Erica Kido Shimomoto

e-mail: kidoshimomoto.e (at) aist.go.jp

I am a researcher at the Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST, member of the Language and Information Research Team)(former KIRT).

My research topics involve natural language processing, computer vision and pattern recognition. More specifically, my main line of study is the investigation of subspace based-methods and its applications on word embedding. Recently, I have started to dive into the multimodal world, trying to develop less data-hungry model and/or reduce the computational need of existing models.

I give a brief explanation about my research in the following video: [YouTube]

I love seeing computers doing human jobs really well. However, I am even more interested in understanding how they can do such jobs so well. If you cannot understand it, how can you trust it?

I also enjoy developing applications involving robotics and electronics.