Mitsubishi Electric IT R&D / Industrial Design (IDC)

If you're passionate about Research & Development in IT, learn more about this opportunity

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From it's founding in 1921, Mitsubishi Electric has been at the forefront of Japan's technical ingenuity and product innovation. From its first hit product - an electric fan for consumer use - Mitsubishi is one of the biggest electronics and electrical equipment manufacturing companies in Japan.

IDC focuses on IT-related topics, and is one of several research laboratories around the world located in Kanagawa.

Student Story|Lenna Kanehara, EECS, '22

Lenna Kanehara, EECS, '22

I was challenged technically and gained a lot of knowledge and confidence. As a rising sophomore, it really helped solidify what I wanted to study at MIT.

Lenna with some of her friends during an outing

I worked at Mitsubishi Electric’s research center in Ofuna. My group was the radar group, who is responsible for developing technology for satellite images and airport security. I worked on developing an efficient algorithm to create an image using radar signals. I gained a lot of knowledge about signal processing involved in radar technology and became more interested in the field of signals in electrical engineering.

Student Story|William Xue, EECS, '17

William Xue, EECS, '17

"After this internship, due to a mix of good things I saw and experienced while working for Mitsubishi Electric, I am now more inclined to consider a longer term career in Japan."

William in front of the Mitsubishi office

My internship project essentially consisted of developing a prototype for an idea my supervisor had.

Firstly, I was assigned with doing background research to better understand the Japanese train situation, particularly the imbalance of crowdedness in different train cars (especially during rush hours). To address this, I researched context aware technologies to gain a better idea of what was needed to come up with a solution to this problem.

Then with this newfound knowledge, I developed a model of user movement for the purpose of predicting the number of users boarding and getting off a train. With this, it became possible to develop an application that allowed passengers to compare the crowdedness of train cars and decide which cars to take from there, reducing the imbalance of crowdedness in different train cars. Finally, I implemented a prototype of this application.

I based the model off of a machine learning model I had learned at MIT. Additionally, the application was developed for Android in Java, which I gained experience with at MIT.