Naoko SAWADA

as of October 2020

naoko-sawada
 Affiliation Graduate School of Science and Technology
―Doctor course 3rd year
TeamVisual Analytics for Astronomy
Research themeVisual analytics for multi-dimensional time-dependent observation datasets of BLAZARs
E-mailnaoko.sawadafj.ics.keio.ac.jp
Websitehttps://mistletoenaoko.github.io/

Self-introduction

 I’m interested in visual analysis of time series data. For effective and detailed visual analysis of multi-dimensional time-dependent observed datasets of BLAZARS, I have been developing a browser-based visual analytics application, named TimeTubesX. Please refer to the project page of TimeTubesX for more details. As a part of TimeTubesX project, I do research on visual approaches for mining long-term datasets for characteristic blazar behaviors and recurring time variation patterns.

I was at the Visual Computing Group of Harvard University as a visiting scholar from August 2018 to March 2020. I did researches on the visual exploration of a large collection of time-series data through hierarchical clustering (SAX Navigator [C-1]) and visual querying techniques for multi-dimensional time-dependent datasets.

I’m a cat person. I can identify the gender of cats from their face.

Education

September 2018 – presentPh.D. in Information and Computer Science, Graduate School of Science and Technology, Keio University
April 2017 – September 2018M.E. in Information and Computer Science, Graduate School of Science and Technology, Keio University
April 2013 – March 2017 B.E. in Information and Computer Science, Keio University

Publications

Journals

  1. Naoko Sawada, Makoto Uemura, Johanna Beyer, Hanspeter Pfister, Issei Fujishiro: “
    TimeTubesX: A query-driven visual exploration of observable, photometric, and polarimetric behaviors of blazars,” IEEE Transactions on Visualization and Computer Graphics, September 18, 2020 (to appear) [doi: 10.1109/TVCG.2020.3025090].
  2. Issei Fujishiro, Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, Makoto Uemura: “TimeTubes: Visual exploration of observed blazar datasets,”Journal of Physics: Conference Series, Vol.1036, No.1, pp.012011:1―012011:13, June 27, 2018 [doi: 10.1088/1742-6596/1036/1/012011].
  3. Makoto Uemura, Ryosuke Itho, Ioannis Liodakis, Dmitry Blinov, Masanori Nakayama, Naoko Sawada, Hsiang-Yun Wu, Issei Fujishiro: “Optical polarization variations in the blazar PKS1749+096,” Publications of the Astronomical Society of Japan, Vol. 69, No. 6, pp. 96:1―96:12, December 1, 2017 [doi: 10.1093/pasj/psx111].

Conferences

  1. Makoto Uemura, Issei Fujishiro, Naoko Sawada, et al.: “Finding features in erratic polarization variations of blazars,” in Proceedings of International Astronomical Union Symposium 360 Astronomical Polarimetry 2020, Hiroshima, March 2021.Conference page
  2. Nicholas Ruta, Naoko Sawada, Katy McKeough, Michael Behrisch, Johanna Beyer: “SAX Navigator: Time Series Exploration Through Hierarchical Clustering,” in Proceedings of 2019 IEEE Visualization Conference, short paper track, pp. 236―240, Vancouver, BC, Canada, October 20―25, 2019 [doi: 10.1109/VISUAL.2019.8933618]. Fast forward video
  3. Naoko Sawada, Masanori Nakayama, Makoto Uemura, Issei Fujishiro: “TimeTubes: Automatic extraction of observable blazar features from long-term, multi-dimensional datasets,” in Proceedings of IEEE VIS 2018, SciVis short paper track, pp. 67―71, Berlin, Germany, October 21–26, 2018 [doi: 10.1109/SciVis.2018.8823802].
  4. Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura, Issei Fujishiro: “TimeTubes: Visual fusion for detailed and precise analysis of time-varying multi-dimensional datasets,” in Proceedings of the International Meeting on “High-Dimensional Data-Driven Science” (HD3–2017), Poster, Kyoto, Japan, September 10―13, 2017. Conference page
  5. Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura, Issei Fujishiro: “TimeTubes: Visual fusion and validation for ameliorating uncertainties of blazar datasets from different observatories,” in Proceedings of the Computer Graphics International Conference, Short paper, Article No. 14, pp. 1―6, Keio University Hiyoshi Campus, Kanagawa, Japan, June 27―30, 2017 [doi: 10.1145/3095140.3095154].
  6. Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura, Issei Fujishiro: “TimeTubes: Visual fusion for ameliorating uncertainty of blazar datasets from different observatories,” in Proceedings of IEEE PacificVis 2017, Poster, pp.336―337, Seoul, Korea, April 18―21, 2017.

Presentations

  1. Naoko Sawada, Makoto Uemura, Johanna Beyer, Hanspeter Pfister, Issei Fujishiro: “TimeTubesX: A query-driven visual exploration of observable, photometric, and polarimetric behaviors of blazars,” invited talk, in Proceedings of the Visual Computing 2020, pp: 14:1―14:2, Online, December 2―4, 2020 (in Japanese).
  2. Naoko Sawada, Makoto Uemura, Issei Fujishiro: “TimeTubesX: Identifying Characteristic Blazar Behaviors Through Query-Driven Visual Exploration,” in Proceedings of the 48th Symposium on Visualization in Japan, Article No. 088, Online, September 24―26, 2020.
  3. Naoko Sawada, Masanori Nakayama, Makoto Uemura, Issei Fujishiro: “TimeTubes: Feature extraction of observed blazar datasets for detailed and efficient data analysis,” in Proceedings of the 284th Reports of the Technical Conference of The Institute of Image Electronics Engineers of Japan, pp. 19―23, Hiroshima, Japan, March 1―2, 2018 (in Japanese).
  4. Issei Fujishiro, Shigeo Takahashi, Kazuho Watanabe, Hsiang-Yun Wu, Naoko Sawada, Makoto Uemura: “On the perspicuity of multidimensional data visualization,” in Proceedings of the 1st Public Symposium in the 2017 business year of KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas “Initiative for High-Dimensional Data-driven Science through Deepening of Sparse Modeling”, Poster, Tokyo, Japan, June 5―7, 2017 (in Japanese).
  5. Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura, Issei Fujishiro: “TimeTubes: Visual fusion for ameliorating uncertainty of blazar datasets from different observatories,” in Proceedings of the 79th IPSJ National Convention, Article No. 3X–08, pp. 85―86, Nagoya, Japan, March 2017 (in Japanese). Student Encouragement Award Digital Library

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