Graduate-level Research in Industrial Projects for Students (G-RIPS) – Sendai 2023

June 19 - August 8, 2023

Sponsors and Projects

The industrial partners for GRIPS Sendai 2023 include:



Industrial partner: Advanced Technology R&D Center, MITSUBISHI Electric Corp.

Project title: Construction of metrics for map matching between travel trajectories and map graphs

Project Description:

In this project, students will formulate a new map-matching algorithm based on an analysis of previous studies using hidden Markov models. Some basic knowledge of elementary geometry, probability, statistics, and graph theory is desirable.

You can find a detailed project description here: ProjectDescription_Mitsubishi-A


Industrial Partner: Information Technology R&D Center, Mitsubishi Electric Corp.

Project Title: Novel technique to estimate wave spectra using ocean HF radar for environmental monitoring.

Project Description:

In this project, students will develop new methods to estimate the wave spectra of ocean waves based on high-frequency radar measurements. Such models are important for a number of applications ranging from disaster prevention to improving the efficiency of marine transport and the fishing industry, and more generally for environmental monitoring of the oceans.

You can find a detailed project description here: ProjectDescription_Mitsubishi-B

Project 3: FUJITSU

Industrial Partner: Fujitsu Ltd.

Project Title: Enhancing explainability of modern AI.

Project Description:

Fujitsu has developed “Wide Learning”: explainable AI (XAI) that combines discovery science and machine learning. In this project, students will develop an enhanced view of explanations of Wide Learning assisted by mathematics.

You can find a detailed project description here: ProjectDescription_Fujitsu

Project 4: IHI

Industrial Partner: IHI Corp.

Project Title: Mathematics for trajectory extrapolation using vehicle and human traffic data toward zero traffic fatalities.

Project Description: IHI has developed a unique LiDAR sensor (3D Laser Radar) to support automation of industrial machinery in harsh environments with poor visibility. In this project, students will use LIDAR data to analyze and predict vehicle trajectories with the goal of improving the safety of traffic systems.

You can find a detailed project description here: ProjectDescription_IHI

Project 5: NEC

Industrial Partner: NEC

Project Title:

Automated negotiation for supply chain management

Project Description:

Supply Chain Management (SCM) is one of the most important industrial activities without which production cannot proceed. The goal of SCM is to make sure all required supplies are available when needed where they are needed at an appropriate cost. The goal of this project is to design, build and evaluate negotiation strategies to optimize supply chain management in a business like simulation environment.

You can find a detailed project description here: ProjectDescription_NEC