Naoko Sawada

Phone: 617-621-7532
Email:

Position:
Research / Technical Staff

Visiting Research Scientist
Education:
Ph.D., Keio University, 2021
Research Area:
- Computer Vision
External Links:
- Google Scholar

Naoko's Quick Links

Biography
Other Publications

Biography

Naoko Sawada joined Mitsubishi Electric in 2021 and worked on the research and development of computer vision, AR, and visualization. She received the BE, ME, and Ph.D. degrees in information and computer science from Keio University, Japan, in 2017, 2018, and 2021 respectively. She stayed at Harvard University, Cambridge, Massachusetts as a visiting scholar in the Visual Computing Group from 2018 to 2020. Her main research interests are time-varying data visualization and analytics, computer vision, and AR.
Other Publications
- Issei Fujishiro, Naoko Sawada and Makoto Uemura, "Clustering, Universalities, and Evolutionary Schema Design", Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, CEUR Workshop Proceedings, Vol. 3379, 6th International Workshop on Big Data Visual Exploration and Analytics (BigVis 2023), March 28 2023.
  BibTeX External
  - @Inproceedings{fujishiro2023clustering,
  - author = {Fujishiro, Issei and Sawada, Naoko and Uemura, Makoto},
  - title = {Clustering, Universalities, and Evolutionary Schema Design},
  - booktitle = {Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, CEUR Workshop Proceedings, Vol. 3379, 6th International Workshop on Big Data Visual Exploration and Analytics (BigVis 2023)},
  - year = 2023,
  - address = {Ioannina, Greece (Hybrid)},
  - month = {March 28},
  - url = {https://ceur-ws.org/Vol-3379/BigVis2023_702.pdf}
  - }
- Naoko Sawada, Makoto Uemura and Issei Fujishiro, "Multi-dimensional Time-series Subsequence Clustering for Visual Feature Analysis of Blazar Observation Datasets", Astronomy and Computing, Vol. 41, pp. Article No. 100663, November 2022.
  BibTeX External
  - @Article{sawada2022multi,
  - author = {Sawada, Naoko and Uemura, Makoto and Fujishiro, Issei},
  - title = {Multi-dimensional Time-series Subsequence Clustering for Visual Feature Analysis of Blazar Observation Datasets},
  - journal = {Astronomy and Computing},
  - year = 2022,
  - volume = 41,
  - pages = {Article No. 100663},
  - month = nov,
  - url = {https://www.sciencedirect.com/science/article/abs/pii/S2213133722000774}
  - }
- Naoko Sawada, Makoto Uemura, Johanna Beyer, Hanspeter Pfister and Issei Fujishiro, "TimeTubesX: A Query-Driven Visual Exploration of Observable, Photometric, and Polarimetric Behaviors of Blazars", IEEE Transactions on Visualization and Computer Graphics, Vol. 28, No. 4, pp. 1917-1929, April 2022.
  BibTeX External
  - @Article{sawada2022timetubesx,
  - author = {Sawada, Naoko and Uemura, Makoto and Beyer, Johanna and Pfister, Hanspeter and Fujishiro, Issei},
  - title = {TimeTubesX: A Query-Driven Visual Exploration of Observable, Photometric, and Polarimetric Behaviors of Blazars},
  - journal = {IEEE Transactions on Visualization and Computer Graphics},
  - year = 2022,
  - volume = 28,
  - number = 4,
  - pages = {1917--1929},
  - month = apr,
  - url = {https://ieeexplore.ieee.org/abstract/document/9200781}
  - }
- Shoki Miyagawa, Atsuyoshi Yano, Naoko Sawada and Isamu Ogawa, "High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing", Proceedings of PDPAT2022/MPS139, 2022.
  BibTeX External
