Dr. Gota Shirato
About
I deliver visual analytics solutions that turn complex data into clear insights. Using custom tools in D3.js and interactive libraries, I simplify exploring multivariate time series and intricate data. By integrating deep learning models like Autoencoders and LSTMs, I boost data analysis for tasks such as anomaly detection and trend prediction, making data-driven decisions easier.
I also dive into sports analytics, creating solutions that translate player behavior and game dynamics into actionable strategies. It's all about turning data from daunting to doable, one visualization at a time.
Education
| Degree | Period | Institution | Country |
|---|---|---|---|
| Dr. rer. nat. (Computer Science) | 2020 - 2024 | University of Bonn | Germany 🇩🇪 |
| M.Sc. (Statistics) | 2017-2019 | Keio University | Japan 🇯🇵 |
| M.Sc. (Virtual Reality) | 2015-2017 | Ecole Centrale de Nantes | France 🇫🇷 |
Academic and Work Experience
| Position | Period | Organization | Country |
|---|---|---|---|
| Researcher | 2020 - 2024 | Fraunhofer IAIS | Germany 🇩🇪 |
| Scholarly Exchange | October - November, 2019 | Weber State University | USA 🇺🇸 |
| Data Scientist (Part-time) | March - June, 2019 | Data Stadium Inc. | Japan 🇯🇵 |
| Marketing Intern | March - June, 2019 | Tinder | Japan 🇯🇵 |
| Data Scientist Intern | November - December, 2018 | Nomura Securities Co., Ltd. | Japan 🇯🇵 |
| Data Scientist Intern | October - November, 2018 | Intel Corporation | Japan 🇯🇵 |
| Data Scientist Intern | September - August, 2018 | NAVITIME JAPAN Co., Ltd. | Japan 🇯🇵 |
| VR Developer Intern | May - August, 2017 | Johnson Controles Industries | France 🇫🇷 |
| Data developer Intern | July, 2016 | Institut Mutualiste de Montsouris | France 🇫🇷 |
Dissertation
Visual analytics methods for supporting semantic abstraction of multivariate time series data (https://bonndoc.ulb.uni-bonn.de/xmlui/handle/20.500.11811/12460, September, 2024)
Full papers
| Title | Authors | Journal | Date | Link |
|---|---|---|---|---|
| Identifying, exploring, and interpreting time series shapes in multivariate time intervals | G. Shirato, N. Andrienko, and G. Andrienko | Visual Informatics | Mar. 2023 | 10.1016/j.visinf.2023.01.001 |
| Exploring and visualizing temporal relations in multivariate time series | G. Shirato, N. Andrienko, and G. Andrienko | Visual Informatics | Sep. 2023 | 10.1016/j.visinf.2023.09.001 |
| Episodes and topics in multivariate temporal data | N. Andrienko, G. Andrienko, and G. Shirato | Comput. Graph. Forum | Sep. 2023 | 10.1111/cgf.14926 |
Short papers
| Title | Authors | Journal | Date | Link |
|---|---|---|---|---|
| What are the topics in football? Extracting time-series topics from game episodes | G. Shirato, N. Andrienko, and G. Andrienko | IEEE VIS 2021 | 2021 |
Book chapters
| Title | Authors | Book | Chapter | Date | Link |
|---|---|---|---|---|---|
| Extraction and Visually Driven Analysis of VGI for Understanding People’s Behavior in Relation to Multifaceted Context | D. Burghardt, A. Dunkel, E. Hauthal, G. Shirato, N. Andrienko, G. Andrienko, M. Hartmann, and R. Purves | Springer Nature Switzerland | Volunteered Geographic Information: Interpretation, Visualization and Social Context | 2024 | 10.1007/978-3-031-35374-1 |
Selected projects
- DFG founded project (2020-2024) Geovisual analysis of VGI to study human behavior considering multidimensional context
Summer School
- BigSportsData: Analysis of Big Sports Data 27-30 Jun 2022 Caen (France)
Teaching
- Principles of Data Mining and Learning Algorithms: Visual Analytics (April - Present, 2024) University of Bonn, Germany
Languages
- Japanese (Native)
- English (Professional)
- French (Professional, C1)
- German (Intermediate, B1+)
- Spanish (Beginner, B1)
- Italian (Beginner, A2)
- Portuguese (Beginner, A2)
- Chinese (Beginner, A1)
Contact
| gshirato@uni-bonn.de | |
| GitHub | https://github.com/gshirato |
| Google Scholar | https://scholar.google.com/citations?user=sg6nk9IAAAAJ |
| Observeble | https://observablehq.com/@gshirato |
| https://www.linkedin.com/in/gota-shirato-115756125/ |
To know about my project, go visit the next page.