Past Gakuyugo Seminar |

AY2021 2nd Gakuyugo Seminar

Date&Time:
May 19, 2021 16:50~18:35
Venue:
Held online
Professor Yoichiro Kamatani

Progress in genome analysis of complex traits

Professor Yoichiro Kamatani

Complex traits are traits that are not determined by a single genetic mutation in a single gene (Mendelian traits). This is true for height, eyesight, personality, etc., but our research focuses on familiar diseases such as hypercholesterolemia and brain aneurysms, which are often found in health checkups. The genomic approach to these diseases was called a nightmare in the 20th century, and was said to be impossible to find in the early 21st century, but in the last few years, a ray of light has appeared. I would like to introduce the progress in genome analysis of complex traits.

Visiting Professor Masaaki Mochimaru

Social implementation of human augmentation technology using smart city projects

Visiting Professor Masaaki Mochimaru

Human augmentation is a technology that "accompanies and adapts to people. The core of human augmentation is the research on system integration of wearable sensing that acquires the state and environment of a person, digital human that estimates the internal state of a person, and robotics and VR/AR technologies that intervene to improve the performance of a person. This presentation will introduce the service engineering that creates "experience value" based on this system, and the comprehensive research efforts leading up to the smart city project that verifies it in the field.

Professor Hiroko Mitarai

Possibility of High Temperature Shape Memory Alloys by High Entropy

Professor Hiroko Mitarai

The principles and applications of shape memory alloys will be introduced, and high temperature shape memory alloys will be discussed as a new application field. In addition, the possibility of developing new alloys by applying high-entropy alloys as shape memory alloys, which have been attracting attention recently, will be introduced.

*The contents of this page were developed based on a machine translation.