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IEEE CIFEr 2019: 2019 IEEE Conference on Computational Intelligence for Financial Engineering and Economics
Shenzhen, China, May 4-5, 2019
Conference website http://www.ieee-cifer.org
Submission link https://easychair.org/conferences/?conf=ieeecifer2019
Submission deadline December 8, 2018
Notification of acceptance January 15, 2019
IEEE CIFEr, Computational Intelligence for Financial Engineering and Economics is the major collaboration between the professional engineering and financial communities, and is one of the leading forums for new technologies and applications in the intersection of computational intelligence and financial engineering and economics with a history starting from 1990s.
We deeply believe that besides inviting our prestigious academic scholars, the CIFEr'19 focusing on the theme of powering financial industries with AI will be unique and special in its connecting international computational intelligence communities with many booming Fintech companies with AI innovative applications and more than 8,000 hedge funds with AUM Ten Trillions of Chinese Yuan in Shenzhen and other cities in China.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
Papers should present academic or practical value, and have not been published in any academic journals or conferences previously.
Posters on Fintech innovative applications and Financial Engineering & Economics Applications are warmly welcome.
Instructions for Authors: http://www.ieee-cifer.org/website_cifer/authorinf.html#IEEEXplore
Committees
General Co-Chairs
Hisao Ishibuchi (Southern University of Science and Technology)
Dongbin Zhao (Institute of Automation,Chinese Academy of Sciences)
Organizing committee
Program Co-Chairs
Chenghui Cai (Shenzhen WeAI Tech LLC)
Wen Dou (Maoyuan Capital LLC, CTIA)
Aaron Gong (CME Group)
ZongweiLuo (Southern University of Science and Technology)
Industry Liaisons
Robert Golan (DB Mind)
Conference Committee:
David Quintana (Universidad Carlos III de Madrid)
Edward Tsang (University of Essex)
Michael C S Wong (City University of Hong Kong)
Philip Yu (University of Hong Kong)
William M.Y. Cheung (Waseda University)
Okan Duru (Nanyang Technological University)
Aparna Gupta(Rensselaer Polytechnic Institute)
Vincent Tam (University of Hong Kong)
Jeff(Jun) Nie (Keywise Capital Management, ARIMAC)
Scopes (included but not limited to)
AI and Big Data Technologies
S1 Deep Learning and Reinforcement Learning
S2 Financial Machine Learning and Data Mining
S3 Natural Language Processing and Text Ming
S4 Probabilistic Modeling/Inference
S5 Fuzzy Sets, Rough Sets, & Granular Computing
S6 Evolutionary Computation
S7 Intelligent Trading Agents
S8 Time Series Analysis
S9 Non-linear Dynamics
S10 Financial Data Mining
S11 Sentiment Analysis and Emotion Mining
S12 Alternative Data Integration and Mining
S13 Predictive Modeling and Forecasting
Financial Engineering & Economics Applications
S14 Algorithmic and Quantitative Trading
S15 Portfolio Optimization and Asset Allocation
S16 Risk Management
S17 Pricing of Structured Securities
S18 Hedging Strategies
S19 Risk Arbitrage
S20 Behavioral Finance
S21 Innovative Derivative and Fix Income Products
S22 Agent-based Computational Economics
S23 Artificial and Emerging Markets
S24 Operations Research and Management Sciences
S25 Front/Back Office Operations
S26 Fintech Innovation and Block Chain Applications
Contact
[email protected]
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