Seminar "Introduction to Network Analysis and Applications"
Speaker: Mei Kobayashi, Research Engineer at EAGLYS, Adjunct Faculty Member at Tsuda University and Visiting Researcher at Okinawa Institute of Science and Technology
Title: Introduction to Network Analysis and Applications
Analysis of massive data sets has been widely adopted as part of the DX strategies of many corporations and institutions.
Traditionally, businesses dealt primarily with statistical and predictive analysis using numbers and categories.
However, the emergence of social media companies and online shopping has brought about a renaissance in the study of networks and their analysis.
This talk will be a friendly introduction to networks, network analysis & applications, network visualization, and AI for network analysis.
Mei Kobayashi received a Bachelor’s degree from Princeton University in Chemistry and an MA and PhD in Applied Mathematics from the University of California at Berkeley. In 1988, she joined IBM Research as a Researcher and was promoted to Senior Researcher and Technical Advisor to the Director at IBM Research in Tokyo for her work on simulations, wavelets, multimedia data analysis, and text mining. In 2016 she joined NTT Communications, Customer Services Division in Tokyo as a Data Science Specialist and Manager to implement a company-wide DX initiative. In 2021 she joined EAGLYS, a start-up in Tokyo, specializing in secure computing and AI/ML/DL. She has been actively involved in academia. She was a Visiting Associate Professor at the University of Tokyo, when she edited a book on wavelets published by SIAM. She has taught courses at the University of Tsukuba, University of Electro-Communications, Hiroshima University, and Kyoto University. She is currently an Adjunct Faculty Member of Tsuda University and a Visiting Researcher at Okinawa Institute of Science and Technology. She is an Editorial Board Member of the Communications of the ACM (CACM) – News Section, and recently became the founding Editor of the Careers in Computing Section of CACM.
Meeting URL: https://oist.zoom.us/j/96551882697?pwd=WlI5S0ZFR1dIbTlkVGFOUjJHWGpDdz09
Meeting ID: 965 5188 2697
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