IIKI 2025 - Internet of Things Conference

Chairs

The digital economy is booming around the world, especially in emerging markets in recent years. The new digital paradigms include a vast array of enabling technologies, such as the Internet of Things, Big Data, Artificial Intelligence, Cloud Computing, and Augmented and Virtual Reality, and Smart Manufacturing. Novel business models are emerging day by day. In the era of the digital economy, the platform economy supported by algorithms, big data, and computing power is replacing the traditional development model where companies are the primary unit. The three elements of digital models (algorithm + big data + computing power) are gradually becoming the new production factors of the intelligent economy. There are surely a list of challenges for digital economics as a brand-new model which is completely different from traditional ones, such as the digital transitioning of enterprises, the flatization of organizational structure, the operation of digital business models, the full usage of the big data capital, and the smart algorithms to realize the intelligentization, among many others.
This track is intended to bring together scholarly contributions from a variety of disciplines that will shed light on technological and social change in the digital time.
Topics include, but are not limited to, the following:

• The changing industrial structure digital economy and its effect on social change
• Novel business models in digital economics
• Relationships or comparisons between major economic bodies (especially within the USA and China)
• The affection to the digital economy caused by the trading war between the USA and China
• Novel theories for digital economics
• Case studies of the new type of digital economics
• Disruptive technologies to affect the new economics

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Chairs

• Dr. Jianwu Lin, Tsinghua University & CSIAM FinTech and Algo Committee, China
• Dr. Luchuan Liu, UIC & CSIAM FinTech and Algo Committee, China
• Dr. Ling Zhang, Guangdong University of Finance & CSIAM FinTech and Algo Committee, China

FinTech is currently becoming one of the most promising areas. It is significantly changing business models in financial companies. Technology is fueling the transformation of finance and even business in unpredictable ways. However, a long list of challenges in this promising area exist. The track aims at bringing together research efforts focused on the development of methods, tools and techniques for the handling of various aspects of FinTech from academia and industries.

The solicited original papers include, but are not limited to, the topical areas listed below:

• Novel finance business models in view of AI & big data
• Financial sentiment and news analysis driven by AI & big data
• Security and privacy issues in finance
• Systems and application for finance business in view of big data
• Innovation of accounting and finance theory based on AI and big data
• Novel models of audit, internal control and risk management
• Intelligent prediction, decision and investment
• Quantitative trading and quantitative finance
• Block Chain applications in finance areas
• Large Language Model applications in finance areas

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Chairs

• Dr. Junhuan Zhang, Beihang University, China
• Dr. Ruidong Zhang, Zhejiang University International Business School, China

This track aims to promote research in the topics of trading strategies, risk management and regulations in blockchain technology, cryptocurrency and DeFi. We are accepting original theoretical or empirical research articles but not limited to the following topics:

• Trading strategies in cryptocurrency
• Cryptocurrency funds
• Market microstructure of DeFi
• Cryptocurrency derivatives
• Regulation of cryptocurrency markets
• Risk management of cryptocurrency markets
• Artificial intelligence generated content (AIGC) in cryptocurrency
• Economic influences of Digital Currency and Blockchain in Finance
• Formal threat models in cryptocurrency systems
• New business usages of the blockchain technology
• DeFi, NFT, and DAO

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Chairs

In recent years, quantitative trading methods represented by statistical arbitrage, paired trading, algorithmic execution, CTAs, and high-frequency trading have made great progress in financial markets. The frontiers of quantitative finance are still changing rapidly, driven by a variety of evolving quantitative methods and technologies. With the increasing abundance of hedging instruments and the increasing complexity of investments, how to handle the laws of the market through big data and AI technology has become a common concern for researchers. Robo-Advisory, for example, has become an innovative service that combines quantitative investment and wealth management businesses. Quantitative investment will lead the future of finance and promote a new pattern in the field of technology finance. This is the result of the comprehensive application of cutting-edge technology represented by AI in Fintech. Topics include, but are not limited to, the following:

• Application of artificial intelligence in technology finance
• Design and pricing of financial derivatives under the background of big data
• Systematic financial risk measurement and evaluation
• New Theory and its application in high-frequency trading
• Market dynamics and prediction
• Robo-Advisor and other innovative practices

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Chairs

• Dr. Yezhou Sha, Capital University of Economics and Business, China

The application of big data in finance and business has become prominent in both academic research and practical operations. A crucial task is to effectively analyze and utilize this information in the big data era. This forum aims to explore the innovative applications and challenges of big data in the fields of finance and business. We welcome submissions on the following topics:

• Applications of big data analytics in finance
• Business intelligence and data-driven decision making
• Machine learning and trading
• Big data applications in risk management
• Customer behavior analysis and prediction
• Sentiment analysis in financial markets
• Blockchain and data privacy protection
• Big data in credit assessment
• Data visualization and information presentation
• Fintech and innovative business models

This session will provide a platform for academia and industry to exchange ideas and discuss cutting-edge issues and trends in the application of big data in finance and business.

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