Dr. Christian G. Liu, Ph.D. Halifax, Canada
+1-902-719-7884 • chris.liu@dal.ca • linkedin.com/in/drchrisliu
Ph.D. in Computer Science | Postdoctoral
Researcher | Senior Software Engineer
Professional Summary
Dr. Christian Liu, based in Halifax, Canada, is a postdoctoral researcher and senior software engineer specializing in blockchain technology research. He received his Ph.D. in Computer Science from Dalhousie University and holds Master’s degrees in Computer Science from both Concordia University and Dalhousie University. With over twenty years of experience in the IT industry, Dr. Liu has led significant projects and teams at global tech companies like Ericsson, CGI, IBM, and Samsung. Currently, he continues his research at Dalhousie University as a full-time postdoctoral fellow and imparts his extensive knowledge as an educator.
Career Highlights
Ericsson, Montreal, QC (7/2007 – 11/2011)
- Role: Software Developer
- Responsibilities: Maintained and developed core network applications. Focused on Java programming and Python testing framework construction.
CGI Inc., Halifax, NS (1/2012 – 2/2015)
- Role: Senior Java Developer
- Responsibilities: Provided cross-functional leadership to implement client requirements precisely. Established test cases and tracked issues. Documented technical designs and peer-reviewed developer work. Trained and mentored new employees.
IBM Canada Ltd.,
Halifax, NS (4/2015 – 5/2018)
- Role: Senior IT Specialist
- Responsibilities: Provided full-stack development, coding documentation, and test analysis for company IT projects. Collaborated with business and test analysts to implement client requirements, establish test cases, and track system issues. Documented technical designs and peer-reviewed developer work.
Samsung (Nanjing) Research Centre (5/2018 – 8/2018)
- Role: Senior Lab Manager
- Responsibilities: Led four research teams to provide AI solutions for the Samsung mobile platform. Supervised and scheduled research tasks, proposed new features or improvements for Samsung devices, estimated project time and budget, and monitored project progress.
Dalhousie University (9/2018 – Present)
- Role: Instructor / Teaching Assistant
- Responsibilities: Developed course curriculum for both undergraduate and graduate courses, delivered the courses theoretically and hands-on, hired and managed teaching assistants, provided feedback based on students’ feedback, and monitored markers’ work to ensure fair grading and compliance with university policies.
Academic Experience
Dalhousie University, Halifax, NS
· Postdoctoral Researcher / Teaching Fellow (4/2024 – Present)
- Research Focus: Adapting the TABS tool for SMEs to generate smart contracts for sustainability and safety data of their products. Involved identifying regulations, developing reporting models, enhancing the TABS tool, and evaluating its effectiveness.
· Doctoral Researcher / Teaching Fellow (5/2018 – 4/2024)
- Research Focus: Conducting research on blockchain technology applications in software modeling. Developing methodologies for automating smart contract generation using multi-modal modeling. Exploring blockchain integration with traditional software development processes.
- Achievements: Authored research papers featured in peer-reviewed journals and conferences. Successfully implemented blockchain-based projects. Recognized for teaching excellence and received positive feedback from students.
Teaching Experience
Instructor Roles:
Dalhousie University, Halifax, NS
1. CSCI 2133 - Rapid Prototyping (2019)
- Responsibilities: Taught principles of design thinking and provided hands-on programming experience. Guided students through software application prototyping.
2. CSCI 4140 - Advanced Database (2017, 2018, 2021 Summer & Fall Terms)
- Responsibilities: Covered advanced database topics, including distributed databases, Big Data, NoSQL, and database performance optimization. Facilitated practical projects and research assignments.
3. MCDA 5560 - Business Intelligence (2018 Summer & Fall)
- Responsibilities: Taught business data analytics and visualization techniques. Emphasized the application of business intelligence tools in real-world scenarios.
4. CSCI 5408 - Data Warehousing (2018 Winter)
- Responsibilities: Taught data warehousing techniques and focused on data manipulation towards business goals.
Teaching Assistant Roles:
Dalhousie University, Halifax, NS
1. CSCI 6313 - Blockchain (2022 Summer Term, 2023 Summer & Fall Terms)
- Responsibilities: Assisted in teaching blockchain concepts, technologies, and applications. Supported lab sessions and graded assignments.
2. CSCI 4140 - Advanced Database (2019 Fall, 2020 Winter, Summer & Fall, 2022 Winter, Summer & Fall, 2023 Summer & Fall)
- Responsibilities: Supported course delivery, managed lab sessions, and assisted students with advanced database topics.
3. CSCI 5409 - Cloud Computing (2020 Summer)
- Responsibilities: Assisted in teaching cloud computing principles and technologies. Helped students with practical exercises and projects related to cloud infrastructure and services.
Education and Training
Dalhousie University, Halifax, NS (2021-2024)
- Doctor of Philosophy in Computer Science – Thesis Based
- Focus: Blockchain (public and private) network research.
Dalhousie University, Halifax, NS (2019-2020)
- Master of Science in Computer Science – Thesis Based
- Focus: Blockchain (public and private) network research.
Concordia University, Montreal, QC (2005-2007)
- Master of Applied Science in Computer Science – Course Based
Certifications
- SCJP Sun Certified Programmer
- SCWCD Sun Certified Web Component Developer
- IBM IT Specialist Experienced Certification
- UPEI Faculty Development Summer Institute
Patents
- System and Methods for Automated Generation of Smart Contracts from BPMN Models Using DE-HSM Multi-modal Models Executed by Smart Contracts with Sidechain Processing
- Bodorik, P.; Liu, C.; and Jutla, D. USPTO Utility Patent Application Number: 17968047; Submitted: 2022-10-18.
Publications
For a detailed list of publications, please refer to the end of my resume.
Conclusion
My academic journey at Dalhousie University involved extensive exploration of blockchain technology and its applications, from theory to practical deployment. This foundation was built upon a solid grounding in computer science obtained at Concordia University. My research aims to understand how blockchain technology can revolutionize various industries and address real-world challenges through innovative solutions. Professional certifications and participation in development programs have enhanced my technical skills and teaching capabilities, reflecting my dedication to continuous learning and advancement in the fields of computer science and blockchain research.
Publications
1. Liu, C. 2021. FSM for Modeling for Off-Blockchain Computation. Faculty of Graduate Studies Online Theses. Dalhousie University, Halifax, Nova Scotia, Canada. http://hdl.handle.net/10222/80335. Master Thesis.
2. Bodorik, P., Liu, C., Jutla, D. (2021). Using FSMs to Find Patterns for Off-Chain Computing: Finding Patterns for Off-Chain Computing with FSMs. In 2021 The 3rd International Conference on Blockchain Technology (ICBCT '21), March 26-28, 2021, Shanghai, China. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3460537.3460565.
3. Liu, C., Bodorik, P., Jutla, D. (2021a). A Tool for Moving Blockchain Computations Off-Chain. In Proceedings of 2021 3rd ACM International Symposium on Blockchain and Secure Critical Infrastructure (BSCI'21), June 3-7, 2021, Virtual Event, Hong Kong. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3457337.3457848. Acceptance rate: 36.7%.
4. Liu, C., Bodorik, P., & Jutla, D. (2021b). From BPMN to smart contracts on blockchains: Transforming BPMN to DE-HSM multi-modal model. 2021 International Conference on Engineering and Emerging Technologies (ICEET), 1–7. https://doi.org/10.1109/ICEET53442.2021.9659771. Acceptance rate: 30%.
5. Liu, C., Bodorik, P., Jutla, D. (2022a). Automating Smart Contract Generation on Blockchains Using Multi-modal Modeling. Journal of Advances in Information Technology (JAIT). https://doi.org/10.12720/jait.13.3.213-223. Acceptance Rate: 5%, CiteScore: 4.2.
6. Liu, C., Bodorik, P., Jutla, D. (2022b). Supporting Long-term Transactions in Smart Contracts. 2022 IEEE Fourth International Conference on Blockchain Computing and Applications (BCCA), 11–19. https://doi.org/10.1109/BCCA55292.2022.9922193. Acceptance Rate: 18.89%.
7. Bodorik, P., Liu, C., Jutla, D. (2023). TABS: Transforming automatically BPMN models into blockchain smart contracts. Blockchain: Research and Applications (Elsevier), 100115. https://doi.org/10.1016/j.bcra.2022.100115. Impact Factor: 5.6, CiteScore: 11.3.
8. Liu, C. G., Bodorik, P., & Jutla, D. (2023). Long-Term Blockchain Transactions Spanning Multiplicity of Smart Contract Methods. In Springer BlockSys: Blockchain and Trustworthy Systems. https://doi.org/10.1007/978-981-99-8104-5. Acceptance rate: 27.8%.
9. Liu, C., Bodorik, P., & Jutla, D. (2024). Transforming Automatically BPMN Models to Smart Contracts with Nested Trade Transactions (TABS+). Distributed Ledger Technologies: Research and Practice. https://doi.org/10.1145/3654802.
10. Liu, C. G. (2024). Supporting Long-term Transactions in Smart Contracts Generated from Business Process Model and Notation (BPMN) Models. Faculty of Graduate Studies Online Theses. Dalhousie University, Halifax, Nova Scotia, Canada. http://hdl.handle.net/10222/83441. PhD Dissertation.