The College of

Arts and Sciences

Department of Computer Science

Bio

Zuqiang Ke is a Ph.D. student in Computer Science. He is currently working as a Graduate Teaching Assistant in Computer Science department. He has completed his Master’s and Bachelor’s Degree in Computer Science. His Ph.D. research focuses on Blockchain that is a cryptographic distributed-ledger accessible to all and Blockchain analytics that is the process of analyzing, identifying and clustering data on the blockchain. Blockchain analytics also model and visually represent data in order to identify key information about users and transactions. Apart from Blockchain and Blockchain analytics, his research areas also include big data and artificial intelligence.

 

Achievements

1. Published more than 7 papers

Research Interests

1. Analytical modeling.
2. Blockchain consensus, interoperability, Decentralized Applications (DApps) and Internet of Things (IoT).
3. Big Data analytics.
4. Artificial intelligence through Deep Reinforcement Learning.

Awards

2022 Outstanding Research Award.