John Kibarian

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John Kibarian is president, CEO, and Co-Founder of PDF Solutions. He has served as president since 1991, and CEO since 2000. Kibarian received a Bachelor of Science degree in Electrical Engineering, a Master of Science and PhD degrees in Engineering Computer Science from Carnegie Mellon University.

Author's Latest Posts

Semiconductor Manufacturing’s Transformational Challenges

By John Kibarian - 14 Jan, 2025 - Comments: 0

Semiconductor manufacturing is going through massive transformational challenges driven by strong demand for advanced computing, fueled by AI, cloud, the electrification of the economy, and the need for compute power in data centers to support these applications. With the slowdown of Moore’s Law, more compute power will not be achieved by just increasing transistor density. Not only is Moo... » read more

AI Predictive Modeling Tools Move Into Critical Role To Leverage AI, ML

By John Kibarian - 10 Dec, 2024 - Comments: 0

The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, inflate research and development costs, and lead to expensive delays when problems arise. As manufacturers navigate these challenges, the need for comprehensive prediction of manufacturing proble... » read more

AI’s Ability To Deliver Breakthroughs Across Semiconductor Design And Manufacturing

By John Kibarian - 12 Nov, 2024 - Comments: 0

AI holds great promise for our industry. It will help close the divide between design, manufacturing and test that is required to effectively produce today’s most advanced hybrid devices. One way to look at the potential impact of AI in the semiconductor industry is to realize that it is more and more driven by software engineering. When designing a chip, it’s essentially like writing... » read more

AI’s Power To Transform Semiconductor Design And Manufacturing

By John Kibarian - 28 Oct, 2024 - Comments: 0

Artificial intelligence and machine learning (AI/ML) have immense power to transform semiconductor design and manufacturing for a variety of broad and far-ranging applications. Just consider the volume of data generated by design and manufacturing each year. With increasingly complex products, machines, processes and supply chains, the overall amount of data associated with semiconductor making... » read more