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Engineering @ Settle

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工作经历和教育背景

  • Settle

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资格认证

出版作品

课程

  • Analysis of Algorithms

    CSCI 570

  • Database Systems

    CSCI 585

  • Directed Research

    CSCI590

  • Foundations of Artificial Intelligence

    CSCI 561

  • Operating Systems

    CSCI 402

  • Web Technologies

    CSCI 571

所做项目

  • Building Website and Android App for Retrieving Congress Information

    - Built an AWS-based congress information retrieve website using a combination of HTML, CSS, PHP,
    AJAX, JSON, jQuery, AngularJS and Bootstrap technologies
    - Provided an Android app to perform congress information search

  • A decision theoretic agent based on Bayesian networks

    Implemented an agent in Python that selects rational actions to maximum expected utility

  • Logic Inference system based on Backward chaining

    Implemented a backward chaining system in Python that gets the rules of data-mining in First Order Logic which will help users to find out if a certain information can be extracted

  • Territory Game Simulation

    Built a territory game playing agent in Python using Greedy BFS, Minimax and Alpha-Beta Pruning algorithms that predicts the next best move from a given board configuration using game trees and positional weight evaluation functions

  • Token Bucket Filter Emulation: Multi Thread Programming

    Developed a Token Bucket Emulation implementing Multi-threading in C using POSIX library

  • Animal Information Tracking System, a Spatial Database Project

    Create an application with a GUI, which allows users to interact with the spatial data
    Got familiarized with spatial data types using Oracle Spatial features and JDBC

  • The Design and Implementation of an Optimized Small File Problem Solution based on Hadoop

    This paper firstly analyzes related work and points out the small file problem of HDFS: large numbers of small files impose heavy burden on NameNode of HDFS; correlations between small files are not considered for data placement; no optimization mechanism to improve I/O performance. Secondly, from the point of systematic view, files are firstly classified into three types. Thirdly, the file merging and prefetching scheme is applied for structurally-related small files, and a boundary filling…

    This paper firstly analyzes related work and points out the small file problem of HDFS: large numbers of small files impose heavy burden on NameNode of HDFS; correlations between small files are not considered for data placement; no optimization mechanism to improve I/O performance. Secondly, from the point of systematic view, files are firstly classified into three types. Thirdly, the file merging and prefetching scheme is applied for structurally-related small files, and a boundary filling algorithm and a multilevel prefetching and caching strategy to improve the reading efficiency of small files on HDFS is presented. Finally, based on the above three steps, an optimized approach is designed to improve the storage and access efficiencies of small files on HDFS.

    Experimental results demonstrate that the proposed schemes effectively improve the storage and access efficiencies of small files, compared with native HDFS.

  • Weenix Operating System kernel

    -

    - Completed the Weenix Operating System.
    - Implemented 3 fundamental parts of the kernel system including Process&Thread, Virtual File
    System and Virtual Memory.
    - Programmed in C and debugged using gdb under Ubuntu.

    其他创始人
  • Design of WLAN Program Based on Near Field Communication Technology

    -

    Designed a WLAN model protecting the four-way handshake to eliminate the risk of intercept;
    Implemented the WLAN program based on NFC on Android

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荣誉奖项

  • Scientific Practice and Innovation Scholarship

    Northeastern University

  • National Scholarship of China

    Ministry of Education of the People's Republic of China

    Ranked top 1% in major

语言能力

  • English

    中高级 (商务会话)

  • Chinese

    母语或精通双语

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