Christian Gang Liu
| Christian Gang Liu | |
|---|---|
| File:Christian Gang Liu avatar.pngChristian Gang Liu avatar.png | |
| Born | |
| 🎓 Alma mater | Dalhousie University (PhD, MCS) Concordia University (MACS) |
| 💼 Occupation | |
| Title | Postdoctoral Fellow in Computer Science at Dalhousie University Adjunct Postdoctoral Scholar (academic appointment), Dalhousie University |
| Christian Gang Liu | |||||||
| Traditional Chinese | 劉玄睿 | ||||||
|---|---|---|---|---|---|---|---|
| Simplified Chinese | 刘玄睿 | ||||||
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Christian Gang Liu (Chinese: 刘玄睿; formerly 刘钢) is a postdoctoral researcher in the Faculty of Computer Science at Dalhousie University (戴尔豪斯大学) and an Adjunct Postdoctoral Scholar at the same institution. His research focuses on software engineering for distributed systems, particularly the integration of artificial intelligence, business process modeling, and blockchain technologies. Dr. Liu received his Ph.D. in Computer Science from Dalhousie University and holds master's degrees from both Dalhousie and Concordia University. His research develops model-driven frameworks for generating secure and scalable blockchain applications. In particular, his DE-HSM multi-modal framework enables automated transformation of BPMN models into executable smart contracts, supporting long-term transactions, modular upgrades, and collaborative distributed processes. Prior to academia, Dr. Liu accumulated more than 20 years of industry experience with companies including Ericsson, CGI, IBM, and Samsung, leading projects in enterprise software systems, telecommunications infrastructure, and AI-enabled blockchain integration. At Dalhousie University and Saint Mary’s University, he has taught courses in databases, cloud computing, business intelligence, and data analytics, emphasizing practical, AI-driven approaches to modern data systems. His research has been published in venues including IEEE, ACM, Springer, and Elsevier.
Education
Liu received:
- Ph.D. in Computer Science, Dalhousie University
- Master of Computer Science, Dalhousie University
- Master of Applied Computer Science, Concordia University
- Master of Engineering (Electrical Engineering), Huazhong University of Science and Technology (professional master’s degree)
His doctoral research investigated automated transformation of business-process models into blockchain smart contracts using hierarchical state-machine–based multi-modal modeling methods.
Academic career
Liu is a postdoctoral fellow at Dalhousie University, where his research focuses on:
- BPMN-to-smart-contract transformation
- long-running blockchain transaction modeling
- off-chain computation architectures
- multi-modal modeling frameworks integrating BPMN, FSM, and DE-HSM
- automation tools including TABS and TABS+
- AI-assisted software engineering for distributed systems
He has taught courses at Dalhousie University and Saint Mary's University, including:
- Advanced Database Systems
- Business Intelligence
- Data Warehousing
- Software Engineering Prototyping
- Blockchain Technologies
Industry experience
Before returning to academia, Liu worked in the software industry for more than two decades.
His professional roles included:
- Advisory IT Specialist, IBM Canada
- Senior Java Developer, CGI Canada
- Software Developer, Ericsson Canada
- Senior Project Manager, Samsung (AI and blockchain initiatives)
At IBM Canada, he contributed to enterprise-scale systems in the aviation and financial sectors.
Research contributions
Liu’s research focuses on automated generation of blockchain smart contracts from business-process models using formal software-engineering methods.
His contributions include:
- development of the TABS framework for transforming BPMN models into smart contracts
- extension of TABS+ supporting nested collaborative transactions
- modeling techniques for long-term blockchain transactions
- separation of on-chain and off-chain computation architectures
- Smart-Contract-as-a-Service (SCaaS) modeling approaches
His work has appeared in journals and conferences including:
- Blockchain: Research and Applications
- ACM Distributed Ledger Technologies: Research and Practice
- IEEE conferences on blockchain computing and communications
- Springer blockchain systems proceedings
- Future Internet
Selected publications
Selected publications include:
- Transforming Automatically BPMN Models into Blockchain Smart Contracts (TABS)
- Transforming Automatically BPMN Models to Smart Contracts with Nested Collaborative Transactions (TABS+)
- Supporting Long-term Transactions in Smart Contracts
- Automating Smart Contract Generation on Blockchains Using Multi-modal Modeling
- Payment Rails in Smart-Contract-as-a-Service (SCaaS) from BPMN Models
