Hailin Sang (桑海林)

 

Associate Professor, PhD

 

Department of Mathematics

The University of Mississippi

University, MS, USA    38677

 

Office: Hume 325

Tel: +1 662-915-7398    Fax: +1 662-915-5491

Email: sang@olemiss.edu

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Brief Biography   

 

I am an associate professor in the Department of Mathematics at the University of Mississippi. I am a member of the statistics research group. I finished a Ph.D. in August 2008 under the supervision of Professor Evarist Giné.

 

Home

 

Teaching

 

Research

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Research Interest

 

  • Time Series, Random Fields
  • Nonparametric Statistics, Robust Statistics, Self-normalized Statistics
  • Empirical Processes, Theory on Machine Learning, Deep Learning
  • Survey Sampling Design & Analysis

    •  

     

     

    Eduation

     

  •   Ph.D. in Mathematics (with concentration in probability and statistics), August 2008 University of Connecticut
  •   Master in Statistics, May 2008, University of Connecticut
  •   Master in Mathematics, 2003, New Mexico State University
  •   B.S. in Mathematics, 1994, Beijing Normal University

    •  

     

     

    Experience

     

  •   Associate Professor, Department of Mathematics, The University of Mississippi, June 2018-present
  •   Research Fellow, Statistical and Applied Mathematical Sciences Institute (SAMSI), Aug. 2018-Dec. 2018
  •   Assistant Professor, Department of Mathematics, The University of Mississippi, June 2012-June 2018
  •   Visiting Assistant Professor, Department of Statistics, Indiana University, Sept. 2011-May 2012
  •   Postdoctoral Fellow, National Institute of Statistical Sciences (NISS) & Duke University, USA, Jan. 2010-June 2011
  •   Visiting Assistant Professor, Department of Mathematics, University of Cincinnati, Sept. 2008-Dec. 2009

    •  

     

     

    Awards

     

     Simons Foundation Collaboration Grants (Sep. 2018-Aug. 2023) Award No. 586789

     

     2023 Excellence in Advising Award winner for faculty, University of Mississippi

     

     

     

    Professional Service:

     

     Associate Editor, Statistics and Probability Letters, October, 2019-present

     

     Guest Editor, special issue on deep learning at the Journal of Statistical Theory and Practice, 2020

     

     NSF Panelist, Statistical Program, National Science Foundation, USA.

     

     

     

    Ph.D Students Supervision

     

     Janet Nakarmi, August 2016

           Ph.D thesis: “On variable bandwidth kernel density and regression estimation”.

          Position: Tenure track Assitant Professor, University of Central Arkansas, Department of Mathematics

     

     

     Yongli Sang, May 2017

          Ph.D thesis: “Memory properties of transformations of linear processes and symmetric Gini correlation”.

          Position: Tenure track Assitant Professor, University of Louisiana at Lafayette, Department of Mathematics

     

     

     Aleksandr Beknazaryan, August 2019

          Ph.D thesis: “Cramér type moderate deviations for random fields and mutual information estimation for mixed-pair random variables”.

          Position: Tenure Track Assistant Professor, Tyumen State University (University of Tyumen), Russia.

     

     

     Timothy Fortune, August 2020

          Ph.D thesis: “A local limit theorem for linear random fields and Shannon entropy estimation for linear processes”.

          Position: Tenure track Assitant Professor, Nicholls State University, Department of Mathematics, Louisiana.

     

     

     Chathurika Abeykoon, May 2023

          Ph.D thesis: “Double descent behavior in two-layer neural network for binary classification".

          Position: Tenure track Assitant Professor, Rhodes College, Tennessee.

     

     

     Mahmud Hasan, May 2024, expected

           Working on generalization theory on generative adversarial network (GAN) models.

     

     

     

    Professional Memberships

     

     American Statistical Society (ASA)

     Institute of Mathematical Statistics (IMS)

     

     

     

    Back to Top