Since 1900, humankind has experienced two world wars, economic depressions, environmental disasters, and recently the COVID-19 pandemic. Repeated crises are lurking around humanity. Governments are practicing an optimization problem of social resource allocation with variances, such as human interactions and information dissemination. To manage public emergencies, my future will be designing a model that can simulate the world dynamically, provide prediction and management policy is urgently desired to minimize the damage.

I am working on the project "Rethink Digital Contact Tracing System " with Dr. Manuel Cebrian. In this project, we consider using technology, such as blockchain, to secure the users' privacy. At the same time, individual cost, system effectiveness, and societal cost are taken into account.

With the wide deployment of low-cost Internet of Things (IoT) in an increasing number of applications such as smart cities, new challenges have emerged concerning the market of digital services to compensate for the lack of processing, computation, and other resources of IoT. At the same time, the complexity of interplay among stakeholders has grown in size, granularity, and variation of trust. In this project, we consider an IoT market with heterogeneous buyers. The buyers interact with the resource supplier dynamically with specific resource demands. This work introduces a broker between the supplier and the buyers, equipped with Distributed Ledger Technologies (DLT) providing a service for market security and trustworthiness.

I was on the EU H2020 project "Secure and Safe Internet of Things" with Prof. Martin Reed and his team. My research was “Blockchain assisted software-defined network", which focused on using blockchain for flow verification/validation in a software-defined IoT network. I studied the incentive mechanisms for the servers to participate in blockchain operations. Computational resource and energy consumption of private, public, and hybrid blockchain are the critical criteria in the works. I have published two journal papers and one conference paper regarding this topic.

During my PhD years, I dedicated my research to sensory data collection, incentive mechanisms, and sensory task execution in mobile crowdsensing. This project is under "Research and Application on Storage Resource Virtualization of Distributed Systems", National Sci-Tech Support Plan of China under Grant No. 2014BAH02F03-1, 2014/01-2016/12.