As principal inverstigator

	Theory, methodology and tools for tailoring CAPT feedback, Grant-in-Aid of Japan Society for the Promotion of Science (Kakenhi), 2023-2025.
	Cross-disciplinary approach to prosody-based automatic speech processing and its application to computer-assisted language teaching, Grant-in-Aid of Japan Society for the Promotion of Science (Kakenhi), 2020-2022.
	Advancing interfaces and algorithms used in traveler-centric information systems supporting geographical, cultural and historical perspectives, Grant-in-Aid of Japan Society for the Promotion of Science (Kakenhi), 2017-2019.
	Enhancing musicology analysis with computational and large language models in scope of digital humanity paradigm, University of Aizu Competitive Research Funding, AY2024.
	Music style identification: Towards demystifying transformations of Tchaikovsky’s Children’s Album with support of computational models. Stage 1, University of Aizu Competitive Research Funding, AY2021.
	Advancing methodology of programming class teaching under constraints of distant learning, University of Aizu Competitive Research Funding, AY2020.
	Speech prosody modeling, visualization and estimation in an interdisciplinary discourse, University of Aizu Competitive Research Funding, AY2018, AY2019.

As co-investigator

	Natural language generation of trend descriptions for pedagogic purposes, Grant-in-Aid of Japan Society for the Promotion of Science (Kakenhi), 2022-2024.
	Describing graphs: Scaffolding learners through text generation, University of Aizu Competitive Research Funding, AY2021.
	Project-based language learning for local community through Manga language, Grant-in-Aid of Japan Society for the Promotion of Science (Kakenhi), 2019-2021.
	Tense activator: Automatic identification and explanation of tense in context, University of Aizu Competitive Research Funding, AY2019.