معرفی
Stephen Fan is an Assistant Professor of Computing Sciences at The King's University. He holds a Ph.D. and MSc in Software Engineering from the University of Alberta (2023 and 2019, respectively) and a B.Sc. from the University of Electronic Science and Technology of China (2012). Prior to academia, he worked as an IT engineer at Huawei Technologies Co. Ltd. for four years. After his Ph.D., he conducted postdoctoral research at the ENTAIL Lab (ENergy digiTizAtIon Lab) under Dr. Petr Musilek at the University of Alberta.
Education:
- Ph.D. in Software Engineering, University of Alberta (2023)
- MSc in Software Engineering, University of Alberta (2019)
- B.Sc. in Computer Science, University of Electronic Science and Technology of China (2012)
Research Interests: His work focuses on blockchain and distributed ledger systems, with applications in transactive energy and zero-knowledge machine learning. He explores performance evaluation, modeling, and optimization of distributed systems, including cloud computing and smart community frameworks. His recent work emphasizes secure peer-to-peer energy trading and scalable DAG-based distributed ledgers.
Publications: His research trends highlight advancements in blockchain applications for energy systems, distributed ledger performance analysis, and zero-knowledge machine learning. Key contributions include frameworks like BPET for peer-to-peer energy trading and studies on DAG-based systems for scalability in smart communities.
Labs & Collaborations: He contributed to the ENTAIL Lab at the University of Alberta, focusing on energy digitization and distributed systems.
