Company Filing History:
11 out of 672 
2 out of 209 
1 out of 3 Years Active: 2007-2023
Title: Innovations of Kun-Han Tsai
Introduction
Kun-Han Tsai is a notable inventor based in Lake Oswego, Oregon, with a remarkable portfolio of 16 patents. His work primarily focuses on advancements in machine learning and circuit design, contributing significantly to the field of technology.
Latest Patents
Among his latest patents, one notable invention is related to input data compression for machine learning-based chain diagnosis. This technology involves injecting faults into scan chains within a circuit design. Simulations are conducted on the fault-injected circuit design to identify test response patterns. The observed failing bit patterns are determined by comparing the unloaded test response patterns with those from a functioning machine. Bit-reduction techniques are employed on these failing patterns to create training samples for machine-learning models aimed at identifying faulty scan cells. The bit reduction process includes pattern-based and cycle-based bit compression, along with bit-filtering to retain only sensitive bits on faulty scan chains.
Another significant patent is the multi-stage machine learning-based chain diagnosis. This invention also involves injecting faults into scan chains and performing simulations to determine observed failing bit patterns. The process includes constructing first training samples through bit-reduction and training first-level machine-learning models. Affine scan cell groups are identified, and second training samples are prepared through bit-filtering. This multi-stage approach enhances the accuracy of machine learning models in diagnosing faults in scan chains.
Career Highlights
Kun-Han Tsai has made substantial contributions to the field through his work at Mentor Graphics Corporation. His innovative approaches have paved the way for advancements in machine learning applications within circuit design.
Collaborations
Throughout his career, Kun-Han has collaborated with esteemed colleagues, including Wu-Tung Cheng and Janusz Rajski. These collaborations have further enriched his contributions to the field of technology.
Conclusion
Kun-Han Tsai's innovative work in machine learning and circuit design has led to significant advancements in technology. His patents reflect a deep understanding of complex systems and a commitment to improving diagnostic processes in circuit design.