Plenary Speaker

MNC 2025 Plenary Speakers List

Dr. Teruo Fujii, President, UTokyo, Japan

Paper Title
Toward the Great Convergence - beyond the silicon-based AI

Short Biography
Dr. Teruo Fujii is the 31st President of the University of Tokyo (UTokyo). He was previously the Executive Vice President in charge of finance and external relations for the university and took the office of the President on April 1, 2021. He has also served as an Executive Member (part-time) of the Japanese Cabinet Office's Council for Science, Technology and Innovation from March 2021 until February 2024.
Dr. Fujii received his Ph.D. in engineering from UTokyo in 1993. His research specializes in applied microfluidics systems and underwater technology.

Short Abstract
The hype of generative AI has led to the huge demand for silicon-based advanced semiconductor devices, and rapid increase in the number of data centers around the world. Even with the cutting-edge semiconductor technologies with high computation efficiency, this trend will be contrary to the idea of sustainability in terms of energy consumption. On the other hand, there's literally a living example of computing machines, i.e., biological computation running in living organisms with very low energy consumption. Here I would like to show the pioneering works in the field of molecular computing based on microfluidic technologies, that is opening up new ways of computation beyond the silicon-based devices. And the strong needs for the great convergence between bio-, silicon- and quantum technologies in the intelligent age will be discussed.

Dr. Jeff Burns, Director of AI Compute, IBM Research, USA

Dr. Vivek Singh, NVIDIA, USA

Dr. Takuya Yasui, TSMC Japan Design Center, Japan

MNC 2025 Plenary Speakers List
Dr. Teruo Fujii, President, UTokyo, Japan Paper Title Toward the Great Convergence - beyond the silicon-based AI Short Biography Dr. Teruo Fujii is the 31st President of the University of Tokyo (UTokyo). He was previously the Executive Vice President in charge of finance and external relations for the university and took the office of the President on April 1, 2021. He has also served as an Executive Member (part-time) of the Japanese Cabinet Office's Council for Science, Technology and Innovation from March 2021 until February 2024. Dr. Fujii received his Ph.D. in engineering from UTokyo in 1993. His research specializes in applied microfluidics systems and underwater technology. Short Abstract The hype of generative AI has led to the huge demand for silicon-based advanced semiconductor devices, and rapid increase in the number of data centers around the world. Even with the cutting-edge semiconductor technologies with high computation efficiency, this trend will be contrary to the idea of sustainability in terms of energy consumption. On the other hand, there's literally a living example of computing machines, i.e., biological computation running in living organisms with very low energy consumption. Here I would like to show the pioneering works in the field of molecular computing based on microfluidic technologies, that is opening up new ways of computation beyond the silicon-based devices. And the strong needs for the great convergence between bio-, silicon- and quantum technologies in the intelligent age will be discussed.
Dr. Jeff Burns, Director of AI Compute, IBM Research, USA
Dr. Vivek Singh, NVIDIA, USA
Dr. Takuya Yasui, TSMC Japan Design Center, Japan