CE PHD, UCSC
xzhan330@ucsc.edu
About Me
I am a 5th-year Ph.D. candidate in University of California Santa Cruz, under the guidance of Prof. Chen Qian. My research works orbit around Computer networks and Blockchain. Before studying in the United States, I had been living in China and got my Bachelor degree in Computer Science and Technology from University of Science and Technology of China (USTC).
PhD, Computer Engineering
Instructor: Prof. Chen Qian
Research Interests: Computer networks, Blockchain
Bachelor, Computer Science and Technology
Instructor: Prof. Xiangyang Li, Prof. Panlong Yang
Research Interests: Wireless Networking
Designed XHub, a new design of decentralized network architecture of a cross-chain PCN, which supports multi-hop paths across multiple blockchains and resolves both interoperability and throughput scalability.
Design BDFL, the first blockchain-based fully decentralized federated learning system for model verification with high learning accuracy and system robustness.
Designed APCN, a new design of payment channel networks that enables sharing and freely allocating funding among all payment channels of a single user.
Designed WebFlow, a new routing protocol for Payment Channel Networks(PCN) with low overhead and high resource utilization, along with an privacy-enhanced to hide the identities of source and destination of transactions.
Designed an adaptive Reed-Solomon coded backscatter system to protect the data transmission against the intermittent nature of the excitation signals in the ambient backscatter system to overcome low throughput in the backscatter communication system using WiFi signal due to the dynamic channel idle period.
Proposed a coded-backscatter multiplexing access scheme for backscatter communications in order to meet the loose coupling and high capacity requirements to deploy the backscatter communication in dense and heterogeneous environments.
[FALL 2019] CSE 150: Introduction to Computer Networks, Teaching Assistant
[FALL 2020, WINTER 2021] CSE 102: Introduction to Analysis of Algorithms, Teaching Assistant
[FALL 2021, FALL 2022] CSE 101: Introduction to Data Structures and Algorithms, Teaching Assistant
[WINTER 2022, SPRING 2022] CSE 107: Probability and Statistic for Engineers, Teaching Assistant