We are at the forefront of data compression research. Specifically, we focus on a technology called 'succinct data structures', which supports various operations while keeping the data compressed. In today's world, there's an ongoing trend of data becoming more massive, and there's a demand for efficient processing methods. Succinct data structures enable the rapid and memory-efficient handling of large volumes of data. Through the application of this technology, we are advancing research in artificial intelligence and knowledge discovery aimed at efficiently processing large-scale data.

Specifically, we have been conducting the following researches.

• Theory and practice on data compression (LZ77, grammar compression, succinct data structure (e.g., wavelet tree))

• Machine learning (Large-scale learning, similarity search)

• AI drug discovery

• Data mining for large trajectory data