Time: 10:30 – 12: 30 (JST), May 24, 2024.

Location: R205, Education & Research Building No. 8, Muroran Institute of Technology, 27-1 Mizumoto-cho, Muroran, Hokkaido, 0508585 Japan.

CO-ORGANIZED BY:

IEEE Muroran Institute of Technology Student Branch

IEEE Sapporo Section Young Professionals (YP)

Emerging Networks and Systems Laboratory (ENeS), Muroran Institute of Technology

Topic 1: Network Infrastructure to Realize City as a Service

Speaker 1: Sumiko Miyata, Associate Professor, Tokyo Institute of Technology, Japan

Abstract:

My research area is network infrastructures to realize “City as a Service” in smart cities, where city services can be used like applications on a smart phone. In order to realize various services in City as a Service, large amounts of monitoring data need to be processed quickly and reliably. My research interests include traffic control and information security. In this presentation, I will describe network infrastructure technologies to realize City as a Service from the viewpoint of traffic control and information security. This presentation will also introduce our efforts to realize a secure data management system using a start-up grant from the Tokyo Metropolitan Government, and examples of our participation in overseas exhibitions related to our proposed network infrastructure.

Biography:

Sumiko Miyata received the B.E. degree from the Shibaura Institute of Technology in 2007, and the M.E. and D.E. degrees from the Tokyo Institute of Technology in 2009 and 2012, respectively. From 2012 to 2015, she was a Research Associate at Kanagawa University. She was an Assistant Professor at the Shibaura Institute of Technology from 2015 to 2018, and then in 2018 became an Associate Professor at the Shibaura Institute of Technology. In 2024, she became an Associate Professor at the Tokyo Institute of Technology. Her research interests include mathematical modeling and analysis for QoS performance evaluation, queuing theory, game theory and resource allocation problems in communication networks, and information security. 

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Topic 2: Estimating and improving image quality for humans and AI using optimization, generative models, and vision language models

Speaker 2: Takamichi Miyata, Professor, Chiba Institute of Technology, Japan

Abstract:

The widespread use of smartphones has made it common for us to communicate using images in our daily lives. Furthermore, in recent years, images are used not only for communication between humans, but also for various advanced decisions using AI. Degradation of these images due to noise generated during image acquisition and compression coding can degrade the quality of communication using these images and the recognition accuracy of AI. This presentation will introduce the results of research to date related to estimating the perceptual quality of images containing degradation and removing the degradation. Mathematical optimization such as tensor restoration, as well as how deep learning, especially diffusion image generation models and vision language models, can be applied to this task will be explained in detail.

Biography:

Takamichi Miyata received B.E. and M.E. degrees from the University of Toyama in 2001 and 2003, respectively, and a Ph.D. degree from the Tokyo Institute of Technology in 2006, where he joined as an Assistant Professor. From 2012 to 2014, he was an Associate Professor with the Chiba Institute of Technology, where he has been a Professor since 2014. His current research interests include image processing. He received the Excellent Paper Award from the IEICE in 2013.

Contact:

Emerging Networks and Systems Laboratory (ENeS)

Email: [email protected]