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Wenyu Du

E-mail: wdu1@binghamton.edu
  • Office: : Old Whitney Hall (OW) 315
  • Office hours:
    MW10:50-11:50
    F10:00-11:00
  • Courses:
    • Fall 2014

      Math 221 Section 14 : Calculus I
      MWF 9:40 - 10:40 LH-11
      T 8:30 - 9:55 OW-G002

Following is more information about me:

Here is a link to my CV

  • Education
    • 09/2010 – Present Doctor of Philosophy in Mathematics (Concentration: Statistics)
      Institution:
      Department of Mathematical Sciences
      State University of New York at Binghamton
      Binghamton, New York, United States of America
      Advisor: Aleksey S. Polunchenko
      GPA: 4.0/4.0
    • 09/2010 – 05/2012 Master of Arts in Mathematical Sciences
      Institution:
      Department of Mathematical Sciences
      State University of New York at Binghamton
      Binghamton, New York, United States of America
      GPA: 3.979/4.0
    • 09/2006 – 07/2010 Bachelor of Science in Computational Mathematics
      Institution:
      Department of Mathematical Sciences
      Dalian University of Technology
      Dalian, Liaoning, P.R. China
      GPA: 90.7/100
  • Employment
    • 06/2014 – 08/2014 Data Scientist (Internship)
      Institution:
      Solar Durability and Lifetime Extension (SDLE) Center
      Case School of Engineering
      Case Western Reserve University
      Cleveland, Ohio, United States of America

      Duties:
      • Developed a Semi-gSEM R package implementing paralleled algorithm which handled big data.
      • Designed predictive statistical model for big real-world data with large sample size and high dimensions.
      • Conducted Exploratory Data Analysis (EDA) by using ggplot, pairplot and residual plot in R.
      • Performed high dimensional data visualization, outlier identification and analysis by using GGobi.
      • Developed an interactive R program for image analysis, which enabled functionalities of cropping, converting from color to gray scale, boundary identification and dark area computation.
      • Adopted Git to fulfill version control and non-linear development of software.
      • Utilized Hadoop to collect real-world data and analyzed the big data set by using R.
    • 09/2010 – Present Graduate Research and Teaching Assistant
      Institution:
      Department of Mathematical Sciences
      State University of New York at Binghamton
      Binghamton, New York, United States of America
  • Areas of Professional Interest
    • Statistical Data Analysis and Inference
    • Sequential Analysis
    • Sequential Quickest Change-Point Detection Problem
    • Dimension Reduction and Visualization of Big Data
    • Statistical Software Development
  • Publications
    • Du, W., Polunchenko, A.S. and Sokolov, G., “Robustness of the Shiryaev–Roberts Quickest Change-Point Detection Procedure with Respect to Post-Change Parameter Misspecification”, to be submitted to Methodology and Computing in Applied Probability, 2014. Invited paper for Special Issue dedicated to the 7-th International Workshop on Applied Probability (IWAP’2014).
    • Du, W., Sokolov, G., and Polunchenko, A.S., “An Exact Formula for the Average Run Length to False Alarm of the Generalized Shiryaev-Roberts Detection Procedure under Exponential Observations”, Proceedings of the 12th German-Polish Workshop on Stochastic Models, Statistics and Their Applications, 2014, (submitted).
    • Polunchenko, A.S., Sokolov, G., and Du, W., “Efficient Performance Evaluation of the Generalized Shiryaev–Roberts Detection Procedure in a Multi-Cyclic Setup”, Applied Stochastic Models in Business and Industry, 2014 (accepted); DOI: 10.1002/asmb.2026. Invited paper.
    • Polunchenko, A.S., Sokolov, G., and Du, W., “An Accurate Method for Determining the Pre-Change Run Length Distribution of the Generalized Shiryaev–Roberts Detection Procedure”, Sequential Analysis, 33:(1), pp. 112-134, 2014; DOI: 10.1080/07474946.2014.856642. Invited paper.
    • Polunchenko, A.S., Sokolov, G., and Du, W., “On Efficient and Reliable Performance Evaluation of the Generalized Shiryaev-Roberts Change-Point Detection Procedure”, Proceedings of the 56th Moscow Institute of Physics and Technology Annual Scientific Conference, Moscow, Russia, 25-30 November 2013. Best talk award.
    • Polunchenko, A.S., Sokolov, G., and Du, W., “Quickest Change-Point Detection: A Bird's Eye View”, Proceeding of the 2013 Joint Statistical Meetings (JSM-2013), Montrèal, Quèbec, Canada, 3-8 August 2013.
  • Invited Talks
    • 10/23/2014 “On Robustness of the Shiryaev–Roberts Change-Point Detection Procedure under Parameter Misspecification in the Post-Change Distribution”, Statistics Seminar, Binghamton University, Binghamton, NY.
    • 04/26/2014 “Introduction to Change-Point Detection”, The 28th New England Statistics Symposium, Harvard University, Boston, MA.
    • 07/19/2013 “An Accurate Method to Study the Shiryaev–Roberts Detection Procedure's Pre-Change Run Length Distribution”, The 4th International Workshop on Sequential Methodologies, University of Georgia, Athens, GA.
    • 06/05/2013 “State-of-the-Art in Sequential Change-Point Detection”, The 30th Quality and Productivity Research Conference, GE Global Research, Niskayuna, NY.
    • 02/20/2013 “An Accurate Method to Study the Shiryaev–Roberts Detection Procedure's Run Length Distribution”, The 11th Workshop on Stochastic Models and their Applications, Helmut Schmidt University, Hamburg, Germany.
  • Awards and Honors
    • International Workshop on Sequential Methodologies 2013 Student Scholarship Award (2013)
    • New York State and Graduate Student Employees Union Professional Development Award (2013)
  • Teaching
    • As an Instructor:
      • MATH 222 - Calculus II: Fall 2013, Spring 2014
      • MATH 221 - Calculus I: Fall 2012, Spring 2013, Fall 2014
      • MATH 130 - Mathematics in Action: Summer 2012
    • As a Teaching Assistant:
      • MATH 148 - Elementary Statistics for Biologists: Fall 2011, Spring 2012
      • MATH 147 - Elementary Statistics: Fall 2010, Spring 2011
people/grads/wdu/start.txt · Last modified: 2017/02/27 05:10 (external edit)