Paper Info
Title
Intelligent Methods for Test and Reliability
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.
Year
DOI
Venue
2022
10.23919/DATE54114.2022.9774526
PROCEEDINGS OF THE 2022 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2022)
DocType
ISSN
Citations 
Conference
1530-1591
0
PageRank 
References 
Authors
0.34
0
35
Name
Order
Citations
PageRank
Hussam Amrouch125150.22
J. Anders200.34
S. Becker300.34
M. Betka400.34
G. Bleher500.34
P. Domanski600.34
N. Elhamawy700.34
Thomas Ertl84417401.52
A. Gatzastras900.34
P. Genssler1000.34
S. Hasler1100.34
M. Heinrich1200.34
A. van Hoorn1300.34
H. Jafarzadeh1400.34
I Kallfass1500.34
F. Klemme1600.34
Steffen Koch1734126.58
R. Kuesters1800.34
A. Lalama1900.34
R. Latty2000.34
Y. Liao2100.34
N. Lylina2200.34
Z. Najafi Haghi2300.34
D. Pflueger2400.34
I Polian2500.34
J. Rivoir2600.34
M. Sauer2700.34
D. Schwachhofer2800.34
S. Templin2900.34
C. Volmer3000.34
S. Wagner3100.34
D. Weiskopf3200.34
Hans-Joachim Wunderlich331822155.30
Bin Yang3420149.22
M. Zimmermann3500.34