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Past Event Reports

Workshop 2019.05.27

May Plenary Meeting Announcement

In the May Plenary Meeting, students reported on their Research Internship and Global Challenge II. Then, the proposals for this year's Creative Research Project were announced.

DateMonday, May 27th, 2019 17:00-20:00
LocationMonday, May 27th, 2019 17:00-20:00

Here is a summary of each topic:

Research Internship

In a research internship, students visit a business and engage in a research project. There, they can experience the structure and management of enterprise research facilities. This time, one student reported in his research internship. Other than details on the research topic, he also talked about his intentions for participating in the research internship, as well as his experiences and knowledge gained.

Mr. Hatasa worked on determining an optimal thermal radiation design for integrated circuits. He attempted to solve this problem in two steps: first, developing a temperature distribution estimation model using machine learning, second, developing an interactive simulation tool that enables engineers to discuss issues in real time. In his report, he stated that the interactive simulation tool allowed them to estimate the temperature distribution faster than a more basic simulation without losing accuracy.

Here is a summary of the research internship:

StudentGoki Hatasa (Fourth inaugural class, Graduate School of Engineering)
LocationPanasonic Corporation
TopicPanasonic Corporation

Global Challenge II

In Global Challenge II, students visit a top-tier international research institution. While participating in competitive research, they can practice communication and interaction with international researchers. This time, four students reported on their experiences during the Global Challenge II.

They reported that by receiving guidance from top-level researchers, they had a rewarding experience in studying how to tackle research problems. Regarding differences to the academic environment at a university, they experienced that the research groups had a higher level of security, but also a higher feeling of union.

There were also students whose research topic during the Global Challenge II was different from their research topic at university. Thus, during this project, they could study a wide knowledge of modeling tasks and frameworks related to machine learning.

The following shows the students participating in this Global Challenge II and the research institution it took place at:

StudentTakahiro Yamakoshi (Third inaugural class, Graduate School of Informatics)
LocationKasetsart University (Thailand)
TopicNatural Language Processing in Thai and e-Legislation
StudentXinxian Zhang (Second inaugural class, Graduate School of Engineering)
LocationTechnical University of Madrid (Spain)
TopicOn supporting turbulence theory with mechanical simulations
StudentHong Xu (Third inaugural class, Graduate School of Economics)
LocationThe Institute of Statistical Mathematics (ISM)
TopicSolving imbalanced data problems in databases for SMEs
StudentHatem Abdelhameed Darweesh (First inaugural class, Graduate School of Information Science)
LocationLinaro
TopicPlatform analysis for autonomous driving system development

Announcement of proposals for the Creative Research Project 2019

The following projects were proposed for this year's Creative Research Project. Each proposal has been evaluated by students, internal professors, and business mentors. The evaluation was based on four criteria related to the problem definition, the proposed solution, and so on. The selected proposals will be part of research during this year.

  1. #ATMOS
    Proposed by Etsutaro Kamino
    Summary:
    This project aims to develop a system that adds atmosphere information like the amount of nature and noise volume around a property to real estate systems. For the landlord, this would allow the property value to rise, while for the renter, it allows searching for a more suitable property in larger detail. This gives merits to both sides. Using machine learning, we want to generate atmosphere labels automatically.
  2. Smart Factory by SLAP:Simultaneous Localization and Planning
    Proposed by Hyuntai Chin
    Summary:
    This project aims to develop an automated guided vehicle system for indoor environments such as factories and warehouses. We estimate the position and route design of the automated guided vehicles (AGVs) using Simultaneous Localization and Planning (SLAP,) and verify the effectiveness of the proposed system with the cooperation of companies.

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