Graduate School Intelligent Methods for Test and Reliability

Today's economy and entire society rest upon the dependability of information technology and especially of the underlying hardware infrastructure. The "Internet of Things" affects nearly all aspects of human life, introduces severe vulnerabilities into the society and relies on strong actions towards reliability, safety, and security of information technology. Examples are autonomous systems including drones and self-driving cars or infrastructure networks including communication and energy. Thoroughly tested systems are mandatory for a responsible use of technology.

The Graduate School Intelligent Methods for Test and Reliability (GS-IMTR) is a joint endeavour of the University of Stuttgart and Advantest, one of the world’s leading providers of Automated Test Equipment. Established in February 2019, it has grown across two funding phases into a vibrant, interdisciplinary research hub that bundles competencies from institutes throughout the Faculty of Computer Science, Electrical Engineering, and Information Technology. 
Its scope spans design for test and diagnosis, post-silicon validation, test generation and optimization, robust device tuning, system-level test, lifetime test and reliability management, and test automation — treated with novel methods from artificial intelligence, data science, visualization, security, and privacy. 

Six years of intelligent methods for test and reliability — and a team whose work continues to shape the field. 

• 24 doctoral researchers across tow phases and 17 Principal Investigators(41 researchers at the University of Stuttgart)
• 19 mentors from Advantest and an international Advisory Board
• 20 projects across two funding phases, plus associated projects
• 134 scientific publications and four international awards
• 4 Guest Professors and 4 IMTR Workshops at the IEEE European Test Symposium
• A first ASIC tape-out with a world-record-class, sub-picosecond time-to-digital converter
• A team from five continents