[dbjapan] [CFP] IEEE BigComp 2023 -- Feb 2023 in Jeju, Korea

[Yusuke Yamamoto <yamamoto [at] inf.shizuoka.ac.jp>]

日本データベース学会のみなさま

静岡大学の山本祐輔と申します．

来年2023年2月13-16日の日程で，済州島（韓国）にて開催される
2023 International Conference on Big Data and Smart Computing
(IEEE BigComp 2023) について，9月30日の投稿〆切りが近づいて
まいりましたので，再度CFPをご案内いたします．

なお，COVID-19の感染状況によってはハイブリッドもしくは
オンライン開催となる可能性がございます．

論文投稿〆切は，9月30日です．
ふるって論文投稿をご検討下さい．

================================================================
[IEEE BigComp 2023]
2023 International Conference on Big Data and Smart Computing
(Jeju, Korea, February 13(Mon.)-16(Thu.), 2023)
================================================================
* Conference website: http://www.bigcomputing.org/
* Paper submission due: September 30, 2022
* Tutorial/Workshop proposal due: September 30, 2022
* Acceptance notification: November 30, 2022
* Conference dates: February 13-16, 2023


Big data and smart computing are emerging research fields that have
been drawing much attention from diverse disciplines, including
computer science, information technology, and social sciences. The
goal of the International Conference on Big Data and Smart Computing
(BigComp), initiated by KIISE (Korean Institute of Information
Scientists and Engineers), is to provide an international forum for
exchanging ideas and information on current studies, challenges,
research results, system developments, and practical experiences in
these emerging fields among researchers, developers, and users from
academia, business and industry. Following the successes of the
previous BigComp conferences in Bangkok, Thailand (2014), Jeju, Korea
(2015), Hong Kong, China (2016), Jeju, Korea (2017), Shanghai, China
(2018), Kyoto, Japan (2019), Busan, Korea (2020), Jeju, Korea (2021),
and Daegu, Korea (2022), the 2023 IEEE International Conference on Big
Data and Smart Computing (IEEE BigComp 2023) will be held in Jeju,
Korea. The conference is co-sponsored by IEEE and KIISE. IEEE BigComp
2023 invites authors to submit original research papers and as well
original work-in-progress reports on big data and smart computing.


------------------------------
TOPICS OF INTEREST
------------------------------
We invite the submission of original research contributions in the
following areas, but also welcome any original contributions that may
cross the boundaries among areas or point in other novel directions.
In addition, BigComp 2023 encourages submissions about products,
practices, and services in industry:

* Big data analytics and social media
* Big data applications / big data as a service
* Big data ecosystem
* Bioinformatics, multimedia, smartphones, etc.
* Cloud and grid computing for big data
* Crowdsourcing and human-in-the-loop
* Data mining and data science
* Data and information quality
* Disaster analysis
* Infrastructure and platform for big data and smart computing
* Knowledgegraph,graphdatamanagementandmining
* Machine learning and AI for big data
* Machine learning and AI theory and fundamentals
* Mobile communications and smart location-based services
* Recommender systems
* Search/retrieval and generation of big data
* Security and privacy for big data
* Smart computing models, tools, and devices
* Techniques, models and algorithms for big data
* Tools and systems for big data
* Understandingmulti-modaldata


------------------------------
PAPER SUBMISSION
------------------------------
Original papers formatted in PDF according to the IEEE two-column
format for conference proceedings must be submitted through EasyChair.
Regular papers are limited to 8 pages and short ones to 4 pages.
BigComp 2023 adopts double-blind review policy. For details, please
see the submission guideline at the conference homepage.


------------------------------
IMPORTANT DATES
------------------------------
* Paper submission: September 30, 2022
* Tutorial/Workshop proposal: September 30, 2022
* Acceptance notification: November 30, 2022
* Conference dates: February 13-16, 2023


----------------------------------
Organizing Committee
----------------------------------
General Co-Chairs:
* Hyeran Byun (Yonsei University, Korea)
* Beng Chin Ooi (National University of Singapore, Singapore)
* Katsumi Tanaka (Kyoto University / University of Fukuchiyama, Japan)

Organization Co-Chairs
* Wen-Huang Cheng (National Chiao Tung University, Taiwan)
* Jae-Gil Lee (KAIST, Korea)

Program Committee Co-Chairs
* Sang-Won Lee (Sungkyunkwan University, Korea)
* Zhixu Li (Fudan University, China)
* Akiyo Nadamoto (Konan University, Japan)
* Giltae Song (Pusan National University, Korea)

Workshop Co-Chairs
* Young-guk Ha (Konkuk University, Korea)
* Kazutoshi Sumiya (Kwansei Gakuin University, Japan)

Tutorial Chairs
* Makoto Kato (University of Tsukuba, Japan)
* Se-Young Yun (KAIST, Korea)

Panel Co-Chairs
* Yoshiyuki Shoji (Aoyama Gakuin University, Japan)
* Jinyoung Yeo (Yonsei University, Korea)

Finance Co-Chairs
* Hiroaki Ohshima (University of Hyogo, Japan)
* Noseong Park (Yonsei University, Korea)

Publicity Co-Chairs
* Hyunjung Shin (Ajou University, Korea)
* Yusuke Yamamoto (Shizuoka University, Japan)
* Bolong Zheng (HUST, China)

Local Arrangement Co-Chair
* Yungcheol Byun (Jeju National Unversity, Korea)

Publication Co-Chairs
* Hyuk-Yoon Kwon (Seoul Natl’ Univ. of Science and Technology, Korea)
* Takehiro Yamamoto (University of Hyogo, Japan)

Registration & Web Co-Chair
* Byoung Chul Ko (Keimyung University, Koera)

━━━━━━━━━━━━━━━━━━━━━━
Yusuke Yamamoto, Associate Professor
Dept. of Informatics,
Graduate School of Integrated Science and Technology,
Shizuoka University
Johoku 3-5-1, Naka-ku, Hamamatsu, 432-8011, Japan
TEL: +81-53-478-1522
Email: yamamoto [at] inf.shizuoka.ac.jp
━━━━━━━━━━━━━━━━━━━━━━

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