  - @Inproceedings{miyagawa2022high,
  - author = {Miyagawa, Shoki and Yano, Atsuyoshi and Sawada, Naoko and Ogawa, Isamu},
  - title = {High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing},
  - booktitle = {Proceedings of PDPAT2022/MPS139},
  - year = 2022,
  - url = {https://arxiv.org/abs/2206.05988}
  - }
- Naoko Sawada, "Visual Analytics of Features in Multi-Dimensional Time-Dependent Observation Datasets of Blazars", 2021, Keio University.
  BibTeX External
  - @Phdthesis{sawada2021visual,
  - author = {Sawada, Naoko},
  - title = {Visual Analytics of Features in Multi-Dimensional Time-Dependent Observation Datasets of Blazars},
  - school = {Keio University},
  - year = 2021,
  - url = {modules/xoonips/detail.php?koara_id=KO50002002-20215642-0003}
  - }
- Naoko Sawada, Makoto Uemura and Issei Fujishiro, "TimeTubesX: Identifying Characteristic Blazar Behaviors Through Query-Driven Visual Exploration", Proceedings of the 48th Symposium on Visualization in Japan, September 24--26 2020, pp. Article No. 088.
  BibTeX
  - @Inproceedings{sawada2020identifying,
  - author = {Sawada, Naoko and Uemura, Makoto and Fujishiro, Issei},
  - title = {TimeTubesX: Identifying Characteristic Blazar Behaviors Through Query-Driven Visual Exploration},
  - booktitle = {Proceedings of the 48th Symposium on Visualization in Japan},
  - year = 2020,
  - pages = {Article No. 088},
  - month = {September 24--26}
  - }
- Naoko Sawada, Makoto Uemura, Johanna Beyer, Hanspeter Pfister and Issei Fujishiro, "TimeTubesX: A query-driven visual exploration of observable, photometric, and polarimetric behaviors of blazars", Proceedings of the Visual Computing 2020, December 2--4 2020, pp. 14:1-14:2.
  BibTeX
  - @Inproceedings{sawada2020timetubesx,
  - author = {Sawada, Naoko and Uemura, Makoto and Beyer, Johanna and Pfister, Hanspeter and Fujishiro, Issei},
  - title = {TimeTubesX: A query-driven visual exploration of observable, photometric, and polarimetric behaviors of blazars},
  - booktitle = {Proceedings of the Visual Computing 2020},
  - year = 2020,
  - pages = {14:1--14:2},
  - month = {December 2--4},
  - note = {Invited talk (in Japanese)}
  - }
- Nicholas Ruta, Naoko Sawada, Katy McKeough, Michael Behrisch and Johanna Beyer, "SAX Navigator: Time Series Exploration Through Hierarchical Clustering", Proceedings of 2019 IEEE Visualization Conference (VIS), 2019.
  BibTeX External
  - @Inproceedings{ruta2019sax,
  - author = {Ruta, Nicholas and Sawada, Naoko and McKeough, Katy and Behrisch, Michael and Beyer, Johanna},
  - title = {SAX Navigator: Time Series Exploration Through Hierarchical Clustering},
  - booktitle = {Proceedings of 2019 IEEE Visualization Conference (VIS)},
  - year = 2019,
  - address = {Vancouver, BC, Canada},
  - url = {https://ieeexplore.ieee.org/document/8933618}
  - }
- Issei Fujishiro, Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi and Makoto Uemura, "TimeTubes: Visual Exploration of Observed Blazar Datasets", Journal of Physics: Conference Series (JPCS), Vol. 1036, No. 1, pp. Article No. 012011, 2018.
  BibTeX External
  - @Article{fujishiro2018timetubes,
  - author = {Fujishiro, Issei and Sawada, Naoko and Nakayama, Masanori and Wu, Hsiang-Yun and Watanabe, Kazuho and Takahashi, Shigeo and Uemura, Makoto},
  - title = {TimeTubes: Visual Exploration of Observed Blazar Datasets},
  - journal = {Journal of Physics: Conference Series (JPCS)},
  - year = 2018,
  - volume = 1036,
  - number = 1,
  - pages = {Article No. 012011},
  - url = {http://iopscience.iop.org/article/10.1088/1742-6596/1036/1/012011}
  - }
- Naoko Sawada, Masanori Nakayama, Makoto Uemura and Issei Fujishiro, "TimeTubes: Feature Extraction of Observed Blazar Datasets for Detailed and Efficient Data Analysis", 284th Reports of the Technical Conference of The Institute of Image Electronics Engineers of Japan, 2018, pp. 19-23.
  BibTeX
  - @Inproceedings{sawada2018feature,
  - author = {Sawada, Naoko and Nakayama, Masanori and Uemura, Makoto and Fujishiro, Issei},
  - title = {TimeTubes: Feature Extraction of Observed Blazar Datasets for Detailed and Efficient Data Analysis},
  - booktitle = {284th Reports of the Technical Conference of The Institute of Image Electronics Engineers of Japan},
  - year = 2018,
  - pages = {19--23}
  - }
- Naoko Sawada, Masanori Nakayama, Makoto Uemura and Issei Fujishiro, "TimeTubes: Automatic Extraction of Observable Blazar Features from Long-Term, Multi-Dimensional Datasets", Proceedings of 2018 IEEE Scientific Visualization Conference (SciVis), 2018.
  BibTeX External
  - @Inproceedings{sawada2018timetubes,
  - author = {Sawada, Naoko and Nakayama, Masanori and Uemura, Makoto and Fujishiro, Issei},
  - title = {TimeTubes: Automatic Extraction of Observable Blazar Features from Long-Term, Multi-Dimensional Datasets},
  - booktitle = {Proceedings of 2018 IEEE Scientific Visualization Conference (SciVis)},
  - year = 2018,
  - address = {Berlin, Germany},
  - url = {https://ieeexplore.ieee.org/document/8823802}
  - }
- Issei Fujishiro, Shigeo Takahashi, Kazuho Watanabe, Hsiang-Yun Wu, Naoko Sawada and Makoto Uemura, "Consolidation of Visualization Platform Toward Facilitating Sparse Modeling", 5th Public Symposium of KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas Initiative for High-Dimensional Data-driven Science through Deepening of Sparse Modeling"", December 2017.
  BibTeX
  - @Inproceedings{fujishiro2017consolidation,
  - author = {Fujishiro, Issei and Takahashi, Shigeo and Watanabe, Kazuho and Wu, Hsiang-Yun and Sawada, Naoko and Uemura, Makoto},
  - title = {Consolidation of Visualization Platform Toward Facilitating Sparse Modeling},
  - booktitle = {5th Public Symposium of KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas Initiative for High-Dimensional Data-driven Science through Deepening of Sparse Modeling""},
  - year = 2017,
  - month = dec
  - }
- Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura and Issei Fujishiro, "TimeTubes: Visual Fusion for Detailed and Precise Analysis of Time-Varying Multi-Dimensional Datasets", International Meeting on High-Dimensional Data-Driven Science" (HD3-2017)", September 2017.
  BibTeX
  - @Inproceedings{sawada2017visual2,
  - author = {Sawada, Naoko and Nakayama, Masanori and Wu, Hsiang-Yun and Uemura, Makoto and Fujishiro, Issei},
  - title = {TimeTubes: Visual Fusion for Detailed and Precise Analysis of Time-Varying Multi-Dimensional Datasets},
  - booktitle = {International Meeting on High-Dimensional Data-Driven Science" (HD3-2017)"},
  - year = 2017,
  - month = sep
  - }
- Issei Fujishiro, Shigeo Takahashi, Kazuho Watanabe, Hsiang-Yun Wu, Naoko Sawada and Makoto Uemura, "On the Perspicuity of Multidimensional Data Visualization", 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"", June 2017.
  BibTeX
  - @Inproceedings{fujishiro2017perspicuity,
  - author = {Fujishiro, Issei and Takahashi, Shigeo and Watanabe, Kazuho and Wu, Hsiang-Yun and Sawada, Naoko and Uemura, Makoto},
  - title = {On the Perspicuity of Multidimensional Data Visualization},
  - booktitle = {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""},
  - year = 2017,
  - month = jun
  - }
- Naoko Sawada, Masanori Nakayama, Makoto Uemura, Hsiang-Yun Wu and Issei Fujishiro, "TimeTubes: Visual Fusion for Ameliorating Uncertainty of Blazar Datasets from Different Observatories", Proceedings of the 79th IPSJ National Convention, 2017, vol. 79, pp. 85-86.
  BibTeX
  - @Inproceedings{sawada2017national,
  - author = {Sawada, Naoko and Nakayama, Masanori and Uemura, Makoto and Wu, Hsiang-Yun and Fujishiro, Issei},
  - title = {TimeTubes: Visual Fusion for Ameliorating Uncertainty of Blazar Datasets from Different Observatories},
  - booktitle = {Proceedings of the 79th IPSJ National Convention},
  - year = 2017,
  - volume = 79,
  - number = 4,
  - pages = {85--86}
  - }
- Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura and Issei Fujishiro, "TimeTubes: Visual Fusion for Ameliorating Uncertainty of Blazar Datasets from Different Observatories", Proceedings of 10th IEEE Pacific Visualization Symposium (PacificVis 2017), 2017, pp. 336-337.
  BibTeX
  - @Inproceedings{sawada2017timetubes,
  - author = {Sawada, Naoko and Nakayama, Masanori and Wu, Hsiang-Yun and Uemura, Makoto and Fujishiro, Issei},
  - title = {TimeTubes: Visual Fusion for Ameliorating Uncertainty of Blazar Datasets from Different Observatories},
  - booktitle = {Proceedings of 10th IEEE Pacific Visualization Symposium (PacificVis 2017)},
  - year = 2017,
  - pages = {336--337},
  - address = {Seoul, Korea}
  - }
- Naoko Sawada, Masanori Nakayama, Hsiang-Yun Wu, Makoto Uemura and Issei Fujishiro, "TimeTubes: Visual Fusion and Validation for Ameliorating Uncertainty of Blazar Datasets from Different Observatories", Proceedings of the Computer Graphics International Conference (CGI 2017), 2017.
  BibTeX External
  - @Inproceedings{sawada2017visual,
  - author = {Sawada, Naoko and Nakayama, Masanori and Wu, Hsiang-Yun and Uemura, Makoto and Fujishiro, Issei},
  - title = {TimeTubes: Visual Fusion and Validation for Ameliorating Uncertainty of Blazar Datasets from Different Observatories},
  - booktitle = {Proceedings of the Computer Graphics International Conference (CGI 2017)},
  - year = 2017,
  - address = {Yokohama, Japan},
  - url = {http://dl.acm.org/citation.cfm?id=3095154}
  - }
- Makoto Uemura, Ryosuke Itoh, Ioannis Liodakis, Dmitry Blinov, Masanori Nakayama, Longyin Xu, Naoko Sawada, Hsiang-Yun Wu and Issei Fujishiro, "Optical polarization variations in the blazar PKS 1749+096", Publications of the Astronomical Society of Japan (PASJ), Vol. 69, No. 6, pp. Article No. 96, 2017.
  BibTeX External
  - @Article{uemura2017optical,
  - author = {Uemura, Makoto and Itoh, Ryosuke and Liodakis, Ioannis and Blinov, Dmitry and Nakayama, Masanori and Xu, Longyin and Sawada, Naoko and Wu, Hsiang-Yun and Fujishiro, Issei},
  - title = {Optical polarization variations in the blazar PKS 1749+096},
  - journal = {Publications of the Astronomical Society of Japan (PASJ)},
  - year = 2017,
  - volume = 69,
  - number = 6,
  - pages = {Article No. 96},
  - url = {https://academic.oup.com/pasj/article/69/6/96/4609697}
  - }