far.