IWSF2019: The 1st International Workshop on Smart Finance Tokyo, Japan, February 24-27, 2019 |
Conference website | http://69.171.78.60 |
Submission link | https://easychair.org/conferences/?conf=iwsf2019 |
The 1st International Workshop on Smart Finance(IWSF)
February 27, 2019, Kyoto, JAPAN
In conjunction with the IEEE BigComp 2019
Background and Purpose
With the rapid development and widespread application of technologies such as big data, artificial intelligence, Internet of Things and cloud computing in the financial field, the financial industry has been comprehensively upgraded in terms of business processes, risk control, products and services, and gradually achieve the transition to smart.
However, the development level of smart finance is still in its infancy, and the key points are big data and business applications. The characteristic of financial data including multi-source, huge-volume, real-time and confidentiality is the primary challenge for smart finance. Moreover, it must be considered how to integrate emerging technologies into the practical application scenarios and promote the integrated application of smart products in the financial field. In addition, smart finance relies on emerging technologies, and the business model will change accordingly. Inevitably, new risks are brought to the financial industry, which puts new demands on the regulatory authorities. Regulators need to closely follow the development of smart financial technologies and study emerging financial risks and corresponding regulatory tools.
Scope and Theme
This workshop focuses on the technical communication in the field of smart finance. Through the sharing of experience and achievements by the experts and researchers in their research and practice, we hope to enhance the close collaboration between academic research and business applications, accelerate the deep integration and applications of technology in the financial industry, and finally, jointly promote the innovation and development of big data and intelligent computing in the financial field.
The theme of this workshop is to discuss the latest developments in the application of big data and intelligent computing technology in the financial industry, including but not limited to:
- Financial knowledge graph
- Financial anti-fraud research
- Intelligent investment consultant
- Intelligent investment consultant
- Smart Bank
- Finance in the consumer domain
- Financial industry supervision
- Financial risk management
- QA robot in customer service
PAPER SUBMISSION
The submitted paper should be in English and in PDF format. Regular papers are limited to 8 pages and short ones to 4 pages. The paper should not be previously published or currently under review elsewhere. The direct link for paper submission is the link need to be added.
The paper templates with formatting instructions can be found at:
- IEEE Conference Microsoft Word Template: Conference-template-letter.doc
- IEEE Conference Latex Template: Conference-LaTeX-template_5-8-18.zip
All submissions will be peer-reviewed and selected based on their originality, merit, and relevance to the workshop. All accepted papers will be published in the IEEE Xplore Digital Library as conference proceedings.
IMPORTANT DATES
Paper Submission Due
October 30, 2018
Notification of Acceptance
November 26, 2018
Camera-Ready Papers
December 14, 2018
Workshop
February 27, 2018
ORGANIZATIONAL COMMITTEE
Program Co-Chairs
- Xiangling Fu, Beijing University of Posts and Communications, China
- Jiayin Qi, Shanghai University of International Business and Economics, China
- Yong Jin Kim, Sogang University, Korean
Program Committee
- Jintae Lee, Colorado university of Colorado at Boulder, USA
- Kishen Iyengar, Northern Illinois University, USA
- Sam Seongmin Jeon, Gachon University, Korean
- Weiqiang Wu, China Huarong Asset Management Co. Ltd, China
- Yanjie Feng, Shanghai University of International Business and Economics, China
- Xi Zhang, Beijing University of Posts and Telecommunications, China
- Ye Wu, Beijing Normal University, China
- Lei Li, Beijing University of Posts and Telecommunications, China
- Shenlong Han, Peking University, China
- Jinpeng Chen, Beijing University of Posts and Telecommunications, China