Dr. Christian G. Liu, Ph.D. - Halifax, Canada

chris.liu@dal.ca - https://blockchain.cs.dal.ca

Ph.D. in Computer Science | Postdoctoral Fellow

Dr. Christian G. Liu is a postdoctoral researcher focusing on software engineering, big data, network security, smart contracts, and blockchain technology, and he is affiliated with Dalhousie University. Dr. Liu received his Ph.D. in Computer Science from Dalhousie University. He also holds master’s degrees from Concordia University and Dalhousie University, with expertise in blockchain technology, software modeling, and engineering. With over twenty years of experience in the IT industry, he has led key projects and teams at global tech giants such as Ericsson, CGI, IBM, and Samsung. Currently, he continues his research at Dalhousie University and imparts his extensive knowledge as an educator of computer science.

Education

• Doctor of Philosophy in Computer Science (Dalhousie University, Halifax, Canada (2021-2024))

  Thesis Title: Supporting Long-term Transactions in Smart Contracts Generated from Business Process Model and Notation (BPMN) Models

• Master of Computer Science (Dalhousie University, Halifax, Canada (2019-2020))

  Thesis Title: FSM for Modeling for Off-Blockchain Computation

• Master of Applied Science in Computer Science (Concordia University, Montreal, Canada (2005-2007))

  Course-based degree

Professional Experience

• Academic

  • Postdoctoral Fellow (Dalhousie University (9/2018 - Present) under the supervision of Drs. Ye and Bodorik)

    Project Title: Adapting the TABS tool for SMEs to generate smart contracts for sustainability and safety data of their products

  • Instructor – Teaching university courses on a part-time basis

    • CSCI 2133 - Rapid Prototyping (2019) – Dalhousie University

      2^nd-year course in Computer Science program
      

    • CSCI 4140 - Advanced Database Systems (2017, 2018, 2021 Summer & Fall Terms) – Dalhousie University

      4^th-year course in Computer Science

    • MCDA 5560 - Business Intelligence (2018 Summer & Fall) – Saint Mary’s University

      Graduate course in the Data Analytics program

    • CSCI 5408 - Data Warehousing (2018 Winter) – Dalhousie University

      Graduate course in the Master of Applied Computer Science Program

  • Teaching Assistant (TA) – Dalhousie University

    Leading Labs and Tutorials and Interacting with Students

    • CSCI 4140 (9 course deliveries)
    • CSCI 6313 (3 course deliveries)
    • CSCI 5409 (1 course delivery)

•  Industrial

  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.

  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.

  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.

  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.

   

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. USPTO Utility Patent Application Number: 17968047; Submitted: 2022-10-18. Inventors: P. Bodorik, C. Liu, D. Jutla

Publications

• Liu, C. G.; Bodorik, P.; and Jutla, D. (2024). Smart Contracts for SMEs and Large Companies. In 2024 IEEE Virtual Conference on Communications (IEEE VCC). Accepted for publication. https://blockchain.cs.dal.ca/papers/SMEs.

• Liu, C. G.; Bodorik, P.; and Jutla, D. (2024). Transforming Automatically BPMN Models to Smart Contracts with Repair/Upgrade (TABS+R). [Manuscript submitted for publication]. In Elsevier Journal of Blockchain: Research and Applications. https://blockchain.cs.dal.ca/papers/BCRAj2. Impact Factor: 5.6, CiteScore: 11.3.

• Liu, C., Bodorik, P., & Jutla, D. (2024). Transforming Automatically BPMN Models to Smart Contracts with Nested Trade Transactions (TABS+). In ACM Journal Ledger Technologies: Research and Practice, Volume 3, Issue 3, Article No.: 21, Pages 1-37. https://doi.org/10.1145/3654802.

• 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.

• 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%.

• Bodorik, P., Liu, C., Jutla, D. (2023). TABS: Transforming automatically BPMN models into blockchain smart contracts. In Elsevier Journal of Blockchain: Research and Applications, 100115. https://doi.org/10.1016/j.bcra.2022.100115. Impact Factor: 5.6, CiteScore: 11.3.

• 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%.

• 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.

• Liu, C., Bodorik, P., & Jutla, D. (2021b). From BPMN to smart contracts on blockchains: Transforming BPMN to DE-HSM multi-modal model. 2021 IEEE International Conference on Engineering and Emerging Technologies (ICEET), 1-7. https://doi.org/10.1109/ICEET53442.2021.9659771. Acceptance rate: 30%.

• 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%.

• 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 ACM 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.

• 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